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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dube, P. Jian Tan Li Zhang |
| Copyright Year | 2011 |
| Description | Author affiliation: IBM T. J. Watson Research Center, 19, Skyline Drive, Hawthorne NY 10532, USA (Dube, P.; Jian Tan; Li Zhang) |
| Abstract | Distributed systems with multi-stage workflows are characterized by multiple logical stages which can either execute sequentially or concurrently and a single stage can be executed on one or more physical nodes. Knowing the mapping of logical stages to physical nodes is important to characterize performance and study resource bottlenecks. Often due to the physical magnitude of such systems and complexity of the software, it is difficult to get detailed information about all the system parameters. We show that under light load conditions, the system can be well approximated using first order models and the hence simplifying the system identification problem. For general load, we develop a parameter estimation technique using maximum likelihood and propose a heuristic to solve it efficiently. |
| Starting Page | 3273 |
| Ending Page | 3282 |
| File Size | 248015 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781457721083 |
| ISSN | 08917736 |
| e-ISBN | 9781457721090 |
| e-ISBN | 9781457721076 |
| DOI | 10.1109/WSC.2011.6148024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Approximation methods Delay Load modeling Analytical models Servers Maximum likelihood estimation Complexity theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Modeling and Simulation Computer Science Applications Software |
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