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  • Open Access

    ARTICLE

    Performance Framework for Virtual Machine Migration in Cloud Computing

    Tahir Alyas1, Taher M. Ghazal2,3, Badria Sulaiman Alfurhood4, Munir Ahmad5, Ossma Ali Thawabeh6, Khalid Alissa7, Qaiser Abbas8,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6289-6305, 2023, DOI:10.32604/cmc.2023.035161

    Abstract In the cloud environment, the transfer of data from one cloud server to another cloud server is called migration. Data can be delivered in various ways, from one data centre to another. This research aims to increase the migration performance of the virtual machine (VM) in the cloud environment. VMs allow cloud customers to store essential data and resources. However, server usage has grown dramatically due to the virtualization of computer systems, resulting in higher data centre power consumption, storage needs, and operating expenses. Multiple VMs on one data centre manage share resources like central processing unit (CPU) cache, network… More >

  • Open Access

    ARTICLE

    Improved Metaheuristic Based Failure Prediction with Migration Optimization in Cloud Environment

    K. Karthikeyan1,*, Liyakathunisa2, Eman Aljohani2, Thavavel Vaiyapuri3

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1641-1654, 2023, DOI:10.32604/csse.2023.031582

    Abstract Cloud data centers consume high volume of energy for processing and switching the servers among different modes. Virtual Machine (VM) migration enhances the performance of cloud servers in terms of energy efficiency, internal failures and availability. On the other end, energy utilization can be minimized by decreasing the number of active, underutilized sources which conversely reduces the dependability of the system. In VM migration process, the VMs are migrated from underutilized physical resources to other resources to minimize energy utilization and optimize the operations. In this view, the current study develops an Improved Metaheuristic Based Failure Prediction with Virtual Machine… More >

  • Open Access

    ARTICLE

    A Service Level Agreement Aware Online Algorithm for Virtual Machine Migration

    Iftikhar Ahmad1,*, Ambreen Shahnaz2, Muhammad Asfand-e-Yar3, Wajeeha Khalil1, Yasmin Bano1

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 279-291, 2023, DOI:10.32604/cmc.2023.031344

    Abstract The demand for cloud computing has increased manifold in the recent past. More specifically, on-demand computing has seen a rapid rise as organizations rely mostly on cloud service providers for their day-to-day computing needs. The cloud service provider fulfills different user requirements using virtualization - where a single physical machine can host multiple Virtual Machines. Each virtual machine potentially represents a different user environment such as operating system, programming environment, and applications. However, these cloud services use a large amount of electrical energy and produce greenhouse gases. To reduce the electricity cost and greenhouse gases, energy efficient algorithms must be… More >

  • Open Access

    ARTICLE

    An Efficient On-Demand Virtual Machine Migration in Cloud Using Common Deployment Model

    C. Saravanakumar1,*, R. Priscilla1, B. Prabha2, A. Kavitha3, M. Prakash4, C. Arun5

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 245-256, 2022, DOI:10.32604/csse.2022.022122

    Abstract Cloud Computing provides various services to the customer in a flexible and reliable manner. Virtual Machines (VM) are created from physical resources of the data center for handling huge number of requests as a task. These tasks are executed in the VM at the data center which needs excess hosts for satisfying the customer request. The VM migration solves this problem by migrating the VM from one host to another host and makes the resources available at any time. This process is carried out based on various algorithms which follow a predefined capacity of source VM leads to the capacity… More >

  • Open Access

    ARTICLE

    A Resource Management Algorithm for Virtual Machine Migration in Vehicular Cloud Computing

    Sohan Kumar Pande1, Sanjaya Kumar Panda2, Satyabrata Das1, Kshira Sagar Sahoo3, Ashish Kr. Luhach4, N. Z. Jhanjhi5,*, Roobaea Alroobaea6, Sivakumar Sivanesan5

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2647-2663, 2021, DOI:10.32604/cmc.2021.015026

    Abstract In recent years, vehicular cloud computing (VCC) has gained vast attention for providing a variety of services by creating virtual machines (VMs). These VMs use the resources that are present in modern smart vehicles. Many studies reported that some of these VMs hosted on the vehicles are overloaded, whereas others are underloaded. As a circumstance, the energy consumption of overloaded vehicles is drastically increased. On the other hand, underloaded vehicles are also drawing considerable energy in the underutilized situation. Therefore, minimizing the energy consumption of the VMs that are hosted by both overloaded and underloaded is a challenging issue in… More >

  • Open Access

    ARTICLE

    An Enhanced Decentralized Virtual Machine Migration Approach for Energy-Aware Cloud Data Centers

    R. Jayamala*, A. Valarmathi

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 347-358, 2021, DOI:10.32604/iasc.2021.012401

    Abstract Cloud computing is an increasingly important technology to deliver pay-as-you-go online computing services. In this study, the cloud service provider permits the cloud user to pay according to the user’s needs. Various methods have been used to reduce energy utilization in the cloud. The rapid increase of cloud users has led to increased energy consumption and higher operating costs for cloud providers. A key issue in cloud data centers is their massive energy consumption to operate and maintain computing services. Virtual machine (VM) migration is a method to reduce energy consumption. This study proposes enhanced decentralized virtual machine migration (EDVMM),… More >

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