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  • Open Access

    ARTICLE

    An Integrated Framework for Cloud Service Selection Based on BOM and TOPSIS

    Ahmed M. Mostafa*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4125-4142, 2022, DOI:10.32604/cmc.2022.024676 - 29 March 2022

    Abstract Many businesses have experienced difficulties in selecting a cloud service provider (CSP) due to the rapid advancement of cloud computing services and the proliferation of CSPs. Many independent criteria should be considered when evaluating the services provided by different CSPs. It is a case of multi-criteria decision-making (MCDM). This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method (BOM) and technique for order of preference by similarity to ideal solution (TOPSIS). To obtain the weights of criteria and the relative importance of… More >

  • Open Access

    ARTICLE

    Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

    Nadia Tabassum1, Allah Ditta2, Tahir Alyas3, Sagheer Abbas4, Hani Alquhayz5, Natash Ali Mian6, Muhammad Adnan Khan7,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3129-3141, 2021, DOI:10.32604/cmc.2021.014729 - 01 March 2021

    Abstract Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet. The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric. In a hyperconverged cloud ecosystem environment, building high-reliability cloud applications is a challenging job. The selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud rankings. The emergence of cloud computing is significantly reshaping the digital ecosystem, and the numerous services offered by cloud service providers are playing a vital… More >

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