TY - GEN
T1 - Truthful strategy and resource integration for multi-tenant data center demand response
AU - Wang, Youshi
AU - Zhang, Fa
AU - Liu, Zhiyong
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Data centers’ demand response (DR) program has been paid more and more attention recently. As an important component of data centers, multi-tenant data centers (also called “colocation”) play a significant role in the demand response, especially in the emergency demand response (EDR). In this paper, we focus on how the colocation can perform better in the EDR program. We formulate the “uncoordinated relationship” in the colocation which is the key problem affecting energy efficiency, and propose a reward system to motivate tenants to join the EDR program, and a truthful strategy is developed to ensure the authenticity of tenants’ information. For achieving the overall coordination, we integrate tenants’ resources to increase the colocation’s resource utilization and optimize the whole colocation’s energy efficiency, then devise two algorithms to solve the actual resource migration and integration problem. We analyze the complexity of allocation model and two algorithms. Experimental results show that our solution is practical and efficient.
AB - Data centers’ demand response (DR) program has been paid more and more attention recently. As an important component of data centers, multi-tenant data centers (also called “colocation”) play a significant role in the demand response, especially in the emergency demand response (EDR). In this paper, we focus on how the colocation can perform better in the EDR program. We formulate the “uncoordinated relationship” in the colocation which is the key problem affecting energy efficiency, and propose a reward system to motivate tenants to join the EDR program, and a truthful strategy is developed to ensure the authenticity of tenants’ information. For achieving the overall coordination, we integrate tenants’ resources to increase the colocation’s resource utilization and optimize the whole colocation’s energy efficiency, then devise two algorithms to solve the actual resource migration and integration problem. We analyze the complexity of allocation model and two algorithms. Experimental results show that our solution is practical and efficient.
KW - Algorithm analysis
KW - Colocation
KW - Emergency demand response
KW - Truthful strategy design
KW - Uncoordinated relationship
UR - http://www.scopus.com/inward/record.url?scp=84947057151&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19647-3_24
DO - 10.1007/978-3-319-19647-3_24
M3 - Conference contribution
AN - SCOPUS:84947057151
SN - 9783319196466
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 259
EP - 270
BT - Frontiers in Algorithmics - 9th International Workshop, FAW 2015, Proceedings
A2 - Yap, Chee
A2 - Wang, Jianxin
PB - Springer Verlag
T2 - 9th International Workshop on Frontiers in Algorithmics, FAW 2015
Y2 - 3 July 2015 through 5 July 2015
ER -
