Replication and Checkpoint Schemes for Task-Fault Tolerance in Campus-Wide Mobile Grid

Choi, Sook Kyong; Lee, Jong Hyuk; Yu, Heon Chang; Lee, HwaMin

doi:10.1007/978-3-642-27180-9_56

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…To this end, we are currently developing a job execution mobile Grid middleware for master-worker applications based on Android 2.3 and higher, which is a platform version used by more than half of all active devices. 8 . Finally, we will analyze different payment schemes for encouraging mobile device owners to share their mobile device resources [14].…”

Section: Discussionmentioning

confidence: 99%

“…However, the success of computational mobile Grid heavily depends on the ability of using mobile device resources without draining the batteries. Therefore, the selection of the resource to use is very important [8,12,18,30]. This problem is still open mainly because the information needed for taking optimal scheduling decisions is not usually available in real mobile Grids.…”

Section: Related Workmentioning

confidence: 99%

“…9 iOS battery discharge notification: http://developer.apple.com/library/ios/#documentation/UIKit/ ut = c i dr (8) However, the discharge rate is actually not lineal [48] and hence the estimation heavily varies from event to event. Thus, the SEAS uses a modified version of the estimator that returns an average remaining time instead of returning the previously defined remaining time.…”

Section: Appendix: Simple Energy Aware Scheduler (Seas)mentioning

confidence: 99%

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Energy-efficient job stealing for CPU-intensive processing in mobile devices

2012

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Appendix: Simple Energy Aware Scheduler (Seas)mentioning

confidence: 99%

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Energy-efficient job stealing for CPU-intensive processing in mobile devices

2012

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“…The replication also is exploited in fault tolerance in grid . The replication and checkpointing can also be hybridized for more efficiency . In addition to these strategies, we can also find other fault tolerance strategies such as the migration that can be used to improve the reliability in reactive and proactive systems and even to improve the performances.…”

Section: Introductionmentioning

confidence: 99%

Optimization of checkpointing/recovery strategy in cloud computing with adaptive storage management

Meroufel

Belalem

2018

Concurrency and Computation

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Summary Cloud Computing is a type of distributed system that is usually based on the services offered to the user based on SLA contract. In this case, the implementation of a fault‐tolerant system that ensures the reliability and the services continuity becomes a major requirement. In this paper, we propose a fault tolerance strategy based on checkpointing and replication. Our approach uses a smart checkpoint infrastructure for cloud computing tasks. The checkpoints are stored in alternative already paid VMs. This allows resuming a task execution faster and cheaper after a node crash. Since checkpoints are distributed and replicated, our approach increases also the system reliability. The experimental results show the effectiveness of the proposed strategy in term of energy consumption, SLA (System Level Aggregation) violation, and reliability.

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Replication and Checkpoint Schemes for Task-Fault Tolerance in Campus-Wide Mobile Grid

Cited by 2 publications

References 12 publications

Energy-efficient job stealing for CPU-intensive processing in mobile devices

Energy-efficient job stealing for CPU-intensive processing in mobile devices

Optimization of checkpointing/recovery strategy in cloud computing with adaptive storage management

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