TY - GEN
T1 - An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers
AU - Chi, Ce
AU - Ji, Kaixuan
AU - Marahatta, Avinab
AU - Zhang, Fa
AU - Wang, Youshi
AU - Liu, Zhiyong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - The size and amount of colocation data centers (colocations, for short) have been growing rapidly with the increasing popularity of cloud services, which ultimately causes a heavy burden on the power grid and the environment. However, even a colocation owner wishes to reduce its energy consumption, it may not be able to apply some effective energy saving techniques directly to the servers, since the servers belong to and are operated by its tenants. To solve the "uncoordinated relationship"issue between owners and tenants and achieve the energy reduction with a limited cost budget, an energy saving-oriented incentive mechanism, ESCo is proposed in this paper. Different from existing mechanisms that emphasize on minimizing the cost for the owners, our mechanism emphasizes on the maximization of the amount of energy saved by the tenants given a limited budget that the owner wants to pay for the energy saving. An algorithm is developed to realize a stable assignment in the mechanism. Trace-driven simulations based on real-world data are performed to verify the effectiveness of ESCo. The results show that ESCo can achieve 14.47% more energy saving than existing colocation incentive mechanisms.
AB - The size and amount of colocation data centers (colocations, for short) have been growing rapidly with the increasing popularity of cloud services, which ultimately causes a heavy burden on the power grid and the environment. However, even a colocation owner wishes to reduce its energy consumption, it may not be able to apply some effective energy saving techniques directly to the servers, since the servers belong to and are operated by its tenants. To solve the "uncoordinated relationship"issue between owners and tenants and achieve the energy reduction with a limited cost budget, an energy saving-oriented incentive mechanism, ESCo is proposed in this paper. Different from existing mechanisms that emphasize on minimizing the cost for the owners, our mechanism emphasizes on the maximization of the amount of energy saved by the tenants given a limited budget that the owner wants to pay for the energy saving. An algorithm is developed to realize a stable assignment in the mechanism. Trace-driven simulations based on real-world data are performed to verify the effectiveness of ESCo. The results show that ESCo can achieve 14.47% more energy saving than existing colocation incentive mechanisms.
KW - Colocation data center
KW - cloud computing
KW - energy efficiency
KW - mechanism design
UR - http://www.scopus.com/inward/record.url?scp=85093874615&partnerID=8YFLogxK
U2 - 10.1109/ICCCN49398.2020.9209724
DO - 10.1109/ICCCN49398.2020.9209724
M3 - Conference contribution
AN - SCOPUS:85093874615
T3 - Proceedings - International Conference on Computer Communications and Networks, ICCCN
BT - ICCCN 2020 - 29th International Conference on Computer Communications and Networks
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th International Conference on Computer Communications and Networks, ICCCN 2020
Y2 - 3 August 2020 through 6 August 2020
ER -