Academic literature on the topic 'Networking and computing resources'
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Journal articles on the topic "Networking and computing resources"
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Yasodha K, M. Shabitha Sree, Krishna Sri. S, Kirubha Shakthi. J, Karthick. K, and Kanishka. N. "Networking in Cloud Computing: Embracing Contests and Seizing Prospects." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 3 (2024): 53–63. http://dx.doi.org/10.32628/ijsrset241138.
Full textAbstract:
Cloud computing presents the concept of utility computing, which allows users to access computing, storage, and networking resources as needed, with a usage-based pricing model. However, consumers have limited control over network resources, and cloud-computing providers confront a number of issues when operating infrastructure as a service (IaaS) environments. This research investigates the networking difficulties and federation challenges inherent in IaaS, as well as unique software-defined networking (SDN) concepts that could provide efficient solutions for future deployments.
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Babu, R., K. Jayashree, and R. Abirami. "Fog Computing Qos Review and Open Challenges." International Journal of Fog Computing 1, no. 2 (2018): 109–18. http://dx.doi.org/10.4018/ijfc.2018070104.
Full textAbstract:
Internet of Things (IoT) enables inters connectivity among devices and platforms. IoT devices such as sensors, or embedded systems offer computational, storage, and networking resources and the existence of these resources permits to move the execution of IoT applications to the edge of the network and it is known as fog computing. It is able to handle billions of Internet-connected devices and is well situated for real-time big data analytics and provides advantages in advertising and personal computing. The main issues in fog computing includes fog networking, QoS, interfacing and programming model, computation offloading, accounting, billing and monitoring, provisioning and resource management, security and privacy. A particular research challenge is the Quality of Service metric for fog services. Thus, this paper gives a survey of cloud computing, discusses the QoS metrics, and the future research directions in fog computing.
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HamaAli, Kurdistan Wns, and Subhi R. M. Zeebaree. "Resources Allocation for Distributed Systems: A Review." International Journal of Science and Business 5, no. 2 (2021): 76–88. https://doi.org/10.5281/zenodo.4462088.
Full textAbstract:
Resource allocation in a distributed system is the process of allocating the workload across multiple resources to optimize the required performance criteria. Different techniques are used to manage resource allocation in such distributed systems. The resource allocation for distributed systems such as cloud computing, cellular network, Software-Defined Networking (SDN), Radar Imaging and 5G Networks are used. In this paper many resource allocation algorithms in different environment and area that mentioned before are reviewed, compared and summarized. for instance, Cloud-based computation algorithm implementations in cloud computing, Direction Method of Multipliers (ADMM) algorithm for SDN Networking, FFR algorithm application in cellular network, Fairness-based Distributed Resource Allocation (FDRA) algorithm for 5G networks, then each the results in each area are discussed in critique point of view.
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Thilak Raj Surendra Babu. "Advancing Edge Computing: A Technical Analysis of Lightweight Network Virtualization." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 1089–96. https://doi.org/10.32996/jcsts.2025.7.4.123.
Full textAbstract:
This technical analysis examines a novel lightweight network virtualization architecture specifically designed for resource-constrained edge environments. As computational resources increasingly shift toward network edges, traditional virtualization approaches optimized for well-resourced data centers face fundamental limitations when deployed in edge scenarios. The architecture addresses these challenges through several innovative approaches: distributing decision-making capabilities to edge nodes with local caching mechanisms, implementing streamlined packet processing pipelines, employing dynamic resource allocation techniques, and reimagining security implementations for resource efficiency. These architectural innovations enable sophisticated networking capabilities on hardware platforms with significant constraints in processing power, memory bandwidth, connectivity, and energy availability. The architecture has demonstrated practical effectiveness across diverse deployment scenarios including community mesh networks, remote healthcare clinics, disaster response systems, and industrial IoT environments. By fundamentally rethinking virtualization through the lens of extreme resource constraints, this approach extends advanced networking capabilities to previously underserved environments, potentially transforming how organizations deploy network services in remote locations, disaster response scenarios, and developing regions with limited infrastructure.
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Arwa Mohamed, Mosab Hamdan, Ahmed Abdelazizb, and Sharief F. Babiker. "Dynamic Resource Allocation in Cloud Computing Based on Software-Defined Networking Framework." Open Journal of Science and Technology 3, no. 3 (2020): 304–13. http://dx.doi.org/10.31580/ojst.v3i3.1668.
Full textAbstract:
cloud computing has become more powerful with the inclusion of software-defined networking (SDN) in its environment. In Cloud Data Centers (CDCs), an important research issue is how to forecast and allocate resources efficiently whilst achieving Quality of Service (QoS) of users request with minimal overall power consumption; taking into account the frequent changes in resource requirements. In this paper, we propose a Supervisor Controller-based Software-Defined Cloud Data Center (SC-boSD-CDC) framework for dynamic resource allocation and prediction of cloud computing-based SDN. In this proposed module, Genetic Algorithm (GA) is proposed to deal with the multi-objective problem of dynamically forecasting the utilization of resources in both compute nodes and links bandwidth of network as well as energy consumption in the Cloud Data Center (CDC). Furthermore, a Virtual Machines (VMs) placement algorithm is also proposed to allocate computing resources and routing algorithms to choose the proper bandwidth links between switches; resulting in increased CPU and memory utilization and reduction in overall power consumption.
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Thapliyal, Shivankur. "A Newly Proposed Prospective and Robust Computer Networking Model Architecture Based on the Infrastructure of Cloud Computing Contrivance." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 331–37. http://dx.doi.org/10.22214/ijraset.2021.37901.
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Abstract: Computer Networking Play’s a major role for data communication or data sharing and data transmissions from one location to another, which are geographically differ, but in today’s scenario where the main and primary major concerns are not to data transfer but also utilize all resources with greater efficiency and also preserves the confidentiality and integrity of the messages with respect to speed and time with lower Bandwidth and also consume a very low computational costs with low power supply and redirect to optimality. Cloud Computing also play’s a significant role to access data at geographically different locations. So In this paper we create a fusion of Computer Networking Architecture and Cloud Computing Architecture and released a very much superior fundamentally strong Cloud computing based Computer Networking model, which works on the concepts of ‘Virtualization’. Because when the number of hardware components (Servers) drastically increases all factors which are responsible to make possible networking among nodes are also consume each resources at extreme level, and networking becomes complex and slow, that’s why we used the concept of Virtual Machine. In this paper we proposed a Computer Networking model using the concepts of Cloud Computing. This model also suitable for data transmission but also take concern the most significant feature of Computer Networking, which is Data Security. This model also used some Proxy servers/ firewalls to take concern some security mechanisms. In this paper we also proposed Communication Oriented model among the Intercluster domains that how one node which belongs to another CLOUD cluster make possible communication among other InterCLOUD clusters with respect to data security measures. In this paper we proposed three models related to this networking model, which is CLOUD Networking Infrastructure, Connection Oriented model, Communication Oriented model. The detailed description of all three models are in the upcoming sections of this paper. Keywords: Cloud computing based computer networking model, A virtual model for computer networking, Computer Networking model based on virtualization, Virtualization based computer networking model.
