CFP last date
20 January 2025
Reseach Article

Cost and Time Evaluation of Load Balancing and Service Broker Strategies in Multiple Data Centers

by Shipra Gupta, Indu Kashyap
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 17
Year of Publication: 2014
Authors: Shipra Gupta, Indu Kashyap
10.5120/18302-9239

Shipra Gupta, Indu Kashyap . Cost and Time Evaluation of Load Balancing and Service Broker Strategies in Multiple Data Centers. International Journal of Computer Applications. 103, 17 ( October 2014), 33-38. DOI=10.5120/18302-9239

@article{ 10.5120/18302-9239,
author = { Shipra Gupta, Indu Kashyap },
title = { Cost and Time Evaluation of Load Balancing and Service Broker Strategies in Multiple Data Centers },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 17 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number17/18302-9239/ },
doi = { 10.5120/18302-9239 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:51.504117+05:30
%A Shipra Gupta
%A Indu Kashyap
%T Cost and Time Evaluation of Load Balancing and Service Broker Strategies in Multiple Data Centers
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 17
%P 33-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is a boon for almost every sector as it reduces the overall expenditure by making I.T. infrastructure, services and platform on “on-demand” basis. The “pay as you go” policy of cloud technology enables the users to use and pay for the services and computing infrastructure only when they need it without worrying about the installation and underlying hardware or software infrastructure. Data centers are located at different locations and provide services to the users in their closest proximity. As the user has to pay for the service utilization, so selection of data center plays an important role for maximum resource utilization at minimum expenditure and best response time. An important feature in cloud is that according to user location and demand, the closest and the cheapest data center is assigned in that region. In this paper, the authors have analyzed the existing service broker policies i.e., Closest Data center, optimize response time, and reconfigure dynamically load, in data center selection.

References
  1. Fang Liu, Jin Tong, Jian Mao, Robert Bohn, John Messina, Lee Badger and Dawn Leaf, NIST Cloud Computing Reference Architecture, National Institute of Standards and Technology.
  2. Eric Keller, Jakub Szefer, Jennifer Rexford and Ruby B. Lee, NoHype: Virtualized Cloud Infrastructure without the Virtualization, ISCA’10, June 19–23, 2010, Saint-Malo, France.
  3. http://www.cloudbus.org/cloudsim : (Cloud Analyst can be downloaded from here)
  4. Saif U. R. Malik, Samee U. Khan, and Sudarshan K. Srinivasan, Modeling and Analysis of State-of-the-Art VM-Based Cloud Management Platforms, IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 1, NO. 1, JANUARY- JUNE 2013
  5. Joseph Doyle, Robert Shorten, and Donal O’Mahony, Stratus: Load Balancing the Cloud for Carbon Emissions Control, IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 1, NO. 1, JANUARY-JUNE 2013
  6. Jenn-Wei Lin, Chien-Hung Chen, and J. Morris Chang, QoS-Aware Data Replication for Data-Intensive Applications in Cloud Computing Systems, IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 1, NO. 1, JANUARY- JUNE 2013
  7. Xinyu Lei, Xiaofeng Liao, Tingwen Huang, Huaqing Li, and Chunqiang Hu, Outsourcing Large Matrix Inversion Computation to a Public Cloud, IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 1, NO. 1, JANUARY- JUNE 2013
  8. Kousik Dasgupta, Brototi Mandal, Paramartha Dutta, Jyotsna Kumar Mondal, and Santanu Dame, “A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing” , International Conference on Computational Intelligence: Modeling Techniques and Applications (CIMTA) 2013, Elsevier Science Direct
  9. Dhinesh Babu L.D., P. Venkata Krishna, “Honey bee behavior inspired load balancing of tasks in cloud computing environments”, Applied Soft Computing, elsevier.com/locate/asoc
  10. Johan Tordsson, Rubén S. Montero, Rafael Moreno-Vozmediano, Ignacio M. Llorente, Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers, Future Generation Computer Systems www.elsevier.com/locate/fgcs
  11. Bhathiya Wickremasinghe, Rodrigo N. Calheiros, and Rajkumar Buyya, “CloudAnalyst: A CloudSim-based Visual Modeller for Analyzing Cloud Computing Environments and Applications”, 24th International Conference on Advance e Information Networking and Applications (AINA) IEEE Computer Society, 2010
  12. Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi, “Mastering Cloud Computing”, Mc Graw Hill Publication, 2013
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing data center load balancing service broker User base Region