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Relevant bibliographies by topics / Virtualised Infrastructure Manager

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Academic literature on the topic 'Virtualised Infrastructure Manager'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Virtualised Infrastructure Manager"

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Chirivella-Perez, Enrique, Pablo Salva-Garcia, Ignacio Sanchez-Navarro, Jose M. Alcaraz-Calero, and Qi Wang. "E2E Network Slice Management Framework for 5G Multi-tenant Networks." Journal of Communications and Networks 25, no. 3 (2023): 392–404. https://doi.org/10.23919/JCN.2023.000019.

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Network slicing is one of the cornerstone features of the Fifth Generation (5G) networks to enable the multiplexing of virtualised logical networks over the same physical network infrastructure for various vertical business services. Architectures based on network slicing enable network operators to offer End-to-End(E2E) vertical services whilst assuring fulfilling tailored Service Level Agreement (SLA) requirements. Despite the numerous benefits that this concept offers, the need for efficient, scalable and holistic E2E management of network slicing significantly complicates network operators

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Rodríguez-Haro, Fernando, Felix Freitag, and Leandro Navarro. "A QoS App-SLO Manager for Virtualized Infrastructure." Polibits 46 (December 31, 2012): 83–91. http://dx.doi.org/10.17562/pb-46-10.

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Grispos, George, Tim Storer, and William Bradley Glisson. "Calm Before the Storm." International Journal of Digital Crime and Forensics 4, no. 2 (2012): 28–48. http://dx.doi.org/10.4018/jdcf.2012040103.

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Cloud computing is a rapidly evolving information technology (IT) phenomenon. Rather than procure, deploy, and manage a physical IT infrastructure to host their software applications, organizations are increasingly deploying their infrastructure into remote, virtualized environments, often hosted and managed by third parties. This development has significant implications for digital forensic investigators, equipment vendors, law enforcement, as well as corporate compliance and audit departments, amongst other organizations. Much of digital forensic practice assumes careful control and manageme

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Yu, Geoffrey X., Ziniu Wu, Ferdi Kossmann, et al. "Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD." Proceedings of the VLDB Endowment 17, no. 11 (2024): 3629–43. http://dx.doi.org/10.14778/3681954.3682026.

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Modern organizations manage their data with a wide variety of specialized cloud database engines (e.g., Aurora, BigQuery, etc.). However, designing and managing such infrastructures is hard. Developers must consider many possible designs with non-obvious performance consequences; moreover, current software abstractions tightly couple applications to specific systems (e.g., with engine-specific clients), making it difficult to change after initial deployment. A better solution would virtualize cloud data management, allowing developers to declaratively specify their workload requirements and re

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Mayoral, Arturo, Raül Muñoz, Ricard Vilalta, Ramon Casellas, Ricardo Martínez, and Víctor López. "Need for a Transport API in 5G for Global Orchestration of Cloud and Networks Through a Virtualized Infrastructure Manager and Planner." Journal of Optical Communications and Networking 9, no. 1 (2017): A55—A62. https://doi.org/10.1364/JOCN.9.000A55.

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The new 5G paradigm seeks for a scalable architecture that is able to efficiently manage the increasing volume of traffic generated by smart devices to be processed in a distributed cloud infrastructure. To this end, coordinated management of the network and the cloud resources forming an end-to-end system is of great importance. Software defined networking and network function virtualization architectures are the key enablers for integrating network and cloud resources, enabling cross optimization on both sides. This optimization requires efficient resource allocation algorithms, which take i

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Kyriazis, Dimosthenis. "Protection of Service-Oriented Environments Serving Critical Infrastructures." Inventions 3, no. 3 (2018): 62. http://dx.doi.org/10.3390/inventions3030062.

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The emergence of service-oriented architectures has driven the shift towards a service-oriented paradigm, which has been adopted in several application domains. The advent of cloud computing facilities and recently of edge computing environments has increased the aforementioned paradigm shift towards service provisioning. In this context, various “traditional” critical infrastructure components have turned to services, being deployed and managed on top of cloud and edge computing infrastructures. However, the latter poses a specific challenge: the services of the critical infrastructures withi

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Finster, Sören, Abdallah Dawoud, Florian Kohnhäuser, and Abdulkadir Karaagac. "Secure bootstrapping for next-gen industrial automation systems." at - Automatisierungstechnik 71, no. 9 (2023): 748–58. http://dx.doi.org/10.1515/auto-2023-0074.

