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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Maoyuan Zhang Ruixuan Li Zhengding Lu Chunyan Zou |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan (Maoyuan Zhang; Ruixuan Li; Zhengding Lu) |
| Abstract | The problem is that the parallel scheduling strategies are minimally supported in distributed environments. The well-known Coffman-Graham algorithm is highly effective but applied only for the sample case when all tasks have the same execution time and not applied for the distributed systems. In this paper, an expanding task graph and an expanding Coffman-Graham algorithm, which orients to the distributed systems and can be applied for the case when the tasks have the different execution time, are proposed. Like the well-known Coffman-Graham algorithm, the ECG algorithm is proved to be an efficient scheduling algorithm for the distributed systems, through presenting and deducting one theorem and two corollaries |
| Starting Page | 484 |
| Ending Page | 487 |
| File Size | 178513 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769527361 |
| DOI | 10.1109/PDCAT.2006.29 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-04 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Scheduling algorithm Processor scheduling Optimal scheduling Concurrent computing Computer science Environmental management Technology management Parallel processing Programming profession |
| Content Type | Text |
| Resource Type | Article |
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