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Reputation Evaluation Framework Based on QoS in Grid Economy Environments

Reputation Evaluation Framework Based on QoS in Grid Economy Environments

Guanfeng Liu
Copyright: © 2009 |Pages: 14
ISBN13: 9781605663708|ISBN10: 1605663700|ISBN13 Softcover: 9781616924683|EISBN13: 9781605663715
DOI: 10.4018/978-1-60566-370-8.ch012
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MLA

Liu, Guanfeng. "Reputation Evaluation Framework Based on QoS in Grid Economy Environments." Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, edited by Lizhe Wang, et al., IGI Global, 2009, pp. 219-232. https://doi.org/10.4018/978-1-60566-370-8.ch012

APA

Liu, G. (2009). Reputation Evaluation Framework Based on QoS in Grid Economy Environments. In L. Wang, J. Chen, & W. Jie (Eds.), Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments (pp. 219-232). IGI Global. https://doi.org/10.4018/978-1-60566-370-8.ch012

Chicago

Liu, Guanfeng. "Reputation Evaluation Framework Based on QoS in Grid Economy Environments." In Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, edited by Lizhe Wang, Jinjun Chen, and Wei Jie , 219-232. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-370-8.ch012

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Abstract

This chapter mainly introduces some recent researches of reputation evaluation methods in Grid economy. The GRACE (Grid Architecture for Computational Economy architecture) is adopted to explain some mechanisms in the Grid economy for its clearly inner modules architecture. In addition, several new developed modules based on GRACE architecture are detailed discussed and two of them are laid morn emphasis on by us, which are the RCM (Reputation Control Module) and distributed reputation control architectures based on VOD (Virtual Organizational Domain). The inner communication and workflow of them are shown in this chapter. Furthermore, through experiments results, the authors discover the profit of Grid nodes and tasks execution success rate are all improved by adding these new modules.

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