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Готові списки джерел за темами / Dynamic Capacity Provisioning / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Dynamic Capacity Provisioning.

Статті в журналах з теми "Dynamic Capacity Provisioning"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Ramamurthy, R., Z. Bogdanowicz, S. Samieian, et al. "Capacity performance of dynamic provisioning in optical networks." Journal of Lightwave Technology 19, no. 1 (2001): 40–48. http://dx.doi.org/10.1109/50.914483.

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2

M., G. Saravanan, and Natarajan M. "FUZZY ALGORITHM USING VIRTUAL MACHINES SCHEDULING IN DISTRIBUTER SYSTEM AUTOMATIC OVERLOADED IN DISTRIBUTE DATABASE." International Journal of Engineering Research and Modern Education 3, no. 2 (2018): 4–7. https://doi.org/10.5281/zenodo.1402725.

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In present day virtualization based register mists, applications share the hidden equipment by running in disconnected Virtual Machines (VMs). Each VM, amid its underlying creation, is arranged with a specific measure of processing assets, (for example, CPU, memory and I/O). A key factor for accomplishing economies of scale in a register cloud is asset provisioning, which alludes to apportioning assets to VMs to coordinate their workload. Commonly, effective provisioning is accomplished by two operations: (1) static asset provisioning. VMs are made with indicated size and after that united ont

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3

Pham-Nguyen, Hoang-Nam, and Quang Tran-Minh. "Dynamic Resource Provisioning on Fog Landscapes." Security and Communication Networks 2019 (May 2, 2019): 1–15. http://dx.doi.org/10.1155/2019/1798391.

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A huge amount of smart devices which have capacity of computing, storage, and communication to each other brings forth fog computing paradigm. Fog computing is a model in which the system tries to push data processing from cloud servers to “near” IoT devices in order to reduce latency time. The execution orderings and the deployed places of services make significant effect on the overall response time of an application. Beside new research directions in fog computing, e.g., fog-cloud collaboration, service scalability, fog scalability, mobile fog computing, fog federation, trade-off between en

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4

Sood, Sandeep K. "A Value Based Dynamic Resource Provisioning Model in Cloud." International Journal of Cloud Applications and Computing 3, no. 1 (2013): 1–12. http://dx.doi.org/10.4018/ijcac.2013010101.

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Cloud computing has become an innovative computing paradigm, which aims at providing reliable, customized, Quality of Service (QoS) and guaranteed computing infrastructures for users. Efficient resource provisioning is required in cloud for effective resource utilization. For resource provisioning, cloud provides virtualized computing resources that are dynamically scalable. This property of cloud differentiates it from the traditional computing paradigm. But the initialization of a new virtual instance causes a several minutes delay in the hardware resource allocation. Furthermore, cloud prov

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5

Sood, Sandeep K. "A Value Based Dynamic Resource Provisioning Model in Cloud." International Journal of Cloud Applications and Computing 3, no. 2 (2013): 35–46. http://dx.doi.org/10.4018/ijcac.2013040104.

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Анотація:

Cloud computing has become an innovative computing paradigm, which aims at providing reliable, customized, Quality of Service (QoS) and guaranteed computing infrastructures for users. Efficient resource provisioning is required in cloud for effective resource utilization. For resource provisioning, cloud provides virtualized computing resources that are dynamically scalable. This property of cloud differentiates it from the traditional computing paradigm. But the initialization of a new virtual instance causes a several minutes delay in the hardware resource allocation. Furthermore, cloud prov

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6

Jeyarani, R., N. Nagaveni, and R. Vasanth Ram. "Self Adaptive Particle Swarm Optimization for Efficient Virtual Machine Provisioning in Cloud." International Journal of Intelligent Information Technologies 7, no. 2 (2011): 25–44. http://dx.doi.org/10.4018/jiit.2011040102.

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Cloud Computing provides dynamic leasing of server capabilities as a scalable, virtualized service to end users. The discussed work focuses on Infrastructure as a Service (IaaS) model where custom Virtual Machines (VM) are launched in appropriate servers available in a data-center. The context of the environment is a large scale, heterogeneous and dynamic resource pool. Nonlinear variation in the availability of processing elements, memory size, storage capacity, and bandwidth causes resource dynamics apart from the sporadic nature of workload. The major challenge is to map a set of VM instanc

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7

M., Rakesh Chowdary, Yashwanth Reddy A., and Abhishek N. "RESOURCE MANAGEMENT IN DEALING WITH SECURITY CHALLENGES IN CLOUD BASED ENVIRONMENT." International Journal of Applied and Advanced Scientific Research 1, no. 2 (2016): 152–55. https://doi.org/10.5281/zenodo.1034457.

