1. PTNet: An efficient and green data center network
- Author
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Gouissem, A., Aldhahir, N., Baccour, E., Foufou, Sebti, Hamila, R., Tari, Z., Zomaya, A.Y., Department of Electrical Engineering, College of Engineering, Qatar University, PO BOX 2713, Doha, Qatar, Qatar University, Department of Electrical and Computer Engineering - University of Texas (ECE), University of Texas at Austin [Austin], Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique de Bourgogne [Dijon] (LIB), Université de Bourgogne (UB), Laboratoire de micro-optoelectronique et nanostructures, Université de Monastir - University of Monastir (UM), School of Science, RMIT University, Melbourne, Australia, CSE Department, College of Engineering, Qatar University, PO BOX 2713, Doha, Qatar, Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, School of Information Technologies [Sydney] ( IT ), The University of Sydney [Sydney], NPRP from Qatar National Research Fund (a member of Qatar Foundation) 6-718-2-298, School of Information Technologies [Sydney] (IT), and The University of Sydney
- Subjects
[ INFO ] Computer Science [cs] ,Computer Networks and Communications ,Computer science ,Distributed computing ,02 engineering and technology ,Network topology ,[ INFO.INFO-AO ] Computer Science [cs]/Computer Arithmetic ,Theoretical Computer Science ,03 medical and health sciences ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,0302 clinical medicine ,Artificial Intelligence ,Robustness (computer science) ,Energy saving ,Server ,Architecture ,0202 electrical engineering, electronic engineering, information engineering ,[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] ,[INFO]Computer Science [cs] ,ComputingMilieux_MISCELLANEOUS ,Average path length ,Interconnection ,Energy ,[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,business.industry ,[INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic ,Scalability ,020206 networking & telecommunications ,Data center network ,Networking hardware ,[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] ,Hardware and Architecture ,030220 oncology & carcinogenesis ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Data center ,[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC] ,business ,Software ,Computer network - Abstract
International audience; In recent years, data centers have witnessed an exponential growth for hosting hundreds of thousands of servers as well as to accommodating a very large demand for resources. To fulfill the required level of demand, some approaches tackled network aspects so to host a huge number of servers while others focused on delivering rapid services to the clients by minimizing the path length between any two servers. In general, network devices are often designed to achieve 1:1 oversubscription. Alternatively, in a realistic data center environment, the average utilization of a network could vary between 5% and 25%, and thus the energy consumed by idle devices is wasted. This paper proposes a new parameterizable data center topology, called PTNet. PTNet offers a gradual scalability that interconnects small to large networks covering different ranges of sizes. This new interconnection network provides also a small path length between any two servers even in large sized data centers. PTNet does not only reduce path length and latency, it also uses a power-aware routing algorithm which saves up to 40% of energy with an acceptable computation time. In comparison to existing solutions (e.g. Flatnet, BCube, DCell and Fat-tree), PTNet shows substantial improvements in terms of capacity, robustness, cost-effectiveness and power efficiency: this improvement reaches up to 50% in some cases. (C) 2017 Elsevier Inc. All rights reserved.
- Published
- 2017