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Chen, Jing, Tao Li, and Min Huang. "The privacy protection of the internet of vehicles resource transaction details based on blockchain." PLOS ONE 20, no. 1 (2025): e0312854. https://doi.org/10.1371/journal.pone.0312854.
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The rapid development of Internet of Things technology has promoted the popularization of Internet of Vehicles, and its safety and reliability have become the focus of intelligent transportation system research. Vehicle-road collaboration relies on the collaborative computing and storage resources of the vehicle on-board unit (OBU), which are usually limited. When the vehicle in the edge area needs to do computing tasks such as intelligent driving, but its own computing resources are insufficient. Therefore, it needs other computing resources from idle vehicles and road side unit (RSU). This resource sharing can get additional computing resources to complete the task, and can be more convenient to complete the computing task quickly. Most current studies consider this type of resource sharing as a vehicle-to-vehicle (V2V) network transaction, aiming to stimulate the enthusiasm of vehicle sharing and optimize the utilization of computing resources in edge areas. However, the traditional blockchain transaction mode exposes serious privacy disclosure risks in vehicle networking resource transactions, including the openness and transparency of user identity, transaction details, and transaction addresses, which poses great challenges to data security. Therefore, this study innovatively proposed a blockchain-based privacy protection scheme for vehicle networking resource transaction details. By introducing committed value protection, zero-knowledge proof technology and constructing temporary transaction addressed mechanism. The scheme realized the comprehensive privacy protection of transaction funds, transaction details and transaction addresses, which could effectively avoid the disclosure of users’ sensitive information. Compared with the existing methods, the proposed scheme not only greatly enhanced the privacy protection capability, but also ensured the efficiency and security of transaction verification through zero-knowledge proof, avoiding the direct exposure of private keys. Meanwhile, the experimental verification demonstrates that the scheme not only enhances the level of privacy protection but also does not augment the supplementary processing burden. Furthermore, it is evident that the scheme meets the rigorous requirements for real-time resource transactions in the Internet of Vehicles.
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Jichkar, Gaurav. "Transforming Data Sharing via Advanced Peer-to-Peer Communication and Networking." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46199.
Full textAbstract:
Abstract 5G networks promise super-fast internet, but efficiently sharing resources is a big challenge, especially when users directly connect with each other (Peer-to-Peer). This research explores a new way to allocate resources in 5G P2P communication. We use machine learning to predict how much data will be used and adjust resource sharing in real-time. This means that users with the most urgent needs get priority, and resources are distributed fairly. Our method significantly improved network performance. Simulations showed a 30% increase in data transfer speeds, a 25% reduction in delays, and an 18% overall efficiency boost. Compared to older methods, our approach better balances the load and minimizes data loss. Extensive testing in a 5G environment confirmed the system's effectiveness, demonstrating its ability to handle many users and adapt to changing conditions. In conclusion, our research shows that P2P communication, combined with intelligent resource allocation, can unlock the full potential of 5G networks for data transfer. Keywords: 5G Networks, Peer-to-Peer Communication, Resource Allocation, Data Transmission, Machine Learning, Internet of Things (IoT), Edge Computing, Network Slicing, Artificial Intelligence (AI), Blockchain, Cloud Computing, Latency Optimization, Spectrum Management, Smart Cities, Wireless Sensor Networks.
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Deekshita, Vishwanath K., L. N. Haritej, S. Amrute Himani, Prakash Keerthana, and P. Jayarekha. "A Survey on Green Networks and Communications." Journal of Network Security Computer Networks 5, no. 3 (2019): 37–41. https://doi.org/10.5281/zenodo.3538884.
Full textAbstract:
<em>Green computing is the efficient use of computers and their resources, so that electronic devices can be environmentally viable and ecofriendly. It encompasses a broad range of disciplines like design, engineering, manufacturing, usage and disposal of computing devices. Green computing involves the efficient use of servers, CPU and network peripherals with resource management and proper disposal techniques to lessen e-waste generated.</em><em> Adoption of Green computing assures minimal functional expenses in any organization as well as lower the detrimental environmental impacts while ascertaining maximal profits. It covers all aspects of a network architecture like PCs, switches, routers, peripherals and communication media. Green networking is the term used to refer to the process of making computer networks more environmentally friendly and energy efficient. It includes processes that will directly or indirectly reduce the energy usage and consumption thus reducing the negative impact on the environment. Some of the best practices used in green networking are: Incorporating the concept of virtualization, High availability servers obtained by consolidation, Upgradation of equipment, managing systems in an efficient way, Using efficient techniques like video conferencing VPN’s over physical travel. Green communications can be defined as the adoption of eco-friendly, energy-efficient communication and networking advancements to truncate the usage of resources in every possible aspects of communication.</em>
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Li, Xi, Thomas DeiB, Josep Mangues-Bafalluy, et al. "Automating Vertical Services Deployments over the 5GT Platform." IEEE Communications Magazine 58, no. 7 (2020): 44–50. https://doi.org/10.1109/MCOM.001.1900582.
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This article presents a system for 5G networks that makes it possible to meet the diverse needs of vertical industries simultaneously sharing the same physical infrastructure. Orchestration, network slicing, edge computing, and federation are key technologies enabling industry verticals to have their own virtual networks, which might require aggregating transport networking and computing fabric, from the edge up to the core and cloud. Three novel building blocks are defined to meet these challenges in an automated manner: a vertical slicer as the entry point to create services and request slices, a service orchestrator to manage the services and decide their placement and allocation of required resources, and a mobile transport and computing platform virtualizing infrastructure networking and computing resources in an integrated manner. An experimental evaluation of the developed system shows its feasibility and confirms some of the benefits expected.
Dissertations / Theses on the topic "Networking and computing resources"
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Grassi, Giulio. "Connected cars : a networking challenge and a computing resource for smart cities." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066554/document.
