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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | JunSeong Kim Lilja, D.J. |
| Copyright Year | 1999 |
| Description | Author affiliation: Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA (JunSeong Kim) |
| Abstract | The management of networks has often been ignored in network-based computing systems due to the difficulty of estimating application programs' network latency and bandwidth requirements, and the difficulty of predicting the system network load. To help address this deficiency and thereby support dynamic network resource scheduling, we propose the network status predictor (NSP). This tool is a general and extensible network load monitor that introduces lower and upper latency prediction bounds. We evaluate its ability to dynamically predict TCP/IP end-to-end latency, with varying network loads using a cluster of SGI multiprocessors interconnected with a fibre channel network. Our results show that a combination of numerical predictors can be dynamically selected based on the network's recent state to produce better predictions than when using a single predictor alone. |
| Starting Page | 372 |
| Ending Page | 378 |
| File Size | 213522 |
| Page Count | 7 |
| File Format | |
| ISBN | 0769501435 |
| DOI | 10.1109/IPPS.1999.760503 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-04-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic scheduling Intelligent networks Computer networks Delay Monitoring Processor scheduling Resource management Accuracy History Engineering management |
| Content Type | Text |
| Resource Type | Article |
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