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  • Open Access

    ARTICLE

    Auto-Scaling Framework for Enhancing the Quality of Service in the Mobile Cloud Environments

    Yogesh Kumar1,*, Jitender Kumar1, Poonam Sheoran2

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5785-5800, 2023, DOI:10.32604/cmc.2023.039276 - 29 April 2023

    Abstract On-demand availability and resource elasticity features of Cloud computing have attracted the focus of various research domains. Mobile cloud computing is one of these domains where complex computation tasks are offloaded to the cloud resources to augment mobile devices’ cognitive capacity. However, the flexible provisioning of cloud resources is hindered by uncertain offloading workloads and significant setup time of cloud virtual machines (VMs). Furthermore, any delays at the cloud end would further aggravate the miseries of real-time tasks. To resolve these issues, this paper proposes an auto-scaling framework (ACF) that strives to maintain the quality… 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 - 22 September 2022

    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,… More >

  • Open Access

    ARTICLE

    Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing

    Sami Ullah Khan1, Babar Nazir1, Muhammad Hanif2,*, Akhtar Ali3, Sardar Alam1, Usman Habib4

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4199-4220, 2022, DOI:10.32604/cmc.2022.020852 - 14 January 2022

    Abstract The cloud service level agreement (SLA) manage the relationship between service providers and consumers in cloud computing. SLA is an integral and critical part of modern era IT vendors and communication contracts. Due to low cost and flexibility more and more consumers delegate their tasks to cloud providers, the SLA emerges as a key aspect between the consumers and providers. Continuous monitoring of Quality of Service (QoS) attributes is required to implement SLAs because of the complex nature of cloud communication. Many other factors, such as user reliability, satisfaction, and penalty on violations are also… More >

  • Open Access

    ARTICLE

    Intelligent Model for Predicting the Quality of Services Violation

    Muhammad Adnan Khan1,2, Asma Kanwal3, Sagheer Abbas3, Faheem Khan4, T. Whangbo4,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3607-3619, 2022, DOI:10.32604/cmc.2022.023480 - 07 December 2021

    Abstract Cloud computing is providing IT services to its customer based on Service level agreements (SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) and to maintain SLAs accountability. Cloud service providers need to predict possible service violations before the emergence of an issue to perform remedial actions for it. Cloud users’ major concerns; the factors for service reliability are based on response time, accessibility, availability, and speed. In this paper, we, therefore, experiment with the parallel mutant-Particle swarm optimization (PSO) for the detection and predictions of QoS violations in More >

  • Open Access

    ARTICLE

    Service Level Agreement Based Secured Data Analytics Framework for Healthcare Systems

    S. Benila1,*, N. Usha Bhanu2

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1277-1291, 2022, DOI:10.32604/iasc.2022.021920 - 17 November 2021

    Abstract Many physical objects are connected to the internet in this modern day to make things easier to work based on the convenience of the user, which reduces human involvement with the help of Internet of Things (IoT) technology.This aids in the capture of large amounts of data, the interchange of information via the internet, and the remote operation of machines. IoT health data is typically in the form of big data and is frequently coupled with the cloud for secure storage. Cloud technology provides a wide range of technological services via the internet, and it… More >

  • Open Access

    ARTICLE

    Optimal Load Balancing in Cloud Environment of Virtual Machines

    Fuad A.M. Al-Yarimi1,*, Sami Althahabi1, Majdy Mohammed Eltayeb2

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 919-932, 2022, DOI:10.32604/csse.2022.021272 - 10 November 2021

    Abstract Cloud resource scheduling is gaining prominence with the increasing trends of reliance on cloud infrastructure solutions. Numerous sets of cloud resource scheduling models were evident in the literature. Cloud resource scheduling refers to the distinct set of algorithms or programs the service providers engage to maintain the service level allocation for various resources over a virtual environment. The model proposed in this manuscript schedules resources of virtual machines under potential volatility aspects, which can be applied for any priority metric chosen by the server administrators. Also, the model can be flexible for any time frame-based 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 - 18 January 2021

    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 More >

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