Full textAbstract:
Récemment, les villes sont devenues "de plus en plus intelligentes", avec une multitude de périphériques IoT et de capteurs déployés partout. Parmi ces objets intelligents, les voitures peuvent jouer un rôle important. Les véhicules sont (ou seront), en effet, équipés avec plusieurs interfaces réseau, ils ont (ou auront) des capacités de calcul et des dispositifs capables d'analyser l'environnement. Pour réaliser le concept de "connected-car" il faut un changement de modèle Internet, à partir d'une architecture centrée sur l'hôte (IP) vers un paradigme centré sur l'information, comment l'architecture ICN (Information Centric Networking). Cette thèse analyse ainsi les avantages et les défis du paradigme ICN, en particulier du Named Data Networking (NDN), dans le domaine VANET, en présentant la première implémentation de NDN pour VANET (V-NDN). Il propose ensuite Navigo, un mécanisme de forwarding basé sur NDN pour la récupération de contenu en utilisant les communications V2V et V2I. Ensuite, le problème de la mobilité des fournisseurs de données est traité, proposant une solution distribuée basée sur NDN, MAP-Me. Toutefois, le rôle du véhicule dans les villes intelligentes ne s'arrête pas au niveau de la connectivité. Les voitures, avec leurs nouvelles capacités de calcul, sont les candidates idéales pour jouer un rôle dans l'architecture Fog Computing, en déplaçant des tâches de calcul vers l'edge du réseau. En tant que preuve de concept, cette thèse présente ParkMaster, un système qui combine les techniques de machine learning, le cloud et l'edge pour analyser l'environnement et traiter le problème de la disponibilité du stationnement<br>In the recent years we have seen a continuous integration of technology with the urban environment. This fusion aims to improve the efficiency and the quality of living in big urban agglomerates, while reducing the costs for their management. Cities are getting “smarter and smarter”, with a plethora of IoT devices and sensors deployed all over the urban areas. Among those intelligent objects, an important role may be played by cars. Modern vehicles are (or will be) indeed equipped with multiple network interfaces, they have (or will have) computational capabilities and devices able to sense the environment. However, smart and connected cars do not represent only an opportunity, but also a challenge. Computation capabilities are limited, mobility and the diversity of network interfaces are obstacles when providing connectivity to the Internet and to other vehicles. When addressing the networking aspect, we believe that a shift in the Internet model is needed, from a host oriented architecture (IP) to a more content focused paradigm, the Information Centric Networking (ICN) architectures. This thesis thus analyzes the benefits and the challenges of the ICN paradigm, in particular of Named Data Networking (NDN), in the VANET domain, presenting the first implementation running on real cars of NDN for VANET (V-NDN). It then proposes Navigo, an NDN based forwarding mechanism for content retrieval over V2V and V2I communications, with the goal of efficiently discovering and retrieving data while reducing the network overhead. Networking mobility is not only a challenge for vehicles, but for any connected mobile device. For this reason, this thesis extends its initial area of interest — VANET — and addresses the network mobility problem for generic mobile nodes, proposing a NDN-based solution, dubbed MAP–Me. MAP-Me tackles the intra-AS content provider mobility problem without relying on any fixed node in the network. It exploits notifications messages at the time of a handover and the forwarding plane to maintain the data provider “always” reachable.Finally, the “connected car” concept is not the only novel element in modern vehicles. Cars indeed won’t be only connected, but also smart, able to locally process data produced by in-car sensors. Vehicles are the perfect candidates to play an important role in the recently proposed Fog Computing architecture. Such an architecture moves computational tasks typical of the cloud away from it and brings them to the edge, closer to where the data is produced. To prove that such a model, with the car as computing edge node, is already feasible with the current technology and not only a vision for the future, this thesis presents ParkMaster. Parkmaster is a fully deployed edge-based system that combines vision and machine learning techniques, the edge (driver’s smartphone) and the cloud to sense the environment and tackle the parking availability problem
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Grassi, Giulio. "Connected cars : a networking challenge and a computing resource for smart cities." Electronic Thesis or Diss., Paris 6, 2017. http://www.theses.fr/2017PA066554.
Full textAbstract:
Récemment, les villes sont devenues "de plus en plus intelligentes", avec une multitude de périphériques IoT et de capteurs déployés partout. Parmi ces objets intelligents, les voitures peuvent jouer un rôle important. Les véhicules sont (ou seront), en effet, équipés avec plusieurs interfaces réseau, ils ont (ou auront) des capacités de calcul et des dispositifs capables d'analyser l'environnement. Pour réaliser le concept de "connected-car" il faut un changement de modèle Internet, à partir d'une architecture centrée sur l'hôte (IP) vers un paradigme centré sur l'information, comment l'architecture ICN (Information Centric Networking). Cette thèse analyse ainsi les avantages et les défis du paradigme ICN, en particulier du Named Data Networking (NDN), dans le domaine VANET, en présentant la première implémentation de NDN pour VANET (V-NDN). Il propose ensuite Navigo, un mécanisme de forwarding basé sur NDN pour la récupération de contenu en utilisant les communications V2V et V2I. Ensuite, le problème de la mobilité des fournisseurs de données est traité, proposant une solution distribuée basée sur NDN, MAP-Me. Toutefois, le rôle du véhicule dans les villes intelligentes ne s'arrête pas au niveau de la connectivité. Les voitures, avec leurs nouvelles capacités de calcul, sont les candidates idéales pour jouer un rôle dans l'architecture Fog Computing, en déplaçant des tâches de calcul vers l'edge du réseau. En tant que preuve de concept, cette thèse présente ParkMaster, un système qui combine les techniques de machine learning, le cloud et l'edge pour analyser l'environnement et traiter le problème de la disponibilité du stationnement<br>In the recent years we have seen a continuous integration of technology with the urban environment. This fusion aims to improve the efficiency and the quality of living in big urban agglomerates, while reducing the costs for their management. Cities are getting “smarter and smarter”, with a plethora of IoT devices and sensors deployed all over the urban areas. Among those intelligent objects, an important role may be played by cars. Modern vehicles are (or will be) indeed equipped with multiple network interfaces, they have (or will have) computational capabilities and devices able to sense the environment. However, smart and connected cars do not represent only an opportunity, but also a challenge. Computation capabilities are limited, mobility and the diversity of network interfaces are obstacles when providing connectivity to the Internet and to other vehicles. When addressing the networking aspect, we believe that a shift in the Internet model is needed, from a host oriented architecture (IP) to a more content focused paradigm, the Information Centric Networking (ICN) architectures. This thesis thus analyzes the benefits and the challenges of the ICN paradigm, in particular of Named Data Networking (NDN), in the VANET domain, presenting the first implementation running on real cars of NDN for VANET (V-NDN). It then proposes Navigo, an NDN based forwarding mechanism for content retrieval over V2V and V2I communications, with the goal of efficiently discovering and retrieving data while reducing the network overhead. Networking mobility is not only a challenge for vehicles, but for any connected mobile device. For this reason, this thesis extends its initial area of interest — VANET — and addresses the network mobility problem for generic mobile nodes, proposing a NDN-based solution, dubbed MAP–Me. MAP-Me tackles the intra-AS content provider mobility problem without relying on any fixed node in the network. It exploits notifications messages at the time of a handover and the forwarding plane to maintain the data provider “always” reachable.Finally, the “connected car” concept is not the only novel element in modern vehicles. Cars indeed won’t be only connected, but also smart, able to locally process data produced by in-car sensors. Vehicles are the perfect candidates to play an important role in the recently proposed Fog Computing architecture. Such an architecture moves computational tasks typical of the cloud away from it and brings them to the edge, closer to where the data is produced. To prove that such a model, with the car as computing edge node, is already feasible with the current technology and not only a vision for the future, this thesis presents ParkMaster. Parkmaster is a fully deployed edge-based system that combines vision and machine learning techniques, the edge (driver’s smartphone) and the cloud to sense the environment and tackle the parking availability problem
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Ahmed, Kishwar. "Energy Demand Response for High-Performance Computing Systems." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3569.