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Cloud Service Brokers includes technology consultants, business professional service organizations, registered brokers and agents, and influencers that help guide consumers in the selection of cloud computing solutions. Service brokers concentrate on the negotiation of the relationships between consumers and providers without owning or managing the whole Cloud infrastructure. Moreover, they add extra services on top of a Cloud provider’s infrastructure to make up the user’s Cloud environment.With the emergence of many new data centers around the globe; energy consumption by those data centers

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8

Goswami, Veena, S. S. Patra, and G. B. Mund. "Dynamic Provisioning and Resource Management for Multi-Tier Cloud Based Applications." Foundations of Computing and Decision Sciences 38, no. 3 (2013): 175–91. http://dx.doi.org/10.2478/fcds-2013-0008.

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Abstract Dynamic capacity provisioning is a useful technique for handling the workload variations seen in cloud environment. In this paper, we propose a dynamic provisioning technique for multi-tier applications to allocate resources efficiently using queueing model. It dynamically increases the mean service rate of the virtual machines to avoid congestion in the multi-tier environments. An optimization model to minimize the total number of virtual machines for computing resources in each tier has been presented. Using the supplementary variable and the recursive techniques, we obtain the syst

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9

Guerin, Roch, Kartik Hosanagar, Xinxin Li, and Soumya Sen. "Shared or Dedicated Infrastructures: On the Impact of Reprovisioning Ability." MIS Quarterly 43, no. 4 (2019): 1059–79. http://dx.doi.org/10.25300/misq/2019/14857.

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Анотація:

New technologies, such as virtualization, are transforming the way in which software and services are deployed and delivered to their users. They are behind the emergence of IT offerings such as cloud computing and converged networks, and manifest themselves through two important trends: (1) lower the cost of sharing a common infrastructure across multiple services with disparate resource requirements, and (2) dynamic provisioning of capacity in response to demand. Conventional wisdom is that both of these capabilities are synergistic, with greater provisioning flexibility improving the benefi

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10

S, Suriya, Madhvesh V S, and Mrudhhula V S. "Cost Efficient Resource Provisioning using ACO." Journal of Soft Computing Paradigm 6, no. 4 (2025): 365–77. https://doi.org/10.36548/jscp.2024.4.003.

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Cloud computing has revolutionized the way computational resources are provisioned and managed, offering scalable and flexible services to meet diverse user demands. However, cost-effective resource management is a very challenging process because of the dynamism and diversity of the aspects of cloud environments that changes in terms of load and resources. The traditional sources of resource acquisition do not have the capacity to deliver the alternatives expected on their cost without having a negative impact on the performance of the resources. This work describes the new approach of utiliz

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11

S, Aarthee, and Venkatesan R. "Secure Dynamic Resource Provisioning Cost by Optimized Placement of Virtual Machines in Cloud Computing." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 1 (2013): 88–93. http://dx.doi.org/10.24297/ijct.v4i1b.3063.

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Cloud computing provides pay-as-you-go computing resources and accessing services are offered from data centers all over the world as the cloud. Consumers may find that cloud computing allows them to reduce the cost of information management as they are not required to own their servers and can use capacity leased from third parties or cloud service providers. Cloud consumers can successfully reduce total cost of resource provisioning using Optimal Cloud Resource Provisioning (OCRP) algorithm in cloud computing environment. The two provisioning plans are reservation and on-demand, used for com

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12

Yu, Xiaosong, Jiye Wang, Kaixin Zhang, et al. "Brown-Field Migration Aware Routing and Spectrum Assignment in Backbone Optical Networks." Applied Sciences 12, no. 1 (2022): 438. http://dx.doi.org/10.3390/app12010438.

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With the development of optical networks technology, broad attention has been paid to flexible grid technology in optical networks due to its ability to carry large-capacity information as well as provide flexible and fine-grained services through on-demand spectrum resource allocation. However, a one-time green-field deployment of a flexible grid network may not be practical. The transition technology called the fixed/flex-grid optical networks is more applicable and highly pragmatic. In such network, many nodes would likely be upgraded from a fixed-grid to flex-grid. In fact, dynamic service

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13

Pg. Ali Kumar, Dk Siti Nur Khadhijah, S. H. Shah Newaz, Fatin Hamadah Rahman, Gyu Myoung Lee, Gour Karmakar, and Thien-Wan Au. "Green Demand Aware Fog Computing: A Prediction-Based Dynamic Resource Provisioning Approach." Electronics 11, no. 4 (2022): 608. http://dx.doi.org/10.3390/electronics11040608.

