STUDY ON RESOURCE SCHDULING AND ALLOCATON FOR MULTI-OBJECTIVE-BASED VIRTUAL MACHINES.

Over the Internet, the way of storing and access to data and programs is termed cloud computing. This does not require a dedicated server in residence. Cloud computing provisions data access anywhere, any time. Google Drive, Apple I Cloud, Amazon are some of the big retailers in Cloud. Users go on w...

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Bibliographic Details
Published in:Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2448 - 2452
Main Authors: KRISHNAKUMAR, K., MALARVIZHI, N., KUMANAN, T.
Format: tables/charts Journal Article
Published: Turkish Journal of Physiotherapy & Rehabilitation 2021
Online Access:View this record in EBSCOhost
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      dt: 2021
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      pub: Turkish Journal of Physiotherapy & Rehabilitation
      place: Kizilay/ Ankara, <Blank>
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        atl: STUDY ON RESOURCE SCHDULING AND ALLOCATON FOR MULTI-OBJECTIVE-BASED VIRTUAL MACHINES.
      aug:
        au:
          KRISHNAKUMAR, K.
          MALARVIZHI, N.
          KUMANAN, T.
        affil: Assistant Professor, Department of Computer Science and Engineering, Meenakshi Institute of Higher Education and Research, Chennai, Tamilnadu, India
      sug:
        subj:
          Resource Allocation Evaluation
          Software
          Algorithms
          Cloud Computing
          Fees and Charges
          Workload
          Power Sources
      ab: Over the Internet, the way of storing and access to data and programs is termed cloud computing. This does not require a dedicated server in residence. Cloud computing provisions data access anywhere, any time. Google Drive, Apple I Cloud, Amazon are some of the big retailers in Cloud. Users go on with pay and use service in Cloud. Many researchers have developed various meta-heuristic algorithms to optimize capital distribution of resources. The virtual resource allocation method includes construction/destruction of virtual machines dynamically, without affecting the execution of the application. Therefore, assigning resources at the virtual machine level provides several distinct advantages such as consistency in the distribution and migration of virtual resources. In this paper various reviews related to study on resource schduling and allocaton for multi-objective-based virtual machines has been studied.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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