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The growing computational demand of scientific applications has greatly motivated the development of large-scale high-performance computing (HPC) systems in the past decade. To accommodate the increasing demand of applications, HPC systems have been going through dramatic architectural changes (e.g., introduction of many-core and multi-core systems, rapid growth of complex interconnection network for efficient communication between thousands of nodes), as well as significant increase in size (e.g., modern supercomputers consist of hundreds of thousands of nodes). With such changes in architecture and size, the energy consumption by these systems has increased significantly. With the advent of exascale supercomputers in the next few years, power consumption of the HPC systems will surely increase; some systems may even consume hundreds of megawatts of electricity. Demand response programs are designed to help the energy service providers to stabilize the power system by reducing the energy consumption of participating systems during the time periods of high demand power usage or temporary shortage in power supply.
This dissertation focuses on developing energy-efficient demand-response models and algorithms to enable HPC system's demand response participation. In the first part, we present interconnection network models for performance prediction of large-scale HPC applications. They are based on interconnected topologies widely used in HPC systems: dragonfly, torus, and fat-tree. Our interconnect models are fully integrated with an implementation of message-passing interface (MPI) that can mimic most of its functions with packet-level accuracy. Extensive experiments show that our integrated models provide good accuracy for predicting the network behavior, while at the same time allowing for good parallel scaling performance. In the second part, we present an energy-efficient demand-response model to reduce HPC systems' energy consumption during demand response periods. We propose HPC job scheduling and resource provisioning schemes to enable HPC system's emergency demand response participation. In the final part, we propose an economic demand-response model to allow both HPC operator and HPC users to jointly reduce HPC system's energy cost. Our proposed model allows the participation of HPC systems in economic demand-response programs through a contract-based rewarding scheme that can incentivize HPC users to participate in demand response.
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Soares, João Monteiro. "Integration of the cloud computing paradigm with the opeerator network’s infrastructure." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/14854.
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Doutoramento em Engenharia Informática<br>The proliferation of Internet access allows that users have the possibility to use
services available directly through the Internet, which translates in a change of
the paradigm of using applications and in the way of communicating,
popularizing in this way the so-called cloud computing paradigm. Cloud
computing brings with it requirements at two different levels: at the cloud level,
usually relying in centralized data centers, where information technology and
network resources must be able to guarantee the demand of such services;
and at the access level, i.e., depending on the service being consumed,
different quality of service is required in the access network, which is a Network
Operator (NO) domain. In summary, there is an obvious network dependency.
However, the network has been playing a relatively minor role, mostly as a
provider of (best-effort) connectivity within the cloud and in the access network.
The work developed in this Thesis enables for the effective integration of cloud
and NO domains, allowing the required network support for cloud. We propose
a framework and a set of associated mechanisms for the integrated
management and control of cloud computing and NO domains to provide endto-
end services. Moreover, we elaborate a thorough study on the embedding of
virtual resources in this integrated environment. The study focuses on
maximizing the host of virtual resources on the physical infrastructure through
optimal embedding strategies (considering the initial allocation of resources as
well as adaptations through time), while at the same time minimizing the costs
associated to energy consumption, in single and multiple domains.
Furthermore, we explore how the NO can take advantage of the integrated
environment to host traditional network functions. In this sense, we study how
virtual network Service Functions (SFs) should be modelled and managed in a
cloud environment and enhance the framework accordingly.
A thorough evaluation of the proposed solutions was performed in the scope of
this Thesis, assessing their benefits. We implemented proof of concepts to
prove the added value, feasibility and easy deployment characteristics of the
proposed framework. Furthermore, the embedding strategies evaluation has
been performed through simulation and Integer Linear Programming (ILP)
solving tools, and it showed that it is possible to reduce the physical
infrastructure energy consumption without jeopardizing the virtual resources
acceptance. This fact can be further increased by allowing virtual resource
adaptation through time. However, one should have in mind the costs
associated to adaptation processes. The costs can be minimized, but the virtual
resource acceptance can be also reduced. This tradeoff has also been subject
of the work in this Thesis.<br>A proliferação do acesso à Internet permite aos utilizadores usar serviços
disponibilizados diretamente através da Internet, o que se traduz numa
mudança de paradigma na forma de usar aplicações e na forma de comunicar,
popularizando desta forma o conceito denominado de cloud computing. Cloud
computing traz consigo requisitos a dois níveis: ao nível da própria cloud,
geralmente dependente de centros de dados centralizados, onde as
tecnologias de informação e recursos de rede têm que ser capazes de garantir
as exigências destes serviços; e ao nível do acesso, ou seja, dependendo do
serviço que esteja a ser consumido, são necessários diferentes níveis de
qualidade de serviço na rede de acesso, um domínio do operador de rede. Em
síntese, existe uma clara dependência da cloud na rede. No entanto, o papel
que a rede tem vindo a desempenhar neste âmbito é reduzido, sendo
principalmente um fornecedor de conectividade (best-effort) tanto no dominio
da cloud como no da rede de acesso.
O trabalho desenvolvido nesta Tese permite uma integração efetiva dos
domínios de cloud e operador de rede, dando assim à cloud o efetivo suporte
da rede. Para tal, apresentamos uma plataforma e um conjunto de
mecanismos associados para gestão e controlo integrado de domínios cloud
computing e operador de rede por forma a fornecer serviços fim-a-fim. Além
disso, elaboramos um estudo aprofundado sobre o mapeamento de recursos
virtuais neste ambiente integrado. O estudo centra-se na maximização da
incorporação de recursos virtuais na infraestrutura física por meio de
estratégias de mapeamento ótimas (considerando a alocação inicial de
recursos, bem como adaptações ao longo do tempo), enquanto que se
minimizam os custos associados ao consumo de energia. Este estudo é feito
para cenários de apenas um domínio e para cenários com múltiplos domínios.
Além disso, exploramos como o operador de rede pode aproveitar o referido
ambiente integrado para suportar funções de rede tradicionais. Neste sentido,
estudamos como as funções de rede virtualizadas devem ser modeladas e
geridas num ambiente cloud e estendemos a plataforma de acordo com este
conceito.