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Fog computing could potentially cause the next paradigm shift by extending cloud services to the edge of the network, bringing resources closer to the end-user. With its close proximity to end-users and its distributed nature, fog computing can significantly reduce latency. With the appearance of more and more latency-stringent applications, in the near future, we will witness an unprecedented amount of demand for fog computing. Undoubtedly, this will lead to an increase in the energy footprint of the network edge and access segments. To reduce energy consumption in fog computing without compr

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14

Andre, Jean-Marc, Ulf Behrens, James Branson, et al. "Experience with dynamic resource provisioning of the CMS online cluster using a cloud overlay." EPJ Web of Conferences 214 (2019): 07017. http://dx.doi.org/10.1051/epjconf/201921407017.

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The primary goal of the online cluster of the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) is to build event data from the detector and to select interesting collisions in the High Level Trigger (HLT) farm for offline storage. With more than 1500 nodes and a capacity of about 850 kHEPSpecInt06, the HLT machines represent similar computing capacity of all the CMS Tier1 Grid sites together. Moreover, it is currently connected to the CERN IT datacenter via a dedicated 160 Gbps network connection and hence can access the remote EOS based storage with a high bandwidth.

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15

Omarov, Abdulla, Assel Sarsembayeva, Askar Zhussupbekov, et al. "Bearing Capacity of Precast Concrete Joint Micropile Foundations in Embedded Layers: Predictions from Dynamic and Static Load Tests according to ASTM Standards." Infrastructures 9, no. 7 (2024): 104. http://dx.doi.org/10.3390/infrastructures9070104.

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In this paper, joint precast piles with a cross-section of 400 × 400 mm and a pin-joined connection were considered, and their interaction with the soil of Western Kazakhstan has been analyzed. The following methods were used: assessment of the bearing capacity using the static compression load test (SCLT by ASTM) method, interpretation of the field test data, and the dynamic loading test (DLT) method for driving precast concrete joint piles, including Pile Driving Analyzer (PDA by ASTM) and Control and Provisioning of Wireless Access Points (CAPWAP) methods. According to the results, the comp

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16

Canosa-Reyes, Rewer M., Andrei Tchernykh, Jorge M. Cortés-Mendoza, et al. "Dynamic performance–Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds." PLOS ONE 17, no. 1 (2022): e0261856. http://dx.doi.org/10.1371/journal.pone.0261856.

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Containers have emerged as a more portable and efficient solution than virtual machines for cloud infrastructure providing both a flexible way to build and deploy applications. The quality of service, security, performance, energy consumption, among others, are essential aspects of their deployment, management, and orchestration. Inappropriate resource allocation can lead to resource contention, entailing reduced performance, poor energy efficiency, and other potentially damaging effects. In this paper, we present a set of online job allocation strategies to optimize quality of service, energy

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17

Sandeep, Kaipu. "AI-Powered Dynamic Optimization of Cloud Resource Allocation." European Journal of Advances in Engineering and Technology 9, no. 9 (2022): 100–106. https://doi.org/10.5281/zenodo.14059458.

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Анотація:

Due to the exponential expansion of cloud computing and related applications, effective resource allocation has become essential for cloud service providers to ensure performance, cost-efficiency, and scalability. Conventional resource allocation techniques frequently fail to keep up with fluctuating and dynamic workloads, resulting in over- or under-provisioning of resources. To optimize cloud resource allocation, this research investigates the integration of artificial intelligence (AI) algorithms, addressing the difficulties of variable demand, performance trade-offs, and cost minimization.

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18

Hampshire, Robert C., William A. Massey, and Qiong Wang. "DYNAMIC PRICING TO CONTROL LOSS SYSTEMS WITH QUALITY OF SERVICE TARGETS." Probability in the Engineering and Informational Sciences 23, no. 2 (2009): 357–83. http://dx.doi.org/10.1017/s0269964809000205.

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Numerous examples of real-time services arise in the service industry that can be modeled as loss systems. These include agent staffing for call centers, provisioning bandwidth for private line services, making rooms available for hotel reservations, and congestion pricing for parking spaces. Given that arriving customers make their decision to join the system based on the current service price, the manager can use price as a mechanism to control the utilization of the system. A major objective for the manager is then to find a pricing policy that maximizes total revenue while meeting the qual

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19

Shen, Gangxiang, and Wayne D. Grover. "Design and performance of protected working capacity envelopes based on p-cycles for dynamic provisioning of survivable services." Journal of Optical Networking 4, no. 7 (2005): 361. http://dx.doi.org/10.1364/jon.4.000361.

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20

Kumar, Akkrabani Bharani Pradeep, and P. Venkata Nageswara Rao. "Energy Efficient, Resource-Aware, Prediction Based VM Provisioning Approach for Cloud Environment." International Journal of Ambient Computing and Intelligence 11, no. 3 (2020): 22–41. http://dx.doi.org/10.4018/ijaci.2020070102.

