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Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications

Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu, Cheng Wu
Copyright: © 2010 |Volume: 2 |Issue: 4 |Pages: 11
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781613502549|DOI: 10.4018/jghpc.2010100101
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MLA

Zhang, Wen, et al. "Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications." IJGHPC vol.2, no.4 2010: pp.1-11. http://doi.org/10.4018/jghpc.2010100101

APA

Zhang, W., Cao, J., Zhong, Y., Liu, L., & Wu, C. (2010). Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications. International Journal of Grid and High Performance Computing (IJGHPC), 2(4), 1-11. http://doi.org/10.4018/jghpc.2010100101

Chicago

Zhang, Wen, et al. "Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications," International Journal of Grid and High Performance Computing (IJGHPC) 2, no.4: 1-11. http://doi.org/10.4018/jghpc.2010100101

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Abstract

Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model is hard to be derived. In relation to the model free characteristic, a fuzzy logic controller is designed with several simple yet robust rules. Performance of this controller is verified to out-perform classic controllers in response rapidness and less oscillation. An empirical formula on tuning an essential parameter is obtained to achieve better performance.

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