Abstract
EnergeTIC is a recent industrial research project carried out in Grenoble on optimizing energy consumption in data-centres. The efficient management of a data-centre involves minimizing energy costs while ensuring service quality. We study the problem formulation proposed by EnergeTIC. First, we focus on a key sub-problem: a bin packing problem with linear costs associated with the use of bins. We study lower bounds based on Linear Programming and extend the bin packing global constraint with cost information. Second, we present a column generation model for computing the lower bound on the original energy management problem where the pricing problem is essentially a cost-aware bin packing with side constraints. Third, we show that the industrial benchmark provided so far can be solved to near optimality using a large neighborhood search.
| Original language | English |
|---|---|
| Title of host publication | Principles and Practice of Constraint Programming - 19th International Conference, CP 2013, Proceedings |
| Pages | 47-62 |
| Number of pages | 16 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 19th International Conference on Principles and Practice of Constraint Programming, CP 2013 - Uppsala, Sweden Duration: 16 Sep 2013 → 20 Sep 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8124 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 19th International Conference on Principles and Practice of Constraint Programming, CP 2013 |
|---|---|
| Country/Territory | Sweden |
| City | Uppsala |
| Period | 16/09/13 → 20/09/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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