No âmbito desta Tese foi feita uma avaliação extensa das soluções propostas,
avaliando os seus benefícios. Implementámos provas de conceito por forma a
demonstrar as mais-valias, viabilidade e fácil implantação das soluções
propostas. Além disso, a avaliação das estratégias de mapeamento foi
realizada através de ferramentas de simulação e de programação linear inteira,
mostrando que é possível reduzir o consumo de energia da infraestrutura
física, sem comprometer a aceitação de recursos virtuais. Este aspeto pode
ser melhorado através da adaptação de recursos virtuais ao longo do tempo.
No entanto, deve-se ter em mente os custos associados aos processos de
adaptação. Os custos podem ser minimizados, mas isso implica uma redução
na aceitação de recursos virtuais. Esta compensação foi também um tema
abordado nesta Tese.
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Wickboldt, Juliano Araújo. "Flexible and integrated resource management for IaaS cloud environments based on programmability." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/131894.
Full textAbstract:
Nuvens de infraestrutura como serviço (IaaS) estão se tornando um ambiente habitual para execução de aplicações modernas da Internet. Muitas plataformas de gerenciamento de nuvem estão disponíveis para aquele que deseja construir uma nuvem de IaaS privada ou pública (e.g., OpenStack, Eucalyptus, OpenNebula). Um aspecto comum do projeto de plataformas atuais diz respeito ao seu modelo de controle caixa-preta. Em geral, as plataformas de gerenciamento de nuvem são distribuídas com um conjunto de estratégias de alocação de recursos embutida em seu núcleo. Dessa forma, os administradores de nuvem têm poucas oportunidades de influenciar a maneira como os recursos são realmente gerenciados (e.g., posicionamento de máquinas virtuais ou seleção caminho de enlaces virtuais). Os administradores poderiam se beneficiar de personalizações em estratégias de gerenciamento de recursos, por exemplo, para atingir os objetivos específicos de cada ambiente ou a fim de permitir a alocação de recursos orientada à aplicação. Além disso, as preocupações acerca do gerenciamento de recursos em nuvens se dividem geralmente em computação, armazenamento e redes. Idealmente, essas três preocupações deveriam ser abordadas no mesmo nível de importância por implementações de plataformas. No entanto, ao contrário do gerenciamento de computação e armazenamento, que têm sido amplamente estudados, o gerenciamento de redes em ambientes de nuvem ainda é bastante incipiente. A falta de flexibilidade e suporte desequilibrado para o gerenciamento de recursos dificulta a adoção de nuvens como um ambiente de execução viável para muitas aplicações modernas da Internet com requisitos rigorosos de elasticidade e qualidade do serviço. Nesta tese, um novo conceito de plataforma de gerenciamento de nuvem é introduzido onde o gerenciamento de recursos flexível é obtido pela adição de programabilidade no núcleo da plataforma. Além disso, uma API simplificada e orientada a objetos é introduzida a fim de permitir que os administradores escrevam e executem programas de gerenciamento de recursos para lidar com todos os tipos de recursos a partir de um único ponto. Uma plataforma é apresentada como uma prova de conceito, incluindo um conjunto de adaptadores para lidar com tecnologias de virtualização e de redes modernas, como redes definidas por software com OpenFlow, Open vSwitches e Libvirt. Dois estudos de caso foram realizados a fim de avaliar a utilização de programas de gerenciamento de recursos para implantação e otimização de aplicações através de uma rede emulada usando contêineres de virtualização Linux e Open vSwitches operando sob o protocolo OpenFlow. Os resultados mostram a viabilidade da abordagem proposta e como os programas de implantação e otimização são capazes de alcançar diferentes objetivos definidos pelo administrador.<br>Infrastructure as a Service (IaaS) clouds are becoming an increasingly common way to deploy modern Internet applications. Many cloud management platforms are available for users that want to build a private or public IaaS cloud (e.g., OpenStack, Eucalyptus, OpenNebula). A common design aspect of current platforms is their black-box-like controlling nature. In general, cloud management platforms ship with one or a set of resource allocation strategies hard-coded into their core. Thus, cloud administrators have few opportunities to influence how resources are actually managed (e.g., virtual machine placement or virtual link path selection). Administrators could benefit from customizations in resource management strategies, for example, to achieve environment specific objectives or to enable application-oriented resource allocation. Furthermore, resource management concerns in clouds are generally divided into computing, storage, and networking. Ideally, these three concerns should be addressed at the same level of importance by platform implementations. However, as opposed to computing and storage management, which have been extensively investigated, network management in cloud environments is rather incipient. The lack of flexibility and unbalanced support for resource management hinders the adoption of clouds as a viable execution environment for many modern Internet applications with strict requirements for elasticity or Quality of Service. In this thesis, a new concept of cloud management platform is introduced where resource management is made flexible by the addition of programmability to the core of the platform. Moreover, a simplified object-oriented API is introduced to enable administrators to write and run resource management programs to handle all kinds of resources from a single point. An implementation is presented as a proof of concept, including a set of drivers to deal with modern virtualization and networking technologies, such as software-defined networking with OpenFlow, Open vSwitches, and Libvirt. Two case studies are conducted to evaluate the use of resource management programs for the deployment and optimization of applications over an emulated network using Linux virtualization containers and Open vSwitches running the OpenFlow protocol. Results show the feasibility of the proposed approach and how deployment and optimization programs are able to achieve different objectives defined by the administrator.
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Ranadive, Adit Uday. "Virtualized resource management in high performance fabric clusters." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54241.
Full textAbstract:
Providing performance and isolation guarantees for applications running in virtualized
datacenter environments requires continuous management of the underlying physical
resources. For communication- and I/O-intensive applications running on such platforms,
the management methods must adequately deal with the shared use of the high-performance
fabrics these applications require. In particular, new classes of latency-sensitive and
data-intensive workloads running in virtualized environments rely on emerging fabrics
like 40+Gbps Ethernet and InfiniBand/RoCE with support for RDMA, VMM-bypass and
hardware-level virtualization (SR-IOV). However, the benefits provided by these technology
advances are offset by several management constraints: (i) the inability of the hypervisor
to monitor the VMs’ usage of these fabrics can affect the platform’s ability to provide
isolation and performance guarantees, (ii) the hypervisor cannot provide fine-grained
I/O provisioning or perform management decisions for VMs, thus reducing the degree of
consolidation that can be supported on the platforms, and (iii) without such support it
is harder to integrate these fabrics into emerging cloud computing platforms and
datacenter fabric management solutions. This is made particularly challenging for
workloads spanning multiple VMs, utilizing physical resources distributed across multiple
server nodes and the interconnection fabric.
This thesis addresses the problem of realizing a flexible, dynamic resource management
system for virtualized platforms with high performance fabrics. We make the following key
contributions:
(i) A lightweight monitoring tool, IBMon, integrated with the hypervisor to monitor VMs’
use of RDMA-enabled virtualized interconnects, using memory introspection techniques.
