Two Risk-aware Resource Brokering Strategies in Grid Computing:Broker-driven vs. User-driven Methods

Junseok Hwang (), Jihyoun Park () and Jörn Altmann

No 201063, TEMEP Discussion Papers from Seoul National University; Technology Management, Economics, and Policy Program (TEMEP)

Abstract: 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.

Keywords: Grid Computing; Risk Management; Self-Insurance; Risk-Performance Preference Specification (search for similar items in EconPapers)
JEL-codes: C02 C15 C61 C63 D83 L11 L15 L86 L99 M15 M21 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2010-03, Revised 2010-03
New Economics Papers: this item is included in nep-cmp, nep-ias and nep-rmg
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Published in ICISTM 2010, International Conference on Information Systems, Technology and Management, Bangkok, Thailand, 2010

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http://temep-repec.my-groups.de/DP-63.pdf First version, 2010 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:snv:dp2009:201063

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