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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, K. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Comput. Sci., State Univ. of New York, New Paltz, NY (Li, K.) |
| Abstract | We evaluate the average-case performance of three approximation algorithms for online non-clairvoyant scheduling of parallel tasks with precedence constraints. We show that for a class of wide task graphs, when task sizes are uniformly distributed in the range [1..C], the online non-clairvoyant scheduling algorithm LL-SIMPLE has an asymptotic average-case performance bound of $M/(M-(3-(1+1/C)^{C+1})C-1),$ where M is the number of processors. For arbitrary probability distributions of task sizes, we present numerical and simulation data to demonstrate the accuracy of our general asymptotic average-case performance bound. We also report extensive experimental results on the average-case performance of online non-clairvoyant scheduling algorithms LL-GREEDY and LS. Algorithm LL-GREEDY has better performance than LL-SIMPLE by using an improved algorithm to schedule independent tasks in the same level. Algorithm LS produces even better schedules due to break of boundaries among levels. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 242977 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424409098 |
| DOI | 10.1109/IPDPS.2007.370579 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-26 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance analysis Scheduling algorithm Processor scheduling Optimal scheduling Time factors Approximation algorithms Random variables Concurrent computing Probability distribution Algorithm design and analysis |
| Content Type | Text |
| Resource Type | Article |
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