Back to Search
Start Over
PTNet: An efficient and green data center network
- Source :
- Journal of Parallel and Distributed Computing, Journal of Parallel and Distributed Computing, Elsevier, 2017, 107, pp.3-18. ⟨10.1016/j.jpdc.2017.03.007⟩, Journal of Parallel and Distributed Computing, Elsevier, 2017, 107, pp.3-18. 〈http://www.sciencedirect.com/science/article/pii/S0743731517300953?via%3Dihub〉. 〈10.1016/j.jpdc.2017.03.007 〉
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
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.
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 07437315 and 10960848
- Database :
- OpenAIRE
- Journal :
- Journal of Parallel and Distributed Computing, Journal of Parallel and Distributed Computing, Elsevier, 2017, 107, pp.3-18. ⟨10.1016/j.jpdc.2017.03.007⟩, Journal of Parallel and Distributed Computing, Elsevier, 2017, 107, pp.3-18. 〈http://www.sciencedirect.com/science/article/pii/S0743731517300953?via%3Dihub〉. 〈10.1016/j.jpdc.2017.03.007 〉
- Accession number :
- edsair.doi.dedup.....e920b14098505b970d2b2c5d3f5196b9
- Full Text :
- https://doi.org/10.1016/j.jpdc.2017.03.007⟩