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Soft Computing

, Volume 23, Issue 21, pp 10781–10791 | Cite as

Cloud computing-based resource provisioning using k-means clustering and GWO prioritization

  • A. MeenakshiEmail author
  • H. Sirmathi
  • J. Anitha Ruth
Methodologies and Application
  • 57 Downloads

Abstract

As the use of cloud computing continues to grow, issues related to cloud services such as resource allocation, security, virtual machine migration and quality of service (QoS) are also increasing. To overcome this, resource provisioning and stack adjusting were employed. In this paper, we suggest another approach that allocates resources with least waste and provides the greatest benefit. Here, the customer first submits a request for resources to the resource allocation manager, which forwards this request to the request tuner. It creates the charge and sends this to all resources connected in cloud system with the guide of grouping algorithm. After the GWO algorithm is applied for prioritization. The virtual machines are distributed for resources based on require therefore; the load on the server can be substantially reduced. In addition, allocating resources on virtual machines based on demand achieves a better response time and preparation time.

Keywords

Resource provisioning Security Virtual machine migration Quality of services Gray wolf optimization 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that we have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer ApplicationsSRMISTKancheepuram DistrictIndia
  2. 2.SRMISTKancheepuram DistrictIndia

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