QoS in Grid Computing

QoS in Grid Computing

Zhihui Du, Zhili Cheng, Xiaoying Wang, Chuang Lin
ISBN13: 9781605661841|ISBN10: 1605661848|EISBN13: 9781605661858
DOI: 10.4018/978-1-60566-184-1.ch008
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MLA

Du, Zhihui, et al. "QoS in Grid Computing." Handbook of Research on Grid Technologies and Utility Computing: Concepts for Managing Large-Scale Applications, edited by Emmanuel Udoh and Frank Zhigang Wang, IGI Global, 2009, pp. 75-83. https://doi.org/10.4018/978-1-60566-184-1.ch008

APA

Du, Z., Cheng, Z., Wang, X., & Lin, C. (2009). QoS in Grid Computing. In E. Udoh & F. Wang (Eds.), Handbook of Research on Grid Technologies and Utility Computing: Concepts for Managing Large-Scale Applications (pp. 75-83). IGI Global. https://doi.org/10.4018/978-1-60566-184-1.ch008

Chicago

Du, Zhihui, et al. "QoS in Grid Computing." In Handbook of Research on Grid Technologies and Utility Computing: Concepts for Managing Large-Scale Applications, edited by Emmanuel Udoh and Frank Zhigang Wang, 75-83. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-184-1.ch008

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Abstract

This chapter first summarizes popular terms of QoS related concepts and technologies in grid computing, including SLA, End-to-End QoS Provision and Virtualization. Then a three layered general grid QoS provision model based on MetaServices is proposed. Operating mechanisms are discussed in detail, and the model can maintain grid QoS by defining QoS requirements in different levels and solve the QoS problems hierarchically. A prototype named PMGrid is designed and implemented based on the QoS provision model. PMGrid is a grid system for astronomy data processing. The results show that the PMGrid can maintain the QoS requirements of astronomy data processing.

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