Multi-criteria task scheduling in distributed systems based on fuzzy TOPSIS
| Autor: | Saeideh Salimpour, Ahmed Azab, Mirsaeid Hosseini Shirvani, Negin Amirsoleimani |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Rate-monotonic scheduling
business.industry Computer science Distributed computing Cloud computing 02 engineering and technology Dynamic priority scheduling Total cost of ownership Round-robin scheduling Fair-share scheduling Scheduling (computing) Fixed-priority pre-emptive scheduling 020204 information systems Server Two-level scheduling 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Resource management business |
| Zdroj: | CCECE |
| DOI: | 10.1109/ccece.2017.7946721 |
| Popis: | Distributed systems consist of several heterogeneous computing devices. In such systems, the total cost of ownership (TCO) includes capital expenditure such as purchasing of equipment like servers, switches, etc. and operational expenditure such as human salary, electricity bills, etc. Thusly, power consumption is a big portion of operational expenditure. The high rate of power wastage is directly related to inefficient resource scheduling. In this paper, a multi-objective task scheduling algorithm is proposed to figure out multi-criteria resource management in distributed systems by leveraging fuzzy TOPSIS tool as a strong approach in multi-criteria optimization ambit. The result of implementation shows that our approach can well compromise between criteria based on their weights. |
| Databáze: | OpenAIRE |
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