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    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

    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 role in this transformation. Hyperconverged… More >

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