TY - GEN
T1 - Energy-price-driven request dispatching for cloud data centers
AU - Sakamoto, Takumi
AU - Yamada, Hiroshi
AU - Horie, Hikaru
AU - Kono, Kenji
PY - 2012/10/2
Y1 - 2012/10/2
N2 - Cloud services make use of data center resources so that hosted applications can utilize them as needed. To offer a large amount of computational resources, cloud service providers manage tens of geographically distributed data centers. Since each data center is made up of hundreds of thousands of physical machines, energy consumption is a major concern for cloud service providers. The electric cost imposes significant financial overheads on those companies and pushes up the price for the cloud users. This paper presents an energy-price-driven request dispatcher that forwards client requests to data centers in an electric-cost-saving way. In our technique, mapping nodes, which are used as authoritative DNS servers, forward client requests to data centers in which the electric price is relatively lower. We additionally develop a policy that gradually shifts client requests to electrically cheaper data centers, taking into account application latency requirements and data center loads. Our simulation-based results show that our technique can reduce electric cost by 15 % more than randomly dispatching client requests.
AB - Cloud services make use of data center resources so that hosted applications can utilize them as needed. To offer a large amount of computational resources, cloud service providers manage tens of geographically distributed data centers. Since each data center is made up of hundreds of thousands of physical machines, energy consumption is a major concern for cloud service providers. The electric cost imposes significant financial overheads on those companies and pushes up the price for the cloud users. This paper presents an energy-price-driven request dispatcher that forwards client requests to data centers in an electric-cost-saving way. In our technique, mapping nodes, which are used as authoritative DNS servers, forward client requests to data centers in which the electric price is relatively lower. We additionally develop a policy that gradually shifts client requests to electrically cheaper data centers, taking into account application latency requirements and data center loads. Our simulation-based results show that our technique can reduce electric cost by 15 % more than randomly dispatching client requests.
KW - Cloud Computing
KW - Electric cost savings
KW - Peer-to-peer
KW - Request dispatching
UR - http://www.scopus.com/inward/record.url?scp=84866754367&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866754367&partnerID=8YFLogxK
U2 - 10.1109/CLOUD.2012.115
DO - 10.1109/CLOUD.2012.115
M3 - Conference contribution
AN - SCOPUS:84866754367
SN - 9780769547558
T3 - Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012
SP - 974
EP - 976
BT - Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012
T2 - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012
Y2 - 24 June 2012 through 29 June 2012
ER -