Abstract
As large data centers become the dominant energy consumers, green has become increasingly significant. The mainstream insight behind green routing designs is to aggregate diverse flows into a subset of network devices such that idle devices can be shut off or turned into sleep mode. However, this approach may not ensure the network performance primarily. In this paper, we present three dedicated algorithms to provide each node pair k paths precisely, which not only aim at realizing the green network eventually, but also try to ensure the network performance originally. The results of comprehensive simulations corroborate that three methods can accomplish the goal of energy-saving from the perspective of insuring both fault-tolerance and appropriate responsive-time.
L. Luo—This work is partially supported by the National 973 Basic Research Program under No.2014CB347800, the National Natural Science Foundation of Outstanding Youth Fund under No. 61422214 and the National Natural Science Foundation of China under No.61170284.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Deke, G., Junjie, X., Xiaomin, Z., Wei, W.: Exploiting Efficient and Scalable Shuffle Transfers in Future Data Center Networks. IEEE Transactions on Parallel and Distributed Systems (TPDS) 26(4), 997–1009 (2015)
Deke, G., Tao, C., Dan, L., Mo, L., Yunhao, L., Guihai, C.: Expansible and Cost-Effective Network Structures for Data Centers Using Dual-port Servers. IEEE Transactions on Computers (TC) 62(7), 1303–1317 (2013)
Deke, G., Hanhua, C., Yuan, H., Hai, J., Chao, C., Honghui, C., Zhen, S., Guangqi, H.: KCube: A Novel Architecture for Interconnection Networks. Elsevier Information Processing Letter 110(18–19), 821–825 (2010)
Deke, G., Chaoling, L., Jie, W., Xiaolei, Z.: DCube: A Family of High Performance Modular Data Centers Using Dual-Port Servers. Elsevier Journal of computer communication 53, 13–25 (2014)
Koomey, J.: Growth in data center electricity use 2005 to 2010. A report by Analytical Press, completed at the request of The New York Times (2011)
Gao, P.X., Curtis, A.R., Wong, B., Keshav, S.: It’s not easy being green. ACM SIGCOMM Computer Communication Review 42(4), 211–222 (2012)
Greenberg, A., Hamilton, J., Maltz, D.A., Patel, P.: The cost of a cloud: research problems in data center networks. ACM SIGCOMM computer communication review 39(1), 68–73 (2008)
Shang, Y., Li, D., Xu, M.: Energy-aware routing in data center network. In: Proceedings of the First ACM SIGCOMM Workshop on Green Networking, pp. 1–8. ACM (2010)
Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future generation computer systems 28(5), 755–768 (2012)
Wang, L., Zhang, F., Arjona Aroca, J., Vasilakos, A.V., Zheng, K., Hou, C., Li, D., Liu, Z.: GreenDCN: a general framework for achieving energy efficiency in data center networks. IEEE Journal on Selected Areas in Communications 32(1), 4–15 (2014)
Gupta, M., Singh, S.: Greening of the internet. In: Proceedings of the 2003 Conference on Applications, Technologies, Architectures, and Protocols for Cmputer Communications, pp. 19–26. ACM (2003)
Guo, C., Lu, G., Li, D., Wu, H., Zhang, X., Shi, Y., Tian, C., Zhang, Y., Lu, S.: BCube: a high performance, server-centric network architecture for modular data centers. ACM SIGCOMM Computer Communication Review 39(4), 63–74 (2009)
Guo, C., Wu, H., Tan, K., Shi, L., Zhang, Y., Lu, S.: Dcell: a scalable and fault-tolerant network structure for data centers. ACM SIGCOMM Computer Communication Review 38(4), 75–86 (2008)
Li, D., Shang, Y., Chen, C.: Software defined green data center network with exclusive routing. In: INFOCOM, 2014 Proceedings IEEE, pp. 1743–1751. IEEE (2014)
Nedevschi, S., Popa, L., Iannaccone, G., Ratnasamy, S., Wetherall, D.: Reducing network energy consumption via sleeping and rate-adaptation. In: NSDI, vol. 8, pp. 323–336 (2008)
Chiaraviglio, L., Matta, I.: Greencoop: cooperative green routing with energy-efficient servers. In: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, pp. 191–194. ACM (2010)
Lombardo, A., Panarello, C., Schembra, G.: Achieving energy savings and QoS in internet access routers. ACM SIGMETRICS Performance Evaluation Review 38(3), 76–80 (2011)
Heller, B., Seetharaman, S., Mahadevan, P., Yiakoumis, Y., Sharma, P., Banerjee, S., McKeown, N.: ElasticTree: saving energy in data center networks. In: NSDI, vol. 10, pp. 249–264 (2010)
Singla, A., Hong, C.Y., Popa, L., Godfrey, P.B.: Jellyfish: networking data centers randomly. In: NSDI, vol. 12, pp. 17–17 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Shi, L., Guo, X., Luo, L., Qin, Y. (2015). Green and Fault-Tolerant Routing in Data Centers. In: Wang, Y., Xiong, H., Argamon, S., Li, X., Li, J. (eds) Big Data Computing and Communications. BigCom 2015. Lecture Notes in Computer Science(), vol 9196. Springer, Cham. https://doi.org/10.1007/978-3-319-22047-5_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-22047-5_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22046-8
Online ISBN: 978-3-319-22047-5
eBook Packages: Computer ScienceComputer Science (R0)