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towards cloud-based resource management for big data applications
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نویسنده
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ghobaei-arani mostafa ,akhavan hoda
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منبع
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محاسبات نرم - 2023 - دوره : 12 - شماره : 1 - صفحه:38 -40
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چکیده
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In the age of information technology, analyzing data in the cloud through efficient resource management is recognized as an effective solution to meet the quality-of-service needs of 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.
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کلیدواژه
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resource management ,cloud environment ,quality of service ,data analysis ,big data
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آدرس
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qom branch islamic azad university, department of computer engineering, iran, amirkabir university of technology, department of computer engineering and information technology, iran
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پست الکترونیکی
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akhavanhoda121@gmail.com
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towards cloud-based resource management for big data applications
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Authors
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ghobaei-arani mostafa ,akhavan hoda
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Abstract
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in the age of information technology, analyzing data in the cloud through efficient resource management is recognized as an effective solution to meet the quality-of-service needs of 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.
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Keywords
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resource management ,cloud environment ,quality of service ,data analysis ,big data
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