ICAR Research Data Repository for Knowledge Management
An online, derivative-free optimization approach to auto-tuning of computing systems
DSpace at IIT Bombay
View Archive Info| Field | Value | |
| Title |
An online, derivative-free optimization approach to auto-tuning of computing systems
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| Creator |
POOJARY, S
RAGHAVENDRA, R MANJUNATH, D |
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| Subject |
server
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| Description |
We develop an online optimisation framework for self tuning of computer systems. Towards this, we first discuss suitable objective functions. We then develop an iterative technique that is robust to noisy measurements of objective function and also requires fewer perturbations on the configuration. We essentially adapt the Nelder-Mead algorithm to work with constrained variables and also allow noisy measurements. Extensive experimental results on a queueing model and on an actual system illustrate the performance of our scheme.
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| Publisher |
SPRINGER-VERLAG BERLIN
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| Date |
2011-10-24T02:14:01Z
2011-12-15T09:11:22Z 2011-10-24T02:14:01Z 2011-12-15T09:11:22Z 2010 |
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| Type |
Proceedings Paper
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| Identifier |
DISTRIBUTED COMPUTING AND NETWORKING, PROCEEDINGS,5935,434-445
978-3-642-11321-5 0302-9743 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15304 http://hdl.handle.net/100/2028 |
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| Source |
11th International Conference on Distributed Computing and Networking,Kolkata, INDIA,JAN 03-06, 2010
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| Language |
English
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