A Comparative Analysis of Various Auto-Scalers in the Cloud Environment

Authors

  • aDhrub Kumar  Scholar, Department of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu, India
  • Naveen Gondhi  Assistant Professor, Department of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu, India

Keywords:

Auto-scaling, Application Provisioning, Cloud Computing

Abstract

The IaaS service model offers resources to its customers in the form of virtual machines (VMs) on a pay per use basis. These days, large enterprises and even small and medium businesses (SMBs) have started deploying their applications on clouds due to the various advantages it offers. The elastic feature of the clouds lets the deployed applications to scale their resources in accordance with the workload demands. This ensures that the applications provide the guaranteed QoS to its users as specified in the SLAs. To handle the automatic acquiring and releasing of resources as per application workload demands in the cloud environment (auto-scaling), various techniques have been proposed by researchers in the past. This paper performs a comparative analysis of various auto scaling techniques in cloud with respect to a number of factors viz. scaling technique, scaling type, scaling timing, and workload nature.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-09-30

Issue

Volume 2, Issue 7, September-2017

Section

Research Articles

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How to Cite

[1]
aDhrub Kumar, Naveen Gondhi, " A Comparative Analysis of Various Auto-Scalers in the Cloud Environment, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.157-164, September-2017.