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

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  • aDhrub Kumar
  • Naveen Gondhi

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.

Suggested Citation

  • aDhrub Kumar & Naveen Gondhi, 2017. "A Comparative Analysis of Various Auto-Scalers in the Cloud Environment," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 157-164, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174420
    Note: Article URL: https://ijsrcseit.com/CSEIT174420
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