(ii) The design and construction of a resource management system that leverages IBMon
to provide latency-sensitive applications performance guarantees. This system is built
on microeconomic principles of supply and demand and can be deployed on a per-node
(Resource Exchange) or a multi-node (Distributed Resource Exchange) basis. Fine-grained
resource allocations can be enforced through several mechanisms, including CPU capping
or fabric-level congestion control.
(iii) Sphinx, a fabric management solution that leverages Resource Exchange to orchestrate
network and provide latency proportionality for consolidated workloads, based on
user/application-specified policies.
(iv) Implementation and experimental evaluation using InfiniBand clusters virtualized with
the Xen or KVM hypervisor, managed via the OpenFloodlight SDN controller, and using
representative data-intensive and latency-sensitive benchmarks.
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Adam, Jonathan. "Analyzing Function and Potential in Cuba's El Paquete : A Postcolonial Approach." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229990.
Full textAbstract:
The dire state of Cuban internet connectivity has inspired local informal innovations. One such innovation is El Paquete, a weekly distribution of downloaded content spread through an informal network. Taking a postcolonial approach, I investigate through user experiences how this network operates in a resource-poor environment. This investigation articulates a model of El Paquete centered on social interactions, which inform the system’s function but also shape El Paquete’s design and role in society. Based on this model, a set of speculative design exercises probe possibilities to streamline El Paquete’s compilation, involve consumer preferences in its design directions, or act as a disruption tolerant network. In uncovering the technical possibilities of El Paquete, these designs illuminate how its current design serves Cuban communities by embodying realities and limitations of Cuban society. El Paquete’s embodiment of informal innovation serves as a call to designers to continuously rethink development design processes, centering communities and their knowledge and technical practices.<br>Det kritiska tillståndet för den kubanska internetanslutningen har inspirerat flertalet informella lokala innovationer. Ett exempel på en sådan innovation är El Paquete, vars lösning går ut på distribution av nedladdat innehåll som sprids veckovis genom ett informellt nätverk. Jag har undersökt hur detta nätverk fungerar i en resursfattig miljö genom att undersöka användarupplevelser ur ett postkolonialt perspektiv. I denna undersökning framförs en modell av El Paquete som inriktas på sociala interaktioner, vilket utgör systemets funktioner men som också formar El Paquete’s design och samhällsroll. Baserat på denna modell undersöks möjligheterna till att effektivisera El Paquete’s sammanställning, genom ett antal olika spekulativa designövningar som inkluderar konsumentpreferenser i designinriktning, eller som ett avbrottstolerant nätverk. Dessa designer belyser hur dagens tekniska möjligheter med El Paquete är till nytta för kubanska samhällen genom förkroppsligandet av deras verklighet och begränsningar. El Paquete’s förkroppsligande av informell innovation fungerar som en uppmaning till designers att kontinuerligt ompröva utvecklingen av designprocesser som fokuserar på samhällets kunskap och tekniska praxis.
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Peres, Martin. "A holistic approach to green networking in wireless networks : collaboration among autonomic systems as a mean towards efficient resource-sharing." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0433/document.
Full textAbstract:
Les vingt dernières années ont vu l’émergence de systèmes sans fil dans la vie de tous les jours. Ils ont rendu possible la création de technologies telles que les téléphones portables, le WiFi ou l’internet mobile qui sont maintenant tenus pour acquis dans la société actuelle. L’impact environnemental des technologies de l’information et des communications connaît une croissance exponentielle et a atteint l’impact de l’industrie du transport aérien. L’initiative d’informatique verte a été lancée en réponse à cette observation pour réduire de 15 à 30% les émissions de gaz à effet de serre en 2020 comparé aux prédictions faites en 2002 afin de garder le réchauffement climatique inférieur à 2°C. Dans cette thèse, nous avons étudié des techniques d’économie d’énergie dans les réseaux sans fil et comment elles interagissent entre elles afin de donner une vue holistique des réseaux verts. Nous prenons également en compte l’usage du spectre radio fréquence qui est le moyen le plus utilisé pour les communications entre systèmes sans fil et qui devient une ressource rare à cause du besoin grandissant de notre société pour de la bande passante en mobilité. Cette thèse suit les couches réseaux avant de remonter les piles matérielleset logicielles. Des contributions ont été apportées à la plupart des couches afin de proposer un réseau sans fil autonome où les noeuds peuvent collaborer pour améliorer les performances du réseau, réduire de façon globale l’utilisation du spectre radio tout en limitant la consommation énergétique du réseau<br>The last twenty years saw the emergence of wireless systems in everyday’s life. They made possible technologies such as mobile phones, WiFi or mobile Internet which are now taken for granted in today’s society. The environmental impact of Information and Communications Technology (ICT) has been raising exponentially to equate the impact of the airline industry. The green computing initiative has been created in response to this observation in order to meet the 15%-30% reduction in green-house gases by 2020 compared to estimations made in 2002 to keep the global temperature increasebelow 2°C. In this thesis, we studied power-saving techniques in wireless networks and how they interact with each others to provide a holistic view of green networking. We also take into account the radio frequency resource which is the most commonly usedcommunication medium for wireless systems and is becoming a scarce resource due to our society’s ever-increasing need for mobile bandwidth. This thesis goes down the network stacks before going up the hardware and software stack. Contributions have been madeat most layers in order to propose an autonomic wireless network where nodes can work collaboratively to improve the network’s performance, globally reduce the radio frequency spectrum usage while also increasing their battery life
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Amarasinghe, Heli. "Network Resource Management in Infrastructure-as-a-Service Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39141.
Full textAbstract:
Cloud Infrastructure-as-a-Service (IaaS) is a form of utility computing which has emerged with the recent innovations in the service computing and data communication technologies. Regardless of the fact that IaaS is attractive for application service providers, satisfying user requests while ensuring cloud operational objectives is a complicated task that raises several resource management challenges. Among these challenges, limited controllability over network services delivered to cloud consumers is prominent in single datacenter cloud environments. In addition, the lack of seamless service migration and optimization, poor infrastructure utilization, and unavailability of efficient fault tolerant techniques are noteworthy challenges in geographically distributed datacenter clouds.
Initially in this thesis, a datacenter resource management framework is presented to address the challenge of limited controllability over cloud network traffic. The proposed framework integrates network virtualization functionalities offered by software defined networking (SDN) into cloud ecosystem. To provide rich traffic control features to IaaS consumers, control plane virtualization capabilities offered by SDN have been employed. Secondly, a quality of service (QoS) aware seamless service migration and optimization framework has been proposed in the context of geo-distributed datacenters. Focus has been given to a mobile end-user scenario where frequent cloud service migrations are required to mitigate QoS violations. Finally, an SDN-based dynamic fault restoration scheme and a shared backup-based fault protection scheme have been proposed. The fault restoration has been achieved by introducing QoS-aware reactive and shared risk link group-aware proactive path computation algorithms. Shared backup protection has been achieved by optimizing virtual and backup link embedding through a novel integer linear programming approach. The proposed solutions significantly improve bandwidth utilization in inter-datacenter networks while recovering from substrate link failures.
