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An Approach in using Differentiated Services to Maximize Profit in an Autonomic Computing System

by Chandrasekaran Kandasamy, Harish S. Venkatarama
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 8
Year of Publication: 2010
Authors: Chandrasekaran Kandasamy, Harish S. Venkatarama
10.5120/932-1309

Chandrasekaran Kandasamy, Harish S. Venkatarama . An Approach in using Differentiated Services to Maximize Profit in an Autonomic Computing System. International Journal of Computer Applications. 5, 8 ( August 2010), 22-26. DOI=10.5120/932-1309

@article{ 10.5120/932-1309,
author = { Chandrasekaran Kandasamy, Harish S. Venkatarama },
title = { An Approach in using Differentiated Services to Maximize Profit in an Autonomic Computing System },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 5 },
number = { 8 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume5/number8/932-1309/ },
doi = { 10.5120/932-1309 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:53:43.467403+05:30
%A Chandrasekaran Kandasamy
%A Harish S. Venkatarama
%T An Approach in using Differentiated Services to Maximize Profit in an Autonomic Computing System
%J International Journal of Computer Applications
%@ 0975-8887
%V 5
%N 8
%P 22-26
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ecommerce is an area where an Autonomic computing system could be very effectively deployed. The growth of ecommerce has created demand for services with financial incentives for service providers. Revenues accrue if the admitted requests are processed within the specified deadline and costs are incurred otherwise. In case of heavy load, it will not be possible to process all requests within the deadlines. It is beneficial to concentrate on those requests with which larger profits are associated. This paper describes an approach wherein a fuzzy controller is used which automatically allocates resources for priority requests in proportion to the number of priority requests. This is an illustration of the self-optimizing characteristic of an autonomic computing system.

References
  1. Salehie, M. and Tahvildari, L., “Autonomic Computing: Emerging trends and open problems,” in Proceedings of the Workshop on the Design and Evolution of Autonomic Application Software, 2005.
  2. Diao, Y., Hellerstein, J. L., Parekh, S., Griffith, R., Kaiser, G. E. and Phung, D., “A control theory foundation for self-managing computing systems,” IEEE Journal on Selected Areas in Communications, Vol. 23, No. 12, December 2005.
  3. Abdelzaher, T. F. and Bhatti, N., “Web server Quality of Service management by adaptive content delivery,” International Workshop on Quality of Service, June 1999.
  4. Lu, Y., Saxena, A. and Abdelzaher, T. F., “Differentiated caching services - A control-theoretical approach,” Proceedings of the International Conference on Distributed Computing Systems, April 2001.
  5. Abdelzaher, T. F., Shin, K. G. and Bhatti, N., “Performance guarantees for web server end-systems : A control-theoretical approach,” IEEE Transactions on Parallel and Distributed Systems, Vol. 13, No. 1, January 2002.
  6. Lu, Y., Abdelzaher, T. F., Lu, C. and Tao, G., “An adaptive control framework for QoS guarantees and its application to differentiated caching services,” Proceedings of the International Conference on Quality of Service, May 2002.
  7. Lu, C., Abdelzaher, T. F., Stankovic, J. A. and Son, S. H., “A feedback control approach for guaranteeing relative delays in web servers,” Proceedings of the IEEE Real-Time Technology and Applications Symposium, June 2001.
  8. Lu, Y., Abdelzaher, T. F. and Saxena, A., “Design, implementation and evaluation of differentiated caching services,” IEEE Transactions on Parallel and Distributed Systems, Vol. 15, No. 5, May 2004.
  9. Abdelzaher, T. F. and Lu, C., “Modeling and performance control of internet servers,” IEEE Conference on Decision and Control, December 2000.
  10. Parekh, S., Gandhi, N., Hellerstein, J., Tilbury, D., Jayram, T. and Bigus, J., “Using control theory to achieve service level objectives in performance management,” IFIP/IEEE International Symposium on Integrated Network Management, May 2001.
  11. Gandhi, N., Tilbury, D. M., Parekh, S. and Hellerstein, J., “Feedback control of a lotus notes server : Modeling and control design,” Proceedings of the American Control Conference, June 2001.
  12. Diao, Y., Gandhi, N., Hellerstein, J. L., Parekh, S. and Tilbury, D. M., “Using MIMO feedback control to enforce policies for interrelated metrics with application to the Apache web server,” Proceedings of the IEEE/IFIP Network Operations and Management, April 2002.
  13. Gandhi, N., Tilbury, D. M., Diao, Y., Hellerstein, J. L. and Parekh, S., “MIMO control of an Apache web server : Modeling and controller design,” Proceedings of the American Control Conference, May 2002.
  14. Sha, L., Liu, X., Lu, Y. and Abdelzaher, T. F., “Queuing model based network server performance control,” Proceedings of the IEEE Real-Time Systems Symposium, 2002.
  15. Lu, Y., Abdelzaher, T. F., Lu, C., Sha, L. and Liu, X., “Feedback control with queuing-theoretic prediction for relative delay guarantees in web servers,” Proceedings of the 9th IEEE Real-Time and Embedded Technology and Applications Symposium, 2003.
  16. Wei, J. and Xu, C. “Feedback control approaches for Quality of Service guarantees in web servers,” Fuzzy Information Processing Society, 2005.
  17. Wei, Y., Lin, C., Voigt, T. and Ren, F., “Fuzzy control for guaranteeing absolute delays in web servers,” Proceedings of the 2nd International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, August 2005.
  18. Qin, W. and Wang Q., “Feedback performance control for computer systems: an LPV approach,” Proceedings of the American Control Conference, June 2005.
  19. Qin, W., Wang, Q., Chen, Y. and Gautham, N., “A first-principles based LPV modeling and design for performance management of Internet web servers,” Proceedings of the American Control Conference, June 2006.
  20. Qin, W. and Wang, Q., “Modeling and control design for performance management of web servers via an LPV approach,” IEEE Transactions on Control Systems Technology, Vol. 15, No. 2, March 2007.
  21. Diao, Y., Hellerstein, J. L. and Parekh, S., “A business-oriented approach to the design of feedback loops for performance management,” Proceedings of the 12th IEEE International Workshop on Distributed Systems : Operations and Management, October 2001.
  22. Diao, Y., Hellerstein, J. L. and Parekh, S., “Using fuzzy control to maximize profits in service level management,” IBM Systems Journal, Vol. 41, No. 3, 2002.
  23. Diao, Y., Hellerstein, J. L. and Parekh, S., “Optimizing Quality of Service using fuzzy control,” Proceedings of Distributed Systems Operations and Management, 2002 – Springer
  24. Apache Software Foundation. http://www.apache.org.
Index Terms

Computer Science
Information Sciences

Keywords

Autonomic computing E-commerce Differentiated Fuzzy control

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