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Over the past few decades, computing environments have progressed from a single-user milieu to highly parallel supercomputing environments, network of workstations (NoWs) and distributed systems, to more recently popular systems like grids and clouds. Due to its great advantage of providing large computational capacity at low costs, cloud infrastructures can be employed as a very effective tool, but due to its dynamic nature and heterogeneity, cloud resources consuming enormous amount of electrical power and energy consumption control becomes a major issue in cloud datacenters. This article pr

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21

Siddhart Kumar Choudhary. "AI-Powered Predictive Analytics for Dynamic Cloud Resource Optimization: A Technical Implementation Framework." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1267–75. https://doi.org/10.32628/cseit251112122.

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Анотація:

This article explores the transformative impact of AI-driven predictive analytics on cloud resource optimization, presenting a comprehensive technical implementation framework. The article shows how artificial intelligence and machine learning architectures revolutionize traditional cloud management approaches through advanced predictive capabilities and dynamic resource allocation. It examines the evolution from static threshold-based systems to sophisticated AI-driven solutions, analyzing their implementation strategies across various organizational contexts. The article delves into multiple

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22

Waghmode, Santosh T., and Bankat M. Patil. "Adaptive Load Balancing Using RR and ALB: Resource Provisioning in Cloud." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 302–14. http://dx.doi.org/10.17762/ijritcc.v11i7.7940.

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Cloud Computing context, load balancing is an issue. With a rise in the number of cloud-based technology users and their need for a broad range of services utilizing resources successfully or effectively in a cloud environment is referred to as load balancing, has become a significant obstacle. Load balancing is crucial in storage systems to increase network capacity and speed up response times. The main goal is to present a new load-balancing mechanism that can balance incoming requests from users all over globally who are in different regions requesting data from remote data sources. This me

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23

M.Thenmozhi*1, &. S.Kiruthika2. "NETWORK CAPACITY BASED GEOGRAPHICAL QOS ROUTING FOR MULTIMEDIA STREAMS OVER MANET." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 4 (2018): 540–47. https://doi.org/10.5281/zenodo.1219665.

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The Mobile Adhoc Network (MANET) support in anywhere and anytime wireless communication expands the multimedia applications’ scope. Ever demanding task of multimedia applications to determine the quality of routers among huge number of portable devices is to improve Quality of Service (QoS). To support real time multimedia streams, several geographical based QoS routing protocols have been proposed; however, the portable devices’ expansion leads to stringent QoS demands in MANET. The main reason behind the QoS demand is the dynamic network capacity which relies on network size, nod

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24

Qiao, Wenxin, Hao Lu, Yu Lu, Lijie Meng, and Yicen Liu. "A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks." Future Internet 13, no. 10 (2021): 260. http://dx.doi.org/10.3390/fi13100260.

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Satellite–terrestrial integrated networks (STINs) are regarded as a promising solution to meeting the demands of global high-speed seamless network access in the future. Software-defined networking and network function virtualization (SDN/NFV) are two complementary technologies that can be used to ensure that the heterogeneous resources in STINs can be easily managed and deployed. Considering the dual mobility of satellites and ubiquitous users, along with the dynamic requirements of user requests and network resource states, it is challenging to maintain service continuity and high QoE perfor

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25

Sokratis Barmpounakis, Nancy Alonistioti, George C. Alexandropoulos, and Alexandros Kaloxylos. "Dynamic infrastructure-as-a-service: A key paradigm for 6G networks and application to maritime communications." ITU Journal on Future and Evolving Technologies 3, no. 1 (2022): 55–70. http://dx.doi.org/10.52953/wqwx1975.

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Although, the advent of the fifth Generation (5G) of communication networks has introduced the technology enablers and system capability to support a large number of devices, and highly-demanding services, as well as ultra-low latency and high reliability, enhancements to the current systems will not suffice for future generation networks. Instead, a disruptive communication paradigm needs to be introduced that will ultimately enable the radical evolution of the current systems to a new ones, capable of self-aggregating extraordinary connectivity and computing capabilities in a seamless manner

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26

Prakash Kodali. "Cloud-native AI Ecosystems: Advancing real-time personalization in E-commerce customer experiences." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 217–25. https://doi.org/10.30574/gjeta.2025.23.1.0088.

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This article examines the convergence of advanced artificial intelligence methodologies and cloud-native environments in revolutionizing e-commerce personalization. The article presents a comprehensive framework for implementing dynamic, real-time personalization systems that leverage transformer-based models, reinforcement learning, and adaptive neural networks to process extensive customer interaction datasets instantaneously. The article addresses critical implementation challenges through serverless computing architectures, containerization strategies, and elastic resource provisioning whi

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27

Bogunovic, Igor, Antonio Viduka, Ivan Magdic, Leon Josip Telak, Marcos Francos, and Paulo Pereira. "Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)." Agronomy 10, no. 9 (2020): 1331. http://dx.doi.org/10.3390/agronomy10091331.

