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  • Open Access

    ARTICLE

    Optimizing Resource Allocation Framework for Multi-Cloud Environment

    Tahir Alyas1, Taher M. Ghazal2,3, Badria Sulaiman Alfurhood4, Ghassan F. Issa2, Osama Ali Thawabeh5, Qaiser Abbas6,*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4119-4136, 2023, DOI:10.32604/cmc.2023.033916 - 31 March 2023

    Abstract Cloud computing makes dynamic resource provisioning more accessible. Monitoring a functioning service is crucial, and changes are made when particular criteria are surpassed. This research explores the decentralized multi-cloud environment for allocating resources and ensuring the Quality of Service (QoS), estimating the required resources, and modifying allotted resources depending on workload and parallelism due to resources. Resource allocation is a complex challenge due to the versatile service providers and resource providers. The engagement of different service and resource providers needs a cooperation strategy for a sustainable quality of service. The objective of a coherent and… More >

  • Open Access

    REVIEW

    Survey on Task Scheduling Optimization Strategy under Multi-Cloud Environment

    Qiqi Zhang1, Shaojin Geng2, Xingjuan Cai1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 1863-1900, 2023, DOI:10.32604/cmes.2023.022287 - 23 November 2022

    Abstract Cloud computing technology is favored by users because of its strong computing power and convenient services. At the same time, scheduling performance has an extremely efficient impact on promoting carbon neutrality. Currently, scheduling research in the multi-cloud environment aims to address the challenges brought by business demands to cloud data centers during peak hours. Therefore, the scheduling problem has promising application prospects under the multi-cloud environment. This paper points out that the currently studied scheduling problems in the multi-cloud environment mainly include independent task scheduling and workflow task scheduling based on the dependencies between tasks. More > Graphic Abstract

    Survey on Task Scheduling Optimization Strategy under Multi-Cloud Environment

  • Open Access

    ARTICLE

    Weighted-adaptive Inertia Strategy for Multi-objective Scheduling in Multi-clouds

    Mazen Farid1,3,*, Rohaya Latip1,2, Masnida Hussin1, Nor Asilah Wati Abdul Hamid1

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1529-1560, 2022, DOI:10.32604/cmc.2022.021410 - 24 February 2022

    Abstract One of the fundamental problems associated with scheduling workflows on virtual machines in a multi-cloud environment is how to find a near-optimum permutation. The workflow scheduling involves assigning independent computational jobs with conflicting objectives to a set of virtual machines. Most optimization methods for solving non-deterministic polynomial-time hardness (NP-hard) problems deploy multi-objective algorithms. As such, Pareto dominance is one of the most efficient criteria for determining the best solutions within the Pareto front. However, the main drawback of this method is that it requires a reasonably long time to provide an optimum solution. In this… More >

  • Open Access

    ARTICLE

    Enhanced Trust Based Access Control for Multi-Cloud Environment

    N. R. Rejin Paul1,*, D. Paul Raj2

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3079-3093, 2021, DOI:10.32604/cmc.2021.018993 - 24 August 2021

    Abstract Security is an essential part of the cloud environment. For ensuring the security of the data being communicated to and from the cloud server, a significant parameter called trust was introduced. Trust-based security played a vital role in ensuring that the communication between cloud users and service providers remained unadulterated and authentic. In most cloud-based data distribution environments, emphasis is placed on accepting trusted client users’ requests, but the cloud servers’ integrity is seldom verified. This paper designs a trust-based access control model based on user and server characteristics in a multi-cloud environment to address… More >

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