HERO: Hierarchical energy optimization for data center networks
Document Type
Conference Proceeding
Publication Date
12-1-2012
Abstract
With the rapid growth of data center networks in providing a myriad of services and applications to store, access, and process data, the power consumption of data center networks has become critically important and must be efficiently managed. In this paper, we discuss the power optimization of data center networks in a hierarchical perspective. We establish a two-level power optimization model to reduce the power consumption of data center networks by switching off network switches and links while still guaranteeing full connectivity and maximum link utilization. After having shown that the addressed problem falls in the class of capacity constraint multi-commodity flow problems, we design several simple heuristic algorithms to solve the problem. Our simulations show that hierarchical energy optimization can effectively save power consumption in data center networks. © 2012 IEEE.
Identifier
84871983069 (Scopus)
ISBN
[9781457720529]
Publication Title
IEEE International Conference on Communications
External Full Text Location
https://doi.org/10.1109/ICC.2012.6363830
ISSN
15503607
First Page
2924
Last Page
2928
Recommended Citation
Zhang, Yan and Ansari, Nirwan, "HERO: Hierarchical energy optimization for data center networks" (2012). Faculty Publications. 17931.
https://digitalcommons.njit.edu/fac_pubs/17931
