TY - GEN
T1 - Improving Cost-Efficiency through Failure-Aware Server Management and Scheduling in Cloud
AU - Zhao, Laiping
AU - Sakurai, Kouichi
PY - 2013/1/1
Y1 - 2013/1/1
N2 - We examine the problem of managing a server farm in a cost-efficient way that reduces the cost caused by server failures, according to an Infrastructure-as-a-Service model in cloud. Specifically, failures in cloud systems are so frequent that severely affect the normal operation of job requests and incurring high penalty cost. It is possible to increase the net revenue through reducing the energy cost and penalty by leveraging failure predictiors. First, we incorporate the malfunction and recovery states into the server management process, and improve the cost-efficiency of each server using failure predictor-based proactive recovery. Second, we present a revenue-driven cloud scheduling algorithm, which further increases net revenue in collaboration with server management algorithm. The formal and experimental analysis manifests our expected net revenue improvement.
AB - We examine the problem of managing a server farm in a cost-efficient way that reduces the cost caused by server failures, according to an Infrastructure-as-a-Service model in cloud. Specifically, failures in cloud systems are so frequent that severely affect the normal operation of job requests and incurring high penalty cost. It is possible to increase the net revenue through reducing the energy cost and penalty by leveraging failure predictiors. First, we incorporate the malfunction and recovery states into the server management process, and improve the cost-efficiency of each server using failure predictor-based proactive recovery. Second, we present a revenue-driven cloud scheduling algorithm, which further increases net revenue in collaboration with server management algorithm. The formal and experimental analysis manifests our expected net revenue improvement.
UR - http://www.scopus.com/inward/record.url?scp=84904600410&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904600410&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-04519-1_2
DO - 10.1007/978-3-319-04519-1_2
M3 - Conference contribution
AN - SCOPUS:84904600410
SN - 9783319045184
T3 - Communications in Computer and Information Science
SP - 23
EP - 38
BT - Cloud Computing and Services Science - 2nd International Conference, CLOSER 2012, Revised Selected Papers
PB - Springer Verlag
T2 - 2nd International Conference on Cloud Computing and Services Science, CLOSER 2012
Y2 - 18 April 2012 through 21 April 2012
ER -