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In urban areas, land use usually increases soil degradation. However, there are areas occupied by agriculture and woodlands with an essential role in provisioning food and other services such as water and climate regulation. The objective of this work was to assess the effect of long-term land use and soil management practices on peri-urban soils in Zagreb (Croatia). Samples were collected at depth 0–10 cm within intensively tilled cropland (CROP) and vineyard (VINE), traditional grass-covered orchard (ORCH), and forest (FOR). The results showed that bulk density was significantly higher in VI

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28

Ayoub, Omran, Davide Andreoletti, Francesco Musumeci, Massimo Tornatore, and Achille Pattavina. "Optimal Cache Deployment for Video-On-Demand in Optical Metro Edge Nodes under Limited Storage Capacity." Applied Sciences 10, no. 6 (2020): 1984. http://dx.doi.org/10.3390/app10061984.

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Network operators must continuously explore new network architectures to satisfy increasing traffic demand due to bandwidth-hungry services, such as video-on-demand (VoD). A promising solution which enables offloading traffic consists of terminating VoD requests locally through deploying caches at the network edge. However, deciding the number of caches to deploy, their locations in the network and their dimensions in terms of storage capacity is not trivial and must be jointly optimized, to reduce costs and utilize network resources efficiently. In this paper, we aim to find the optimal deplo

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29

Khan, Hassan Mahmood, Fang-Fang Chua, and Timothy Tzen Vun Yap. "ReSQoV: A Scalable Resource Allocation Model for QoS-Satisfied Cloud Services." Future Internet 14, no. 5 (2022): 131. http://dx.doi.org/10.3390/fi14050131.

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Анотація:

Dynamic resource provisioning is made more accessible with cloud computing. Monitoring a running service is critical, and modifications are performed when specific criteria are exceeded. It is a standard practice to add or delete resources in such situations. We investigate the method to ensure the Quality of Service (QoS), estimate the required resources, and modify allotted resources depending on workload, serialization, and parallelism due to resources. This article focuses on cloud QoS violation remediation using resource planning and scaling. A Resource Quantified Scaling for QoS Violatio

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30

Chergui, Hatim, and Christos Verikoukis. "Offline SLA-Constrained Deep Learning for 5G Networks Reliable and Dynamic End-to-End Slicing." IEEE Journal on Selected Areas in Communications, 38, no. 2 (2020): 350–60. https://doi.org/10.1109/JSAC.2019.2959186.

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Анотація:

In this paper, we address the issue of resource provisioning as an enabler for end-to-end dynamic slicing in software defined networking/network function virtualization (SDN/NFV)-based fifth generation (5G) networks. The different slices' tenants (i.e. logical operators) are dynamically allocated isolated portions of physical resource blocks (PRBs), baseband processing resources, backhaul capacity as well as data forwarding elements (DFE) and SDN controller connections. By invoking massive key performance indicators (KPIs) datasets stemming from a live cellular network endowed with traffic

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31

Saikiran Rallabandi. "AI-Driven Capacity Planning in Large-Scale Infrastructure: A Comparative Analysis of LSTM Networks and Traditional Forecasting Methods." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 950–62. http://dx.doi.org/10.32628/cseit241061139.

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Анотація:

Infrastructure capacity planning presents significant challenges in modern distributed systems, where traditional forecasting methods often fail to accommodate dynamic resource demands effectively. This article examines the implementation of artificial intelligence-driven capacity planning systems, specifically focusing on Long Short-Term Memory (LSTM) networks and advanced machine learning algorithms, across large-scale infrastructure deployments. Through a mixed-methods approach combining quantitative analysis of historical performance data from multiple enterprise deployments and detailed c

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32

Billhardt, Holger, Alberto Fernández, Pasqual Martí, Javier Prieto Tejedor, and Sascha Ossowski. "Towards the Prioritised Use of Transportation Infrastructures: The Case of Vehicle-Specific Dynamic Access Restrictions in City Centres." Electronics 11, no. 4 (2022): 576. http://dx.doi.org/10.3390/electronics11040576.

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Анотація:

One of the main problems that local authorities of large cities have to face is the regulation of urban mobility. They need to provide the means to allow for the efficient movement of people and distribution of goods. However, the provisioning of transportation services needs to take into account general global objectives, like reducing emissions and having more healthy living environments, which may not always be aligned with individual interests. Urban mobility is usually provided through a transport infrastructure that includes all the elements that support mobility. On many occasions, the

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33

Barbierato, Enrico, Marco Gribaudo, and Giuseppe Serazzi. "Multi-formalism Models for Performance Engineering." Future Internet 12, no. 3 (2020): 50. http://dx.doi.org/10.3390/fi12030050.

