Modeling Green-Aware Job Scheduling Problem in Decentralized Data Centers
| Autor: | Masaki Samejima, Ha Tuan Minh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Rate-monotonic scheduling
Job scheduler Mathematical optimization Job shop scheduling Computer science 020206 networking & telecommunications 02 engineering and technology Dynamic priority scheduling Flow shop scheduling computer.software_genre Fair-share scheduling Multiprocessor scheduling Two-level scheduling 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Science::Operating Systems computer |
| Zdroj: | IIAI-AAI |
| DOI: | 10.1109/iiai-aai.2016.136 |
| Popis: | Because energy consumption in data centers is getting larger, the use of green energy for running data centers draws attention as a mean of reducing energy cost. The amount of green energy generated near data centers depends on environment of the data centers. When more green energy is generated, more jobs should be processed by using the generated green energy to reduce energy cost. This policy of scheduling job is called green-aware job scheduling. On the other hand, it is necessary to minimize delay of processing jobs from their deadline. In this paper, we propose a model of green-aware job scheduling based on 2-objective optimization problem to minimize energy cost and delay. The model shows that the green-aware job scheduling problem consists of linear objective functions, constraints of linear inequalities and integer constraints. By relaxing the integer constraints, it is possible to obtain approximated solutions of the problem. |
| Databáze: | OpenAIRE |
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