Dynamic Load balancing in Cloud Computing Using Ant Colony Optimization

Authors(3) :-Samriddhi Gupta, Abhishek Bajpai, Dr. Neeraj Kumar Tiwari

As the cloud computing is a new style of computing over internet. It has many advantages along with some crucial issues to be resolved in order to improve reliability of cloud environment. These issues are related with the load management, fault tolerance and different security issues in cloud environment. In this paper the main concern is to prevent bottleneck in cloud computing. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time. Many methods to resolve this problem has been came into existence like Particle Swarm Optimization, hash method, genetic algorithms and several scheduling based algorithms are there. In this paper we are proposing a method based on Ant Colony optimization to resolve the problem of load balancing in cloud environment

Authors and Affiliations

Samriddhi Gupta
Department of Computer Applications, ShriRamswaroop Memorial University (SRMU ,UGC Affiliated), Lucknow, Uttar Pradesh, India
Abhishek Bajpai
Assistant Professor Computer Applications, ShriRamswaroop Memorial University (SRMU ,UGC Affiliated), Lucknow Uttar Pradesh, India
Dr. Neeraj Kumar Tiwari
Head Of Department Computer Application, ShriRamswaroop Memorial University(SRMU ,UGC Affiliated), Lucknow, Uttar Pradesh, India

Cloud computing, Advantages and Disadvantages , Ant Colony Optimization, Swarm intelligence

  1. Wayne Jansen, Timothy Grance, "Guidelines on Security and Privacy in Public Cloud Computing", National Institute of Standards and Technology Gaithersburg, January 2011.
  2. Jeep Ruiter, MartijnWarnier, "Privacy Regulations for Cloud Computing", Faculty of  Sciences, VU University Amsterdam International Journal of Web & Semantic Technology (IJWesT) Vol.3, No.2, April 2012
  3. DanchoDanchev,"Building and Implementing a successful Information Security Policy windowsecurity.com-WindowsSecurity Resources for IT admins.
  4. David Escalante and Andrew J. Korty, Cloud Services: Policy and Assessment,EDUCAUSE Review,vol. 46, no. 4 (July/August 2011)
  5. Richard N. Katz, "Looking at Clouds from All Sides Now", EDUCAUSE Review,vol. 45, no. 3 (May/June 2010): 32-45
  6. Anthony T.Velte, Toby J.Velte, Robert Elsenpeter, Cloud Computing A Practical Approach, TATA McGRAW-HILL Edition 2010.
  7. Martin Randles, David Lamb, A. Taleb-Bendiab, A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.
  8. Mladen A. Vouk, Cloud Computing Issues, Research and Implementations, Proceedings of the ITI 2008 30th Int. Conf. on Information Technology Interfaces, 2008, June 23-26.
  9. Ali M. Alakeel, A Guide to Dynamic Load Balancing in Distributed Computer Systems, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.6,June 2010.
  10. ibm.com/press/us/en/pressrelease/22613.wss
  11. http://www.amazon.com/gp/browse.html?node=201590011
  12. Martin Randles, EnasOdat, David Lamb, Osama Abu-Rahmeh and A. Taleb-Bendiab, "A Comparative Experiment in Distributed Load Balancing", 2009 Second International Conference on Developments in eSystems Engineering.
  13. Peter S. Pacheco, "Parallel Programming with MPI", Morgan Kaufmann Publishers Edition 2008
  14. MequanintMoges, Thomas G.Robertazzi, "Wireless Sensor Networks: Scheduling for Measurement and Data Reporting", August 31, 2005
  15. Ali M. Alakeel, A Guide to Dynamic Load Balancing in Distributed Computer Systems, IJCSNS International Journal of Computer Science and Network Security,VOL.10 No.6, June 2010.

Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 145-150
Manuscript Number : IJSRSET173343
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Samriddhi Gupta, Abhishek Bajpai, Dr. Neeraj Kumar Tiwari, " Dynamic Load balancing in Cloud Computing Using Ant Colony Optimization, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.145-150, May-June-2017. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET173343

Article Preview