Abstract
Motivated by a data center setting, we study the problem of joint dispatching and server sleep state control in a system consisting of two queues in parallel. Using the theory of Markov decision processes and a novel lookahead approach, we explicitly determine near-optimal control policies that minimize a combination of QoE costs, energy costs, and wear and tear costs due to switching. Guidelines are provided as to when these combined policies are most effective.
Original language | English |
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Title of host publication | Measurement, Modelling and Evaluation of Computing Systems - 19th International GI/ITG Conference, MMB 2018, Proceedings |
Publisher | Springer |
Pages | 127-141 |
Number of pages | 15 |
Volume | 10740 LNCS |
ISBN (Print) | 9783319749464 |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A4 Conference publication |
Event | International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems - Erlangen, Germany Duration: 26 Feb 2018 → 28 Feb 2018 Conference number: 19 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10740 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems |
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Abbreviated title | MMB |
Country/Territory | Germany |
City | Erlangen |
Period | 26/02/2018 → 28/02/2018 |
Keywords
- Data centers
- Dynamic control
- Lookahead techniques
- Markov decision processes
- Queueing systems