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Mechtri, Marouen. "Virtual networked infrastructure provisioning in distributed cloud environments." Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0028/document.
Full textAbstract:
L'informatique en nuage (Cloud Computing) a émergé comme un nouveau paradigme pour offrir des ressources informatiques à la demande et pour externaliser des infrastructures logicielles et matérielles. Le Cloud Computing est rapidement et fondamentalement en train de révolutionner la façon dont les services informatiques sont mis à disposition et gérés. Ces services peuvent être demandés à partir d’un ou plusieurs fournisseurs de Cloud d’où le besoin de la mise en réseau entre les composants des services informatiques distribués dans des emplacements géographiquement répartis. Les utilisateurs du Cloud veulent aussi déployer et instancier facilement leurs ressources entre les différentes plateformes hétérogènes de Cloud Computing. Les fournisseurs de Cloud assurent la mise à disposition des ressources de calcul sous forme des machines virtuelles à leurs utilisateurs. Par contre, ces clients veulent aussi la mise en réseau entre leurs ressources virtuelles. En plus, ils veulent non seulement contrôler et gérer leurs applications, mais aussi contrôler la connectivité réseau et déployer des fonctions et des services de réseaux complexes dans leurs infrastructures virtuelles dédiées. Les besoins des utilisateurs avaient évolué au-delà d'avoir une simple machine virtuelle à l'acquisition de ressources et de services virtuels complexes, flexibles, élastiques et intelligents. L'objectif de cette thèse est de permettre le placement et l’instanciation des ressources complexes dans des infrastructures de Cloud distribués tout en permettant aux utilisateurs le contrôle et la gestion de leurs ressources. En plus, notre objectif est d'assurer la convergence entre les services de cloud et de réseau. Pour atteindre cela, nous proposons des algorithmes de mapping d’infrastructures virtuelles dans les centres de données et dans le réseau tout en respectant les exigences des utilisateurs. Avec l'apparition du Cloud Computing, les réseaux traditionnels sont étendus et renforcés avec des réseaux logiciels reposant sur la virtualisation des ressources et des fonctions réseaux. En plus, le nouveau paradigme d'architecture réseau (Software Defined Networks) est particulièrement pertinent car il vise à offrir la programmation du réseau et à découpler, dans un équipement réseau, la partie plan de données de la partie plan de contrôle. Dans ce contexte, la première partie propose des algorithmes optimaux (exacts) et heuristiques de placement pour trouver le meilleur mapping entre les demandes des utilisateurs et les infrastructures sous-jacentes, tout en respectant les exigences exprimées dans les demandes. Cela inclut des contraintes de localisation permettant de placer une partie des ressources virtuelles dans le même nœud physique. Ces contraintes assurent aussi le placement des ressources dans des nœuds distincts. Les algorithmes proposés assurent le placement simultané des nœuds et des liens virtuels sur l’infrastructure physique. Nous avons proposé aussi un algorithme heuristique afin d’accélérer le temps de résolution et de réduire la complexité du problème. L'approche proposée se base sur la technique de décomposition des graphes et la technique de couplage des graphes bipartis. Dans la troisième partie, nous proposons un cadriciel open source (framework) permettant d’assurer la mise en réseau dynamique entre des ressources Cloud distribués et l’instanciation des fonctions réseau dans l’infrastructure virtuelle de l’utilisateur. Ce cadriciel permettra de déployer et d’activer les composants réseaux afin de mettre en place les demandes des utilisateurs. Cette solution se base sur un gestionnaire des ressources réseaux "Cloud Network Gateway Manager" et des passerelles logicielles permettant d’établir la connectivité dynamique et à la demande entre des ressources cloud et réseau. Le CNG-Manager offre le contrôle de la partie réseau et prend en charge le déploiement des fonctions réseau nécessaires dans l'infrastructure virtuelle des utilisateurs<br>Cloud computing emerged as a new paradigm for on-demand provisioning of IT resources and for infrastructure externalization and is rapidly and fundamentally revolutionizing the way IT is delivered and managed. The resulting incremental Cloud adoption is fostering to some extent cloud providers cooperation and increasing the needs of tenants and the complexity of their demands. Tenants need to network their distributed and geographically spread cloud resources and services. They also want to easily accomplish their deployments and instantiations across heterogeneous cloud platforms. Traditional cloud providers focus on compute resources provisioning and offer mostly virtual machines to tenants and cloud services consumers who actually expect full-fledged (complete) networking of their virtual and dedicated resources. They not only want to control and manage their applications but also control connectivity to easily deploy complex network functions and services in their dedicated virtual infrastructures. The needs of users are thus growing beyond the simple provisioning of virtual machines to the acquisition of complex, flexible, elastic and intelligent virtual resources and services. The goal of this thesis is to enable the provisioning and instantiation of this type of more complex resources while empowering tenants with control and management capabilities and to enable the convergence of cloud and network services. To reach these goals, the thesis proposes mapping algorithms for optimized in-data center and in-network resources hosting according to the tenants' virtual infrastructures requests. In parallel to the apparition of cloud services, traditional networks are being extended and enhanced with software networks relying on the virtualization of network resources and functions especially through network resources and functions virtualization. Software Defined Networks are especially relevant as they decouple network control and data forwarding and provide the needed network programmability and system and network management capabilities. In such a context, the first part proposes optimal (exact) and heuristic placement algorithms to find the best mapping between the tenants' requests and the hosting infrastructures while respecting the objectives expressed in the demands. This includes localization constraints to place some of the virtual resources and services in the same host and to distribute other resources in distinct hosts. The proposed algorithms achieve simultaneous node (host) and link (connection) mappings. A heuristic algorithm is proposed to address the poor scalability and high complexity of the exact solution(s). The heuristic scales much better and is several orders of magnitude more efficient in terms of convergence time towards near optimal and optimal solutions. This is achieved by reducing complexity of the mapping process using topological patterns to map virtual graph requests to physical graphs representing respectively the tenants' requests and the providers' physical infrastructures. The proposed approach relies on graph decomposition into topology patterns and bipartite graphs matching techniques. The third part propose an open source Cloud Networking framework to achieve cloud and network resources provisioning and instantiation in order to respectively host and activate the tenants' virtual resources and services. This framework enables and facilitates dynamic networking of distributed cloud services and applications. This solution relies on a Cloud Network Gateway Manager and gateways to establish dynamic connectivity between cloud and network resources. The CNG-Manager provides the application networking control and supports the deployment of the needed underlying network functions in the tenant desired infrastructure (or slice since the physical infrastructure is shared by multiple tenants with each tenant receiving a dedicated and isolated portion/share of the physical resources)
Books on the topic "Networking and computing resources"
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1966-, Xiao Yang, and Chen Hui 1972-, eds. Mobile telemedicine: A computing and networking perspective. CRC Press, 2008.