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Nowadays, the necessity to predict the performance of cloud and edge computing-based architectures has become paramount, in order to respond to the pressure of data growth and more aggressive level of service agreements. In this respect, the problem can be analyzed by creating a model of a given system and studying the performance indices values generated by the model’s simulation. This process requires considering a set of paradigms, carefully balancing the benefits and the disadvantages of each one. While queuing networks are particularly suited to modeling cloud and edge computing architect

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Nura Yusuf, Muhammad, Kamalrulnizam bin Abu Bakar, Babangida Isyaku, and Ajibade Lukuman Saheed. "Review of Path Selection Algorithms with Link Quality and Critical Switch Aware for Heterogeneous Traffic in SDN." International journal of electrical and computer engineering systems 14, no. 3 (2023): 345–70. http://dx.doi.org/10.32985/ijeces.14.3.12.

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Software Defined Networking (SDN) introduced network management flexibility that eludes traditional network architecture. Nevertheless, the pervasive demand for various cloud computing services with different levels of Quality of Service requirements in our contemporary world made network service provisioning challenging. One of these challenges is path selection (PS) for routing heterogeneous traffic with end-to-end quality of service support specific to each traffic class. The challenge had gotten the research community's attention to the extent that many PSAs were proposed. However, a gap s

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Rengarajan, Guruprasath, Nagarajan Ramalingam, and Kannadhasan Suriyan. "Performance enhancement of mobile ad hoc network life time using energy efficient techniques." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2870–77. http://dx.doi.org/10.11591/eei.v12i5.5184.

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Due to the dynamic topology and limited resources in mobile ad hoc networks (MANETs), multicast routing and quality of service (QoS) provisioning are difficult issues. This study introduces an agent-based QoS routing method that uses fuzzy logic to choose the best route while taking into account a variety of independent QoS indicators, including buffer occupancy rate, remaining mobile node battery capacity, and hop count. On the other hand, finding such pathways requires a lot of work in terms of efficiency and security. This study continues to test the security of weak models, and it has been

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Yakubu, Ismail Zaharaddeen, Lele Muhammed, Zainab Aliyu Musa, Zakari Idris Matinja, and Ilya Musa Adamu. "A Multi Agent Based Dynamic Resource Allocation in Fog-Cloud Computing Environment." Trends in Sciences 18, no. 22 (2021): 413. http://dx.doi.org/10.48048/tis.2021.413.

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Cloud high latency limitation has necessitated the introduction of Fog computing paradigm that extends computing infrastructures in the cloud data centers to the edge network. Extended cloud resources provide processing, storage and network services to time sensitive request associated to the Internet of Things (IoT) services in network edge. The rapid increase in adoption of IoT devices, variations in user requirements, limited processing and storage capacity of fog resources and problem of fog resources over saturation has made provisioning and allotment of computing resources in fog environ

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Tania, Panayiotou, P. Chatzis Sotirios, and Ellinas Georgios. "Performance Analysis of a Data-Driven QoT Decision Approach on a Dynamic Multicast-Capable Metro Optical Network." IEEE/OSA Journal of Optical Communications and Networking 9, no. 1 (2017): 98–108. https://doi.org/10.5281/zenodo.1036413.

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The performance of a data-driven quality-of-transmission (QoT) model is investigated on a dynamic metro optical network capable of supporting both unicast and multicast connections. The data-driven QoT technique analyzes data of previous connection requests and, through a training procedure that is performed on a neural network, returns a data-driven QoT model that nearaccurately decides the QoT of the newly arriving requests. The advantages of the data-driven QoT approach over the existing Q-factor techniques are that it is self-adaptive, it is a function of data that are independent from the

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Weng, Qiyan, Yijing Tang, and Hangguan Shan. "Multiuser Access Control for 360° VR Video Service Systems Exploiting Proactive Caching and Mobile Edge Computing." Applied Sciences 15, no. 8 (2025): 4201. https://doi.org/10.3390/app15084201.

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Mobile virtual reality (VR) is considered a killer application for future mobile broadband networks. However, for cloud VR, the long content delivery path and time-varying transmission rate from the content provider’s cloud VR server to the users make the quality-of-service (QoS) provisioning for VR users very challenging. To this end, in this paper, we design a 360° VR video service system that leverages proactive caching and mobile edge computing (MEC) technologies. Furthermore, we propose a multiuser access control algorithm tailored to the system, based on analytical results of the delay v

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Dr.A.Shaji, George. "Democratizing Compute Power: The Rise of Computation as a Commodity and its Impacts." Partners Universal Innovative Research Publication (PUIRP) 02, no. 03 (2024): 57–74. https://doi.org/10.5281/zenodo.11654354.

