Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1998
Title: Cloud Resource Management Optimization: Taxonomy and Research Challenges
Authors: Singh J
Duhan B
Gupta D
Sharma N.
Keywords: Cloud Resource Managemen
Resource Allocation
Resource Management Techniques
Resource Scheduling Approaches.
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: The idea of cloud computing has reshaped the field of distributed systems, as well as changed how organizations utilizing computing today. Because of the accessibility of limited resources it is exceptionally challenging for cloud service providers to give all the requested resources. Resource management in cloud environment focus upon computing the workload intensive applications that have that have diverse optimization parameters. This study exhibits a complete resource management survey and elaborates broad scientific taxonomy based on the distinct highlights. The scientific taxonomy analyzed most encouraging existing research in resource management and observed monitored values and significant criteria for assessing the viability of several resource management (RM) techniques with their performance evaluation. This paper shows a consecutive study on cloud resource management with broad investigation of particular RM strategies with their evaluation parameters and research issues that should be taken into consideration while suggesting unique RM techniques.
URI: 10.1109/ICRITO48877.2020.9197840
http://hdl.handle.net/123456789/1998
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