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Carswell, Ron. Guide to Microsoft Virtual PC 2007 and Virtual server 2005. Course Technology, 2009.
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Kay, Unkroth, ed. Microsoft Exchange server 2003 resource kit. Microsoft Press, 2005.
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Zhang, Yan. Autonomic Computing and Networking. Springer Science+Business Media, LLC, 2009.
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Balas, Valentina Emilia, Vijay Bhaskar Semwal, and Anand Khandare, eds. Intelligent Computing and Networking. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4863-2.
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Balas, Valentina Emilia, Vijay Bhaskar Semwal, Anand Khandare, and Megharani Patil, eds. Intelligent Computing and Networking. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7421-4.
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Garg, Vijay, Roger Wattenhofer, and Kishore Kothapalli, eds. Distributed Computing and Networking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92295-7.
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Lu, Xicheng, and Wei Zhao, eds. Networking and Mobile Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310.
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Obaidat, Mohammad S., Mieso Denko, and Isaac Woungang, eds. Pervasive Computing and Networking. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119970422.
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Zhang, Yan, Laurence Tianruo Yang, and Mieso K. Denko, eds. Autonomic Computing and Networking. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89828-5.
Full textBook chapters on the topic "Networking and computing resources"
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Koski, Kimmo. "Building a parallel computing environment from heterogenous resources." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57981-8_103.
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Newhouse, Steven, and John Darlington. "Computational Communities: A Marketplace for Federated Resources." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48228-8_76.
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Chaumette, Serge, and Asier Ugarte. "A Distributed Platform with Features for Supporting Dynamic and Mobile Resources." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48228-8_69.
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Jeong, Hwa-Young, and Bong-Hwa Hong. "A Management of Resource Ontology for Cloud Computing." In Communication and Networking. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27201-1_8.
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Yang, Dongju, Chongbin Deng, and Zhuofeng Zhao. "Dynamic Scheduling Method of Virtual Resources Based on the Prediction Model." In Collaborate Computing: Networking, Applications and Worksharing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59288-6_35.
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Reddy, Sai Rahul P., and Arobinda Gupta. "Auction Based Resource Allocation in Grids." In Distributed Computing and Networking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11947950_17.
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Macedo, Daniel E., Marcus M. Bezerra, Danilo F. S. Santos, and Angelo Perkusich. "Orchestrating Fog Computing Resources Based on the Multi-dimensional Multiple Knapsacks Problem." In Advanced Information Networking and Applications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28451-9_28.
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Watanabe, Ryu, Ayumu Kubota, and Jun Kurihara. "Resource Authorization Methods for Edge Computing." In Advanced Information Networking and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99584-3_15.
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Rasheedi, Lubna, Natasha Chatterjee, and Shrisha Rao. "Fair Resource Allocation in Distributed Combinatorial Auctioning Systems." In Distributed Computing and Networking. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92295-7_27.
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Tasneem, Rayeesa, and M. A. Jabbar. "An Insight into Load Balancing in Cloud Computing." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_113.
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AbstractCloud Computing has emerged as a High-performance computing model providing on-demand computing resources as services via the Internet. Services include applications, storage, processing power, allocation of resources and many more. It is a pay-per-use model. Despite of providing various services, it is also experiencing numerous challenges like data security, optimized resource utilization, performance management, cost management, Cloud migration and many more. Among all, Load Balancing is another key challenge faced by Cloud. Effective load balancing mechanism will optimize the utilization of resources and improve the cloud performance. Load balancing is a mechanism to identify the overloaded and under loaded nodes and then balance the load by uniformly distributing the workload among the nodes. Various load balancing mechanisms are proposed by various researchers by taking different performance metrics. However existing load balancing algorithms are suffering from various drawbacks. This paper emphasizes the comparative review of various algorithms on Load Balancing along with their advantages, shortcomings and mathematical models.
Conference papers on the topic "Networking and computing resources"
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Devineni, Sreenath, Bhargavi Gorantla, Intiaz Shaik, and V. Anand Kumar. "Optimizing Cloud Resources using Algorithmic Approaches in Serverless Computing." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724923.
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Mikram, Hind, and Said El Kafhali. "AI-Driven Autonomous Systems for Optimal Management of Fog Computing Resources." In 2024 7th International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2024. https://doi.org/10.1109/commnet63022.2024.10793299.
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Xiao, Ke, Jiaxin Wang, Chaofei Li, Zhenwei Yu, and Feifei Gao. "Private Edge Computing Resource Allocation and Communication Optimization Based on Federated Learning." In 2024 IFIP Networking Conference (IFIP Networking). IEEE, 2024. http://dx.doi.org/10.23919/ifipnetworking62109.2024.10619751.
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John, V. Y., Arvind Kumar Pandey, and Harshita Kaushik. "Accurately Allocating Resources to Support Strategic Decision Making in MNCs Using Algorithmic Solutions." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724962.
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Tuli, Sandeep, Vivek Kumar Verma, and Pratistha Mathur. "Comprehensive Analysis of Mental Health Insights from Social Media: Taxonomies, Computational Methods, and Resources." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725293.
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Ali, Zahra, Raihan Ur Rasool, and Peter Bloodsworth. "Social Networking for Sharing Cloud Resources." In 2012 International Conference on Cloud and Green Computing (CGC). IEEE, 2012. http://dx.doi.org/10.1109/cgc.2012.37.
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ByungRae Cha and Jongwon Kim. "Security tactics for secured cloud computing resources." In 2013 International Conference on Information Networking (ICOIN). IEEE, 2013. http://dx.doi.org/10.1109/icoin.2013.6496425.
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Wailly, Aurelien, Marc Lacoste, and Herve Debar. "Towards Multi-Layer Autonomic Isolation of Cloud Computing and Networking Resources." In 2011 Conference on Network and Information Systems Security (SAR-SSI). IEEE, 2011. http://dx.doi.org/10.1109/sar-ssi.2011.5931358.
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Jin, Sunghyun, Serae Kim, and Kyunghan Lee. "Co-Scheduling of Radio and Computing Resources for Resource-Efficient Latency Guarantee in 6G." In 2023 IEEE 12th International Conference on Cloud Networking (CloudNet). IEEE, 2023. http://dx.doi.org/10.1109/cloudnet59005.2023.10490036.
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Xing, Tao, Helei Cui, Yaxing Chen, et al. "Harnessing Edge Computing Resources for Accelerating Industrial Tasks." In 2023 19th International Conference on Mobility, Sensing and Networking (MSN). IEEE, 2023. http://dx.doi.org/10.1109/msn60784.2023.00096.
Full textReports on the topic "Networking and computing resources"
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Feingold, R. Recommendations for protecting National Library of Medicine Computing and Networking Resources. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/61693.
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Mills, Kevin L. Networking for pervasive computing. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.sp.500-259.
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