TY - GEN
T1 - VM migration for fault tolerance in spot instance based cloud computing
AU - Jung, Daeyong
AU - Chin, Sung Ho
AU - Chung, Kwang Sik
AU - Yu, Heon Chang
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - The cloud computing is a computing paradigm that users can rent computing resources from service providers as much as they require. A spot instance in cloud computing helps a user to utilize resources with less expensive cost, even if it is unreliable. When a user performs tasks with unreliable spot instances, failures inevitably lead to the delay of task completion time and cause a seriously deterioration in the QoS of users. To solve the problem, we propose the VM migration scheme to reduce the job waiting time. And in this scheme we use our previously proposed checkpointing method. When a running instance occurs the out-of-bid situation (failure), the VM on the failed instance is to a new instance. Our proposed VM migration scheme reduces the rollback time and the task waiting time when an instance occur the out-of-bid situation. The simulation results show that our scheme achieves performance improvements in the task execution time of 68.94%, 68.61%, and 46.35% compared with the hour-boundary checkpointing scheme, the rising edge-driven checkpointing scheme, and our previously proposed checkpointing scheme., respectively Further, our scheme outperforms the existing schemes in terms of the reduction the total costs per spot instances for a user's bid.
AB - The cloud computing is a computing paradigm that users can rent computing resources from service providers as much as they require. A spot instance in cloud computing helps a user to utilize resources with less expensive cost, even if it is unreliable. When a user performs tasks with unreliable spot instances, failures inevitably lead to the delay of task completion time and cause a seriously deterioration in the QoS of users. To solve the problem, we propose the VM migration scheme to reduce the job waiting time. And in this scheme we use our previously proposed checkpointing method. When a running instance occurs the out-of-bid situation (failure), the VM on the failed instance is to a new instance. Our proposed VM migration scheme reduces the rollback time and the task waiting time when an instance occur the out-of-bid situation. The simulation results show that our scheme achieves performance improvements in the task execution time of 68.94%, 68.61%, and 46.35% compared with the hour-boundary checkpointing scheme, the rising edge-driven checkpointing scheme, and our previously proposed checkpointing scheme., respectively Further, our scheme outperforms the existing schemes in terms of the reduction the total costs per spot instances for a user's bid.
KW - Cloud computing
KW - Fault tolerance
KW - Price history
KW - Spot instances
KW - VM migration
UR - http://www.scopus.com/inward/record.url?scp=84883333020&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883333020&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38027-3_15
DO - 10.1007/978-3-642-38027-3_15
M3 - Conference contribution
AN - SCOPUS:84883333020
SN - 9783642380266
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 142
EP - 151
BT - Grid and Pervasive Computing - 8th International Conference, GPC 2013 and Colocated Workshops, Proceedings
T2 - 8th International Conference on Grid and Pervasive Computing, GPC 2013
Y2 - 9 May 2013 through 11 May 2013
ER -