An effective resource management in cloud computing

被引：5

作者：

Mohamed Shameem P. ^{[1
]}

Johnson N. ^{[1
]}

Shaji R.S. ^{[2
]}

Arun E. ^{[3
]}

机构：

[1] Department of Computer Science and Engineering, TKM Institute of Technology, Kerala

[2] Department of Information Technology, Noorul Islam Univeristy, Kumaracoil

[3] Department of Computer Science and Engineering, Marian Engineering College, Trivandrum, Kerala

来源：

International Journal of Communication Networks and Distributed Systems | 2017年 / 19卷 / 04期

关键词：

Case-based reasoning; Cloud computing; Elasticity; QoS; Quality of service; Resource allocation; Resource management; Rough set theory; Service level agreement; SLA; Virtualisation;

D O I：

10.1504/IJCNDS.2017.087388

中图分类号：

学科分类号：

摘要：

Provision of resources must be provided such that all resources are made available to user's request in efficient manner to satisfy their needs. Resource allocation in virtualised environment should provide elasticity. When the workload increases, existing approaches cannot respond to the growing performance in an effective way. This may lead to the violation of service level agreement (SLA) which will decrease the quality of service (QoS). Existing methods cannot take an accurate decision on the allocation of resources in an optimal way and are not predictive in nature. Before any problems occur, they cannot take a precaution on resource management. Therefore, a framework is used to ensure effective resource management. This framework uses rough set algorithm in order to make an accurate decision on the allocation of resources. Variation in workloads is adapted by considering new parameters like type of application, garbage processing policy and internal application resources. © 2017 Inderscience Enterprises Ltd.

引用

页码：448 / 464

页数：16

共 22 条

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