IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET1624169                                                     


Cloud Based Resource Management with Autoscaling

Authors(2):

Dr. D .Ravindran, Ab Rashid Dar
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
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.

Dr. D .Ravindran, Ab Rashid Dar

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

  1. Fang Liu, Jin Tong, Jian Mao, Robert Bohn, John Messina, Lee Badger and Dawn Leaf,"NIST Cloud Computing Reference Architecture", NIST Special Publication 500-292, September 2011.
  2. Kriushanth, L. Arockiam and G. JustyMirobi, "Auto Scaling in Cloud Computing: An Overview", International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 7, July 2013, ISSN (Print) : 2319-5940,ISSN (Online) : 2278-1021.
  3. Tania Lorido-Botran, Jose Miguel-Alonso , Jose A. Lozano, "A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments", ARTICLE in JOURNAL OF GRID COMPUTING DECEMBER 2014, Impact Factor: 1.51 • DOI: 10.1007/s10723-014-9314-7.
  4. ChenhaoQu, Rodrigo N. Calheiros, and RajkumarBuyya,"A Reliable and Cost-Ecient Auto-Scaling System for Web Applications Using Heterogeneous Spot Instances", Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia, September 17, 2015.
  5. Gunpriya Makkar, Pankaj Deep Kaur,"A Review of Load Balancing in Cloud Computing", Guru Nanak Dev University, Jalandhar, India, Volume 5, Issue 4, 2015 ISSN: 2277 128X.
  6. K C Gouda, AnuragPatro, Dines Dwivedi ,NagarajBhat, "Virtualization Approaches in Cloud Computing",International Journal of Computer Trends and Technology (IJCTT),volume 12 Issue 4–June 2014.
  7. Gunpriya Makkar, Pankaj Deep Kaur," A Review of Load Balancing in Cloud Computing",International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 4, 2015 ISSN: 2277 128X.

Publication Details

Published in : Volume 2 | Issue 4 | July-August - 2016
Date of Publication Print ISSN Online ISSN
2016-08-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
753-758 IJSRSET1624169   Technoscience Academy

Cite This Article

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.
URL : http://ijsrset.com/IJSRSET1624169.php