Two Risk-aware Resource Brokering Strategies in Grid Computing:Broker-driven vs. User-driven Methods
Grid computing evolves toward an open computing environment, which is characterized by highly diversified resource providers and systems. As the control of each computing resource becomes difficult, the security of users¡¯ job is often threatened by various risks occurred at individual resources in the network. This paper proposes two risk-aware resource brokering strategies: self-insurance and risk-performance preference specification. The former is a broker-driven method and the latter a user-driven method. Two mechanisms are analyzed through simulations. The simulation results show that both methods are effective for increasing the market size and reducing risks, but the user-driven technique is more cost-efficient.
|Date of creation:||Mar 2010|
|Date of revision:||Mar 2010|
|Publication status:||Published in ICISTM 2010, International Conference on Information Systems, Technology and Management, Bangkok, Thailand, 2010|
|Contact details of provider:|| Postal: |
Web page: http://temep.snu.ac.kr/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Leigh Tesfatsion, 2006.
"Agent-Based Computational Economics: A Constructive Approach to Economic Theory,"
Computing in Economics and Finance 2006
527, Society for Computational Economics.
- Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880 Elsevier.
- Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Staff General Research Papers 12514, Iowa State University, Department of Economics.
- Robert Tobias & Carole Hofmann, 2004. "Evaluation of free Java-libraries for social-scientific agent based simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(1), pages 6.
When requesting a correction, please mention this item's handle: RePEc:snv:dp2009:201063. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jorn Altmann)
If references are entirely missing, you can add them using this form.