Thermal-aware cloud middleware to reduce cooling needs
| Autor: | Georges Da Costa, Violaine Villebonnet |
|---|---|
| Přispěvatelé: | Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture (IRIT-SEPIA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), Institut National Polytechnique de Toulouse - INPT (FRANCE), Centre National de la Recherche Scientifique - CNRS (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
Computer science Distributed computing Système d'exploitation Réseaux et télécommunications Cloud computing 02 engineering and technology computer.software_genre Scheduling (computing) [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] Architectures Matérielles Server 0202 electrical engineering electronic engineering information engineering Thermal-aware business.industry Scheduling Control reconfiguration 020206 networking & telecommunications Energy consumption Systèmes embarqués Cloud middleware Energy efficiency Virtual machine 020201 artificial intelligence & image processing The Internet [INFO.INFO-ES]Computer Science [cs]/Embedded Systems [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS] business Cooling computer Efficient energy use |
| Zdroj: | WETICE Conference (WETICE), 2014 IEEE 23rd International IEEE International Conference on Collaboration Technologies and Infrastructures-WETICE 2014 IEEE International Conference on Collaboration Technologies and Infrastructures-WETICE 2014, Jun 2014, Parma, Italy. pp. 115-120 WETICE |
| Popis: | International audience; As we are living in a data-driven world and directed toward internet, the need for data enter is growing. The main limitation for building cloud infrastructures is their energy consumption. Moreover, their conception is not perfect because servers are not the ones consuming all the power, cooling systems are responsible for half of the consumption. Cooling costs can be reduced by intelligent scheduling, and in our case through virtual machines migrations. In this paper, we propose a dynamic reconfiguration based on evolution of temperatures and load of the servers. The idea is to share heat production to reduce cooling costs and consolidate the workload when possible to reduce servers costs. The challenge resides in satisfying these opposite objectives. We tested our algorithm on an experimental test bed, and achieve to cap the temperature of the data enter room while not forgetting to optimize the server use, and without impacting on applications performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|