نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشکده فنی مهندسی، دانشگاه آزاد اسلامی، واحد قم، قم، ایران
2 گروه مهندسی کامپیوتر و فناوری اطلاعات، دانشگاه امیرکبیر، تهران،ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
In the age of big data, analyzing healthcare data in the cloud through efficient resource management is recognized as an effective solution to meet the quality-of-service needs of medical users. In this regard, this paper proposes a fuzzy selector-based approach to improve the virtual machine (VM) migration process that provides a balance between servers during the processing of tasks. The proposed approach is a hierarchical resource prediction that includes local and global parts for processing requests. Evaluations demonstrate the superiority of the proposed approach over state-of-the-art methods. The results show that the proposed approach reduces the cost by 10% compared to FAHP.
کلیدواژهها [English]
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