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Abstract The digitalization of industry and the convergence of IT and OT bring about the next generation of industrial automation systems which are expected to work with an orchestration of physical and virtualized components using a single converged network. The increase of complexity in such systems must be managed by an increase in automation for orchestration and management. However, bootstrapping such a complex system from out-of-the-box components is still a manual and error-prone process. We present a bootstrapping concept that brings up a system from out-of-the-box components to an ope

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Arulappan, Arunkumar, Gunasekaran Raja, Kalpdrum Passi, and Aniket Mahanti. "Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System." Symmetry 14, no. 5 (2022): 978. http://dx.doi.org/10.3390/sym14050978.

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Network Function Virtualization (NFV) is an enabling technology that brings together automated network service management and corresponding virtualized network functions that use an NFV Infrastructure (NFVI) framework. The Virtual Network Function Manager (VNFM) placement in a large-scale distributed NFV deployment is therefore a challenging task due to the potential negative impact on performance and operating expense cost. The VNFM assigns Virtual Network Functions (VNFs) and operates efficiently based on network demands with resilient performance through efficient placement techniques. The

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DEETI, VINAY KUMAR. "A Full-Stack Cloud Computing Infrastructure For Machine Learning Tasks." INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT 6, no. 7 (2021): 37–45. https://doi.org/10.5281/zenodo.15128036.

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Since ML applications underwent rapid expansion the development of scalable efficient and cost-effective cloud computing infrastructure became necessary. A complete cloud infrastructure for ML applications connects optimal frameworks to virtualized resources including computer storage systems and networking components to manage entire ML pipeline processes. The study analyzes a detailed cloud architecture that unites IaaS, PaaS and SaaS to deliver smooth development of models while enabling training and deployment management and monitoring purposes. A performance and cost efficiency analysis c

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de, la Oliva Antonio, Xi Li, Pérez Xavier Costa, et al. "5G-TRANSFORMER: Slicing and Orchestrating Transport Networks for Industry Verticals." IEEE Communications Magazine 56, no. 8 (2018): 78–84. https://doi.org/10.1109/MCOM.2018.1700990.

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This article dives into the design of the next generation mobile transport networks to simultaneously support the needs of various vertical industries with diverse range of networking and computing requirements. Network slicing has emerged as the most promising approach to address this challenge by enabling per-slice management of virtualized resources. We aim to bring the network slicing paradigm into mobile transport networks by provisioning and managing slices tailored to the needs of different vertical industries. Our technical approach is twofold: (i) enabling vertical industries to meet

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Book chapters on the topic "Virtualised Infrastructure Manager"

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Quesnel, Flavien. "Virtual Infrastructure Managers Used in Production." In Scheduling of Large-Scale Virtualized Infrastructures. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118790335.ch3.

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Quesnel, Flavien. "Comparative Study Between Virtual Infrastructure Managers and Distributed Operating Systems." In Scheduling of Large-Scale Virtualized Infrastructures. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118790335.ch4.

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Di, M., M. Longo, F. Postiglione, R. Restaino, and M. Tambasco. "Availability evaluation of the virtualized infrastructure manager in network function virtualization environments." In Risk, Reliability and Safety: Innovating Theory and Practice. CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-393.

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Koslovski, Guilherme, Tram Truong Huu, Johan Montagnat, and Pascale Vicat-Blanc Primet. "Executing Distributed Applications on Virtualized Infrastructures Specified with the VXDL Language and Managed by the HIPerNET Framework." In Cloud Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12636-9_1.

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Lee, Young, and Daniele Ceccarelli. "Abstraction and Control of Transport Networks." In Handbook of Research on Redesigning the Future of Internet Architectures. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8371-6.ch015.

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Virtual network operation refers to the creation of a virtualized environment allowing operators to view the abstraction of the underlying multi-admin, multi-vendor, multi-technology networks and to operate, control and manage these multiple networks as a single virtualized network. Another dimension of virtual network operation is associated with the use of the common core transport network resources by multi-tenant service networks as a way of providing a virtualized infrastructure to flexibly offer new services and applications. The work effort investigating this problem space is known as A

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Ramanathan, Raja. "Extending Service-Driven Architectural Approaches to the Cloud." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4193-8.ch013.

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Today, most enterprises own their IT infrastructures. In the future, it may well be more cost effective to use infrastructure and software provided by entities that are specialized in provisioning infrastructure and services on a need and usage basis. This is the Cloud Computing model. The Cloud enables ubiquitous, elastic, and on-demand network access, which can be rapidly self-provisioned. Information Technology is beginning to migrate to the Cloud, where dynamically scalable, virtualized resources, are provided as a service over the network. Currently, IT leaders focus on managing on-premis

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Opala, Omondi John, Shawon S. M. Rahman, and Abdulhameed A. Alelaiwi. "Enterprise Cloud Adoption." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6178-3.ch022.

