VM Migration for Fault Tolerance in Spot Instance Based Cloud Computing

Jung, Daeyong; Chin, Sung Ho; Chung, Kwang Sik; Yu, Heon Chang

doi:10.1007/978-3-642-38027-3_15

Cited by 11 publications

(10 citation statements)

References 5 publications

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“…read VIIRS data (8) read CrIS data (9) DHP.publish(job id, "ckpt") (10) compute CrIS LOS vector in ECEF (11) compute VIIRS POS vector in ECEF (12) DHP.publish(job id, "ckpt") (13) match VIIRS to CrIS (14) write product (15) DHP.publish(job id, "finished") The second experiment assumes that the input data granules are available on a remote server. So the application needs to first hop to read the input data.…”

Section: Nbs To Enable Ftc In Sdsmentioning

confidence: 99%

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NavP: Enabling Navigational Programming for Science Data Processing via Application-Initiated Checkpointing

Pan¹,

Jain²

2021

Preprint

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Section: Nbs To Enable Ftc In Sdsmentioning

confidence: 99%

“…In order to make checkpoint invocation cost-effective, Jung et al [15] predicts termination (outof-bid) and a price hike for spot instances, based on the history. They use Virtual Machine-based (VM-based) checkpoint and migration to avoid any waiting time at restart.…”

Section: Related Workmentioning

confidence: 99%

NavP: Enabling Navigational Programming for Science Data Processing via Application-Initiated Checkpointing

Pan¹,

Jain²

2021

Preprint

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“…Jung et al [101] propose a VM migration scheme using Checkpointing to solve the task waiting time problem. A fault tolerant mechanism usually triggers the VM migration before a failure event.…”

Section: Task Resubmissionmentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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Reliability and high availability have always been a major concern in distributed systems. Providing highly available and reliable services in cloud computing is essential for maintaining customer confidence and satisfaction and preventing revenue losses. Although various solutions have been proposed for cloud availability and reliability, but there are no comprehensive studies that completely cover all different aspects in the problem. This paper presented a ‘Reference Roadmap’ of reliability and high availability in cloud computing environments. A big picture was proposed which was divided into four steps specifying through four pivotal questions starting with ‘Where?’, ‘Which?’, ‘When?’ and ‘How?’ keywords. The desirable result of having a highly available and reliable cloud system could be gained by answering these questions. Each step of this reference roadmap proposed a specific concern of a special portion of the issue. Two main research gaps were proposed by this reference roadmap.

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“…Using this approach allows to decrease the checkpointing overhead in SPs. Jung et al [15] proposed a checkpointing strategy to migrate preempted VMs.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, quality of service can be compromised on these instances because the provider can shutdown them when the instance price goes above the user's bid, preempting the applications. Many work present how to handle preemption by using fault tolerant techniques based on VM migration [13]- [15], based on redundancy [16], as well as how to estimate the bid value of spot VMs [17]- [21].…”

mentioning

confidence: 99%

Reducing Costs in Cloud Application Execution Using Redundancy-Based Scheduling

Vieira

Bittencourt

Madeira

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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Public providers around the world offer computing, storage, and communication services as virtual machines in a pay-per-use model. From the user perspective, it is important to choose providers and charging models to run distributed applications with quality of service at lower costs. In this work, we introduce an innovative strategy to decrease the cost of VM requests scheduling on different public cloud providers. The mechanism is based on redundancy with a mixed utilization of reserved and spot virtual machine (VM) instances, and it allows the balancing between cost and availability. We implemented a QoS-aware architecture that allows the scheduling of applications considering different VM charging models. Then, we propose an integer linear program (ILP) and a heuristic algorithm to compute the QoS-aware scheduling. Experimental results show that the proposed approach computes schedules with smaller costs than alternative approaches.

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VM Migration for Fault Tolerance in Spot Instance Based Cloud Computing

Cited by 11 publications

References 5 publications

NavP: Enabling Navigational Programming for Science Data Processing via Application-Initiated Checkpointing

NavP: Enabling Navigational Programming for Science Data Processing via Application-Initiated Checkpointing

Reliability and high availability in cloud computing environments: a reference roadmap

Reducing Costs in Cloud Application Execution Using Redundancy-Based Scheduling

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