Cited By
View all- Hong JLi LHan CJin BYang QYang Z(2016)Optimizing Hadoop Framework for Solid State Drives2016 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2016.11(9-17)Online publication date: Jun-2016
ABC: dynamic configuration management for MicroBrick-based cloud computing systems
Pages 25 - 26
Abstract
In designing a high-performance cloud computing platform, it is important to support diverse system resource requirements of various cloud computing services/applications in a scalable fashion. In this poster, we propose an intelligent middleware for our prototype cloud computing system which automatically changes configurations of modules for high performance under varying cloud service/application workload. Our initial evaluation results show that efficient resource management during run time is a key enabling technique for developing high-performance cloud computing systems.
References
[1]
Min, J., Min, J., La, K., Roh K., and Kim, J., MicroBrick: A Flexible Storage Building Block for Cloud Storage Systems, in Proc. of the USENIX Conference on File and Storage Technologies, Poster, 2014.
[2]
HiBench. https://github.com/hibench.
[3]
YCSB. https://github.com/brianfrankcooper/YCSB.
[4]
Zhang, Y., and West, R., Process-Aware Interrupt Scheduling and Accounting, in Proc. of the IEEE International Real-Time Systems Symposium, 2006.
Index Terms
- ABC: dynamic configuration management for MicroBrick-based cloud computing systems
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Published In
December 2014
49 pages
ISBN:9781450332200
DOI:10.1145/2678508
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 December 2014
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Middleware '14
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Overall Acceptance Rate 203 of 948 submissions, 21%
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Cited By
View all- Hong JLi LHan CJin BYang QYang Z(2016)Optimizing Hadoop Framework for Solid State Drives2016 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2016.11(9-17)Online publication date: Jun-2016
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