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This paper investigates the emerging concept of Compute as a Commodity (CaaC), which promises to revolutionize business innovation by providing easy access to vast compute resources, unlocked by cloud computing. CaaC aims to treat compute like electricity or water - conveniently available for consumption on demand. The pay-as-you-go cloud model enables click-button provisioning of processing capacity, without major capital investments. Our research defines CaaC, its objectives of ubiquitous, low-cost compute, and its self-service consumption vision. We analyze the CaaC technical model, which c

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Kolla, Sudheer. "Serverless Computing: Transforming Application Development with Serverless Databases: Benefits, Challenges, and Future Trends." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 1 (2019): 810–19. https://doi.org/10.61841/turcomat.v10i1.15043.

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Serverless computing has revolutionized cloud services by abstracting infrastructure management, providing developers with an environment that automatically scales to meet demand. Initially popular in computing, serverless computing has since expanded into the database realm with services such as Amazon Aurora Serverless and Google Cloud Firestore. These databases offer dynamic scaling of storage and compute capacity without the need for developers to manage the underlying infrastructure. Serverless databases have transformed application development by providing a pay-per-use pricing model, wh

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Runsewe, Oluwayemisi, Olajide Soji Osundare, Samuel Olaoluwa Folorunsho, and Lucy Anthony Akwawa. "CHALLENGES AND SOLUTIONS IN MONITORING AND MANAGING CLOUD INFRASTRUCTURE: A SITE RELIABILITY PERSPECTIVE." Information Management and Computer Science 7, no. 1 (2023): 47–55. https://doi.org/10.26480/imcs.01.2024.47.55.

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Monitoring and managing cloud infrastructure presents unique challenges from a site reliability engineering (SRE) perspective, requiring a balance between operational efficiency and system stability. As cloud environments grow in complexity, traditional monitoring tools and practices often fall short, leading to issues such as inadequate visibility, alert fatigue, and the inability to predict failures. Additionally, the dynamic nature of cloud resources complicates capacity planning and cost management. Key challenges include ensuring consistent performance across distributed systems, managing

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Ali, Qutaiba I. "Performance Optimization and Architectural Advancements in Cloud Radio Access Networks (C-RAN) for 5G and Beyond." Journal of Electronic & Information Systems 7, no. 1 (2025): 22–38. https://doi.org/10.30564/jeis.v7i1.9960.

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As the demand for high-speed, low-latency, and energy-efficient mobile communications continues to surge with the proliferation of IoT, AR/VR, and ultra-reliable applications, traditional Distributed Radio Access Network (D-RAN) architectures face critical limitations. Cloud Radio Access Network (C-RAN) emerges as a promising alternative that centralizes baseband processing to improve scalability, resource utilization, and operational flexibility. This paper presents a comprehensive evaluation of C-RAN architecture, focusing on structural models, fronthaul technologies, and cloud-based service

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G.S, Hari Priya, Janani P.R, and J. Nagavardhan Reddy. "Exploring AWS S3: In-Depth Analysis of Bucket Management." Journal of Sensor and Cloud Computing 1, no. 2 (2024): 1–5. http://dx.doi.org/10.46610/joscc.2024.v01i02.001.

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Amazon Simple Storage Service (S3) is a cornerstone in modern data management strategies with in Amazon Web Services (AWS). It is pivotal in providing scalable, durable, and accessible object storage infrastructure. A key advantage of S3 is its scalability, enabling seamless storage capacity expansion without upfront investments or provisioning delays. This flexibility empowers organizations to accommodate dynamic data growth while maintaining operational agility, which is crucial in today's rapidly evolving digital landscape. S3's exceptional durability, boasting an impressive 99.999999999% r

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Río, Alberto del, Javier Serrano, David Jimenez, Luis M. Contreras, and Federico Alvarez. "A Deep Reinforcement Learning Quality Optimization Framework for Multimedia Streaming over 5G Networks." Applied Sciences 12, no. 20 (2022): 10343. http://dx.doi.org/10.3390/app122010343.

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Media applications are amongst the most demanding services. They require high amounts of network capacity as well as computational resources for synchronous high-quality audio–visual streaming. Recent technological advances in the domain of new generation networks, specifically network virtualization and Multiaccess Edge Computing (MEC) have unlocked the potential of the media industry. They enable high-quality media services through dynamic and efficient resource allocation taking advantage of the flexibility of the layered architecture offered by 5G. The presented work demonstrates the poten

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Mazhar, Tehseen, Muhammad Amir Malik, Syed Agha Hassnain Mohsan, et al. "Quality of Service (QoS) Performance Analysis in a Traffic Engineering Model for Next-Generation Wireless Sensor Networks." Symmetry 15, no. 2 (2023): 513. http://dx.doi.org/10.3390/sym15020513.

