ABSTRACT
Cloud computing and storage solutions enable end users and enterprises to store their data and process their services in third party data centers. The fast growth of data center in size and in number makes them become huge energy consumption points. Some researches claim that 70% energy for a data center focus on server running and cooling. That is why, recent researches proposed to turn off certain switches in data center where little traffic flows through. However, when those switches are turned off, the structure of the data center becomes vulnerable to failures due to low connectivities between servers. This paper aims to overcome this weakness by proposing a way to build a data center where unnecessary switches can still be turned off while the data center remains survivable upon any single failure. The simulation results show that the proposed solution makes data center survivable while still saving a lot of energy.
- Mininet. http://mininet.org.Google Scholar
- Openflow. https://www.opennetworking.org/sdn-resources/openflow/.Google Scholar
- M. Al-Fares, A. Loukissas, and A. Vahdat. A scalable, commodity data center network architecture. In Proceedings of the ACM SIGCOMM 2008 Conference on Data Communication, SIGCOMM '08, pages 63--74, New York, NY, USA, 2008. ACM. Google ScholarDigital Library
- Anthesis. Data Center Efficiency Assessment. Technical Report IP:14-08-A, US Natural Resources Defense Council, August 2014.Google Scholar
- C. Clos. A study of non-blocking switching networks. Bell System Technical Journal, The, 32(2):406--424, March 1953.Google Scholar
- FEPM. FEMP Data Center Program Overview. Technical Report DOE/EE-1191, Federal Energy Management Program, March 2015.Google Scholar
- B. Heller, S. Seetharaman, P. Mahadevan, Y. Yiakoumis, P. Sharma, S. Banerjee, and N. McKeown. Elastictree: Saving energy in data center networks. In Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation, NSDI'10, pages 17--17, Berkeley, CA, USA, 2010. USENIX Association. Google ScholarDigital Library
- T. N. Huu, N. P. Ngoc, H. T. Thu, T. T. Ngoc, D. N. Minh, V. G. Nguyen, H. N. Tai, T. N. Quynh, D. Hock, and C. Schwartz. Modeling and experimenting combined smart sleep and power scaling algorithms in energy-aware data center networks. Simulation Modelling Practice and Theory, 39:20--40, 2013. S. I. Energy efficiency in grids and clouds.Google ScholarCross Ref
- C. Leiserson. Fat-trees: Universal networks for hardware-efficient supercomputing. Computers, IEEE Transactions on, C-34(10):892--901, Oct 1985. Google ScholarDigital Library
- P. Mahadevan, P. Sharma, S. Banerjee, and P. Ranganathan. A power benchmarking framework for network devices. In Proceedings of the 8th International IFIP-TC 6 Networking Conference, NETWORKING '09, pages 795--808, Berlin, Heidelberg, 2009. Springer-Verlag. Google ScholarDigital Library
- K. K. Nguyen, M. Cheriet, M. Lemay, V. Reijs, A. Mackarel, and A. Pastrama. Environmental-aware virtual data center network. Computer Networks, 56(10):2538--2550, 2012. Green communication networks. Google ScholarDigital Library
- N. H. Thanh, B. D. Cuong, T. D. Thien, P. N. Nam, N. Q. Thu, T. T. Huong, and T. M. Nam. Ecodane: A customizable hybrid testbed for green data center networks. In Advanced Technologies for Communications (ATC), 2013 International Conference on, pages 312--317, Oct 2013.Google ScholarCross Ref
- M. To and P. Neusy. Unavailability analysis of long-haul networks. IEEE Journal on Selected Areas in Communications, 12(1):100--109, Jan. 1994. Google ScholarDigital Library
Recommendations
On energy consumption of switch-centric data center networks
Data center network (DCN) is the core of cloud computing and accounts for 40% energy spend when compared to cooling system, power distribution and conversion of the whole data center (DC) facility. It is essential to reduce the energy consumption of DCN ...
Trade-off between Performance and Energy Management in Autonomic and Green Data Centers
NISS '19: Proceedings of the 2nd International Conference on Networking, Information Systems & SecurityIn recent years, energy optimization of cloud data centers got important consideration since data centers in activity frequently expend huge energy rates. In fact, the expanding processing capacity of data centers and its complexity, increases ...
Evaluating Impact of Live Migration on Data Center Energy Saving
CLOUDCOM '14: Proceedings of the 2014 IEEE 6th International Conference on Cloud Computing Technology and ScienceEnergy efficiency of cloud data centers is of great concern today and has been tackled by many researchers. Dynamic VM placement is a well-known strategy to improve energy efficiency of a data center. Virtual machines (VMs) under light load are ...
Comments