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Cloud computing is synonymous with outsourced data center management and agile solution architecture that improves the scalability for delivery of services for enterprises. It has the capability to revolutionize how data is delivered from commodity to Information Technology as a service. At its core, Cloud computing is a new approach to distributed computing and shared pooling of IT infrastructure linked together to offer centralized IT services on demand. Companies that provide Cloud computing services manage multiple virtualized computation systems that allow for dynamic on-demand provisioni

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Opala, Omondi John, Shawon S. M. Rahman, and Abdulhameed A. Alelaiwi. "Enterprise Cloud Adoption." In Web-Based Services. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9466-8.ch057.

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Cloud computing is synonymous with outsourced data center management and agile solution architecture that improves the scalability for delivery of services for enterprises. It has the capability to revolutionize how data is delivered from commodity to Information Technology as a service. At its core, Cloud computing is a new approach to distributed computing and shared pooling of IT infrastructure linked together to offer centralized IT services on demand. Companies that provide Cloud computing services manage multiple virtualized computation systems that allow for dynamic on-demand provisioni

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Proença, Jorge, Tiago Cruz, Paulo Simões, and Edmundo Monteiro. "Revisiting the Concept of Virtualized Residential Gateways." In Design Innovation and Network Architecture for the Future Internet. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7646-5.ch010.

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A diversity of technical advances in the field of network and systems virtualization have made it possible to consolidate and manage resources in an unprecedented scale. These advances have started to come out of the data centers, spreading towards the network service provider (NSP) and telecommunications operator infrastructure foundations, from the core to the edge networks, the access network, and the customer premises LAN (local area network). In this context, the residential gateway (RGW) constitutes an ideal candidate for virtualization, as it stands between the home LAN and the access n

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Llorente Ignacio M., Moreno-Vozmediano Rafael, and Montero Rubén S. "Cloud Computing for on-Demand Grid Resource Provisioning." In Advances in Parallel Computing. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-073-5-177.

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The use of virtualization, along with an efficient virtual machine management, creates a new virtualization layer that isolates the service workload from the resource management. The integration of the cloud within the virtualization layer, can be used to support on-demand resource provisioning, providing elasticity in modern Internet-based services and applications, and allowing to adapt dynamically the service capacity to variable user demands. Cluster and grid computing environments are two examples of services which can obtain a great benefit from these technologies. Virtualization can be

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Conference papers on the topic "Virtualised Infrastructure Manager"

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Sechkova, Teodora, Michele Paolino, and Daniel Raho. "Virtualized Infrastructure Managers for Edge Computing: OpenVIM and OpenStack Comparison." In 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2018. http://dx.doi.org/10.1109/bmsb.2018.8436858.

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Sechkova, Teodora, Enrico Barberis, and Michele Paolino. "Cloud & Edge Trusted Virtualized Infrastructure Manager (VIM) - Security and Trust in OpenStack." In 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW). IEEE, 2019. http://dx.doi.org/10.1109/wcncw.2019.8902624.

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Freitas, Leandro A., Vinicius G. Braga, Sand L. Correa, et al. "Slicing and Allocation of Transformable Resources for the Deployment of Multiple Virtualized Infrastructure Managers (VIMs)." In 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft). IEEE, 2018. http://dx.doi.org/10.1109/netsoft.2018.8459990.

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Medina, Jaymie Rae, and Jennalyn Mindoro. "On-premise File Server Vs Cloud Storage with Incident Management: A Comparative Study." In 13th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132221.

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Many organizations are already shifting their infrastructure and applications to the cloud. Cloud technology is accessing and availing products and services over the internet. The maintenance of cloud technology is often managed by a cloud service provider. A comparison has been made between an existing technology, on-premise file servers, and virtualized file servers in the form of cloud storage to determine the advantages and disadvantages of each filesharing system’s performance. An architectural framework and a simulation of the new cloud storage architecture have been conducted to serve a

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Verma, Alakh K., and Dipendra K. Sinha. "Recent Developments in Cloud Computing, Data Storage and Handling." In ASME 2013 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/isps2013-2815.

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As data center managers consider deployment of a Cloud Computing environment the most important issues they consider include critical application data availability, storage agility and data protection strategies. Early adopters of Cloud Computing have already deployed Virtualization as a key technology in their Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offerings. Cloud computing extends the benefits of virtualization by increasing the efficiency of server and storage utilization, reducing costs, improving operational efficiency and optimizing datacenter rack and floor

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