CFP last date
20 June 2024
Reseach Article

Dynamic Resource Allocation based on Priority in Service Oriented Systems

Published on May 2014 by D. Sivapriyanka, S. Santhanalakshmi
International Conference on Simulations in Computing Nexus
Foundation of Computer Science USA
ICSCN - Number 3
May 2014
Authors: D. Sivapriyanka, S. Santhanalakshmi

D. Sivapriyanka, S. Santhanalakshmi . Dynamic Resource Allocation based on Priority in Service Oriented Systems. International Conference on Simulations in Computing Nexus. ICSCN, 3 (May 2014), 15-18.

author = { D. Sivapriyanka, S. Santhanalakshmi },
title = { Dynamic Resource Allocation based on Priority in Service Oriented Systems },
journal = { International Conference on Simulations in Computing Nexus },
issue_date = { May 2014 },
volume = { ICSCN },
number = { 3 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 15-18 },
numpages = 4,
url = { /proceedings/icscn/number3/16161-1035/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 International Conference on Simulations in Computing Nexus
%A D. Sivapriyanka
%A S. Santhanalakshmi
%T Dynamic Resource Allocation based on Priority in Service Oriented Systems
%J International Conference on Simulations in Computing Nexus
%@ 0975-8887
%N 3
%P 15-18
%D 2014
%I International Journal of Computer Applications

Cloud Computing is a newly evolving platform that can be accessed by users as a service. It is used as storage for files, applications and infrastructure through the Internet. User can access everything as a service in on-demand basis named as pay-as-you-go model. Service-oriented Architecture (SOA) has been adopted in diverse circulated systems such as World Wide Web services, grid computing schemes, utility computing systems and cloud computing schemes. These schemes are called as Service Oriented Systems. One of the open issues is to prioritize service requests in dynamically altering environments where concurrent instances of processes may compete for assets. If the Cloud Service Provider(CSP) want to prioritize the request, CSP need to monitor the assets that the cloud services have and founded on the available assets the demanded assets can be assigned to the user. Hence, in this paper, propose an approach to find present status of the system by utilizing Dynamic Adaptation Approach. The major target of the research work is to prioritize the service demand, which maximizes the asset utilization in an effective kind that decreases the penalty function for the delayed service. The main concerns should be allotted to requests founded on promise violations of SLA objectives. While most existing work in the area of quality of service supervising and SLA modeling focuses normally on purely mechanical schemes, CSP consider service-oriented systems spanning both programs founded services and human actors. This approach deals with these challenges and assigns priority to the requested service to avoid service delay using Prioritization Algorithm.

  1. Peter Mell, Timothy Grance,"The NIST definition of Cloud Computing", Recommendations of the National Institute of Standards and Technology, U. S Department of Commerce, 800-145.
  2. Davide Tammaro, A. Doumith, Jean-Pauls Smets, Maurice Gagnaire, Sawsan Al Zahr, "Dynamic Resource Allocation in Cloud Environment Under Time-Variant Job Requests", 3rd IEEE International on Cloud Computing Technology and Science, 978-0-7695-4622-3/11
  3. Karthik Kumar, Jing Feng, Yamini Nimmagada, Yung-Hsiang Lu, "Resource Allocation for Real-Time Tasks using Cloud Computing", IEEE, 2011, 978-1-4577-0638-7 /11
  4. Bernd Freisleben, Dorian Minarolli, "Utility-based Resource Allocation for Virtual Machines in Cloud Computing", IEEE, 2011, 978-1-4577-0681-3/11
  5. Roman Khazankin, Daniel Schall, Schahram Dustdar Adaptive Request Prioritization in Dynamic Service-oriented Systems, 2011 IEEE International Conference on Services Computing, 978-0-7695-4462-5/11
  6. J. Lakshmi, Mohit Dhingra, S. K. Nandy (2012), "Resource Usage Monitoring in Clouds", IEEE.
  7. Akshatha M, K C Gouda, Radhika T V (2013), "Priority Based Resource Allocation Model for Cloud Computing",International Journal of Science, Engineering and Technology Research, Vol 2, Issue 1.
  8. Jaisankar N, Sendhil Kumar KS, Vignesh V (2013), "Resource Management and Scheduling in Cloud Environment", International Journal of Scientific and Research Publications, Vol 3, Issue 6.
  9. M. Armbrust et al. , "Above the Clouds: A Berkeley View of Cloud Computing," technical report, Univ. of California, Berkeley, Feb. 2009.
  10. L. Siegele, "Let It Rise: A Special Report on Corporate IT," The Economist, vol. 389, pp. 3-16, Oct. 2008.
  11. ] P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, "Xen and the Art of Virtualization," Proc. ACM Symp. Operating Systems Principles (SOSP '03), Oct. 2003.
  12. "Amazon elastic compute cloud (Amazon EC2)," http://aws. amazon. com/ec2/, 2012.
  13. C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, "Live Migration of Virtual Machines," Proc. Symp. Networked Systems Design and Implementation (NSDI '05), May 2005.
  14. A. Chandra, W. Gongt and P. Shenoy. Dynamic resource allocation for shared clusters using online measurements. International Conference on Measurement and Modeling of Computer Systems SIGMETRICS 2003.
  15. J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat and R. P. Doyle. Managing energy and server resources in hosting centers. Presented at 18th ACM Symposium on Operating Systems Principles (SOSP'01), October 21, 2001.
  16. M. N. Bennani and D. A. Menasce. Resource allocation for autonomic clusters using analytic performance models. Presented at Second International Conference on Autonomic Computing.
Index Terms

Computer Science
Information Sciences


Cloud Computing Sla Resource Allocation Csp Soa.