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Quality of Service (QoS) refers to techniques that function on a network to dependably execute high-priority applications and traffic reliably run high-priority applications and traffic even when the network’s capacity is limited. It is expected that data transmission over next-generation WSNs (Wireless Sensor Networks) 5G (5th generation) and beyond will increase significantly, especially for multimedia content such as video. Installing multiple IoT (Internet of Things refers to the network of devices that are all connected to each other) nodes on top of 5G networks makes the design more chal

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Serôdio, Carlos, José Cunha, Guillermo Candela, Santiago Rodriguez, Xosé Ramón Sousa, and Frederico Branco. "The 6G Ecosystem as Support for IoE and Private Networks: Vision, Requirements, and Challenges." Future Internet 15, no. 11 (2023): 348. http://dx.doi.org/10.3390/fi15110348.

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The emergence of the sixth generation of cellular systems (6G) signals a transformative era and ecosystem for mobile communications, driven by demands from technologies like the internet of everything (IoE), V2X communications, and factory automation. To support this connectivity, mission-critical applications are emerging with challenging network requirements. The primary goals of 6G include providing sophisticated and high-quality services, extremely reliable and further-enhanced mobile broadband (feMBB), low-latency communication (ERLLC), long-distance and high-mobility communications (LDHM

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Anurag, Reddy, Naik Anil, and Reddy Sandeep. "Optimizing Expansions at Data Center." European Journal of Advances in Engineering and Technology 9, no. 11 (2022): 52–58. https://doi.org/10.5281/zenodo.10889988.

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<strong>ABSTRACT</strong> This paper proposes a novel approach to data center expansion planning and execution, aiming to streamline the process and enhance responsiveness to dynamic compute demands. The traditional model, involving Commercial Readiness, Cage Readiness, Network HW Readiness, and Compute Provisioning, often leads to long lead times and high variability in short-term planning. The suggested paradigm introduces an intermediate "Medium Term Planning" phase to bridge the gap between site preparation and short-term demand, dissociating Cage/Network Readiness from compute expansions.

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Mikhailova, Elena A., Hamdi A. Zurqani, Christopher J. Post, Mark A. Schlautman, and Gregory C. Post. "Soil Diversity (Pedodiversity) and Ecosystem Services." Land 10, no. 3 (2021): 288. http://dx.doi.org/10.3390/land10030288.

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Soil ecosystem services (ES) (e.g., provisioning, regulation/maintenance, and cultural) and ecosystem disservices (ED) are dependent on soil diversity/pedodiversity (variability of soils), which needs to be accounted for in the economic analysis and business decision-making. The concept of pedodiversity (biotic + abiotic) is highly complex and can be broadly interpreted because it is formed from the interaction of atmospheric diversity (abiotic + biotic), biodiversity (biotic), hydrodiversity (abiotic + biotic), and lithodiversity (abiotic) within ecosphere and anthroposphere. Pedodiversity is

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Pahl-Wostl, Claudia, and James J. Patterson. "Commentary: Transformative Change in Governance Systems A conceptual framework for analysing adaptive capacity and multi-level learning processes in resource governance regimes." Global Environmental Change 71 (November 3, 2021): 102405. https://doi.org/10.1016/j.gloenvcha.2021.102405.

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Most environmental crises have their origin in governance failures. Resource management paradigms that focus on exploitation of provisioning ecosystem services are ill suited to deal with the complexity of human-environment interactions. They often have rendered human-environment systems vulnerable to shocks and crises. The need for profound paradigm shifts and transformative change of governance systems was thus advocated during the first decade of this millennium, when prospects of global and climate change became increasingly core matters of concern. Environmental governance was still a you

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Borowiecka, Malgorzata, Mar Alcaraz, and Marisol Manzano. "An Application of the Ecosystem Services Assessment Approach to the Provision of Groundwater for Human Supply and Aquifer Management Support." Hydrology 12, no. 6 (2025): 137. https://doi.org/10.3390/hydrology12060137.

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Increasing pressures on groundwater in the last decades have led to a deterioration in the quality of groundwater for human consumption around the world. Beyond the essential evaluation of groundwater dynamics and quality, analyzing the situation from the perspective of the Ecosystem Services Assessment (ESA) approach can be useful to support aquifer management plans aiming to recover aquifers’ capacity to provide good quality water. This work illustrates how to implement the ESA using groundwater flow and nitrate transport modelling for evaluating future trends of the provisioning service Gro

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