Cloud Based Resource Management with Autoscaling

Authors

  • Dr. D .Ravindran  School of Computer Science, St. Joseph’s College, Trichirapalli, Tamil Nadu, India
  • Ab Rashid Dar  School of Computer Science, St. Joseph’s College, Trichirapalli, Tamil Nadu, India

Keywords:

Cloud Based Resource Management; Scalability, Autoscaling, Thresholds, Load Balancing

Abstract

With ever increasing growth and popularity in Cloud computing, it becomes now first choice and priority for every individual who access the internet, one of the key and advantageous features of cloud computing is its flexibility and scalability. Autoscaling offers the facility to the clients to scale up and scale down the resources as per their demands. As everything is taking place in automatic manner, so human intervention errors are less and reduce the manpower and costs. In this paper main ideas revolve around the problems in existing scalable cloud computing systems. In modern days management of resources is hot and most talked topic in cloud environment. Here in this paper a queuing concept is being employed with resource management algorithm to provision and deprovision of different available resources. The CPU thresholding defines the workloads which are being transferred across the cloud platform through a proper network with maximum bandwidth.

References

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Published

2016-08-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. D .Ravindran, Ab Rashid Dar, " Cloud Based Resource Management with Autoscaling, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.753-758, July-August-2016.