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  • Open Access

    REVIEW

    Cloud Datacenter Selection Using Service Broker Policies: A Survey

    Salam Al-E’mari1, Yousef Sanjalawe2,*, Ahmad Al-Daraiseh3, Mohammad Bany Taha4, Mohammad Aladaileh2

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 1-41, 2024, DOI:10.32604/cmes.2023.043627

    Abstract Amid the landscape of Cloud Computing (CC), the Cloud Datacenter (DC) stands as a conglomerate of physical servers, whose performance can be hindered by bottlenecks within the realm of proliferating CC services. A linchpin in CC’s performance, the Cloud Service Broker (CSB), orchestrates DC selection. Failure to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck, endangering service quality. To tackle this, deploying an efficient CSB policy becomes imperative, optimizing DC selection to meet stringent Quality-of-Service (QoS) demands. Amidst numerous CSB policies, their implementation grapples with challenges like costs and availability. This article undertakes a holistic… More >

  • Open Access

    ARTICLE

    Adaptive Quality-of-Service Allocation Scheme for Improving Video Quality over a Wireless Network

    Raed Alsaqour1, Ammar Hadi2, Maha Abdelhaq3,*

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 675-692, 2022, DOI:10.32604/iasc.2022.020482

    Abstract The need to ensure the quality of video streaming transmitted over wireless networks is growing every day. Video streaming is typically used for applications that are sensitive to poor quality of service (QoS) due to insufficient bandwidth, packet loss, or delay. These challenges hurt video streaming quality since they affect throughput and packet delivery of the transmitted video. To achieve better video streaming quality, throughput must be high, with minimal packet delay and loss ratios. A current study, however, found that the adoption of the adaptive multiple TCP connections (AM-TCP), as a transport layer protocol, improves the quality of video… More >

  • Open Access

    ARTICLE

    A Novel Features Prioritization Mechanism for Controllers in Software-Defined Networking

    Jehad Ali1, Byungkyu Lee2, Jimyung Oh2, Jungtae Lee3, Byeong-hee Roh1,*

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 267-282, 2021, DOI:10.32604/cmc.2021.017813

    Abstract The controller in software-defined networking (SDN) acts as strategic point of control for the underlying network. Multiple controllers are available, and every single controller retains a number of features such as the OpenFlow version, clustering, modularity, platform, and partnership support, etc. They are regarded as vital when making a selection among a set of controllers. As such, the selection of the controller becomes a multi-criteria decision making (MCDM) problem with several features. Hence, an increase in this number will increase the computational complexity of the controller selection process. Previously, the selection of controllers based on features has been studied by… More >

  • Open Access

    ARTICLE

    Quality of Service Improvement with Optimal Software-Defined Networking Controller and Control Plane Clustering

    Jehad Ali, Byeong-hee Roh*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 849-875, 2021, DOI:10.32604/cmc.2021.014576

    Abstract The controller is indispensable in software-defined networking (SDN). With several features, controllers monitor the network and respond promptly to dynamic changes. Their performance affects the quality-of-service (QoS) in SDN. Every controller supports a set of features. However, the support of the features may be more prominent in one controller. Moreover, a single controller leads to performance, single-point-of-failure (SPOF), and scalability problems. To overcome this, a controller with an optimum feature set must be available for SDN. Furthermore, a cluster of optimum feature set controllers will overcome an SPOF and improve the QoS in SDN. Herein, leveraging an analytical network process… More >

  • Open Access

    ARTICLE

    QoS-Aware Energy-Efficient Task Scheduling on HPC Cloud Infrastructures Using Swarm-Intelligence Meta-Heuristics

    Amit Chhabra1, *, Gurvinder Singh2, Karanjeet Singh Kahlon2

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 813-834, 2020, DOI:10.32604/cmc.2020.010934

    Abstract Cloud computing infrastructure has been evolving as a cost-effective platform for providing computational resources in the form of high-performance computing as a service (HPCaaS) to users for executing HPC applications. However, the broader use of the Cloud services, the rapid increase in the size, and the capacity of Cloud data centers bring a remarkable rise in energy consumption leading to a significant rise in the system provider expenses and carbon emissions in the environment. Besides this, users have become more demanding in terms of Quality-of-service (QoS) expectations in terms of execution time, budget cost, utilization, and makespan. This situation calls… More >

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