Fault-tolerant virtual cluster experiments on federated sites using BonFIRE

Gómez, A.; Carril, Luis M.; Valin, R.; Mouriño, J. Carlos; Cotelo, Carmen

doi:10.1016/j.future.2013.12.027

Cited by 10 publications

(7 citation statements)

References 8 publications

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“…In Spain, the approach of Gomez et. al [7], proposed a multi-cloud FT framework that was capable to continue working if any of the cloud sites fail and delivered the results on the due date.…”

Section: Background mentioning

confidence: 99%

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H-RADIC: A Fault Tolerance Framework for Virtual Clusters on Multi-Cloud Environments

Royo

Villamayor

Castro-León

et al. 2018

JC&ST

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Even though the cloud platform promises to be reliable, several availability incidents prove that it is not. How can we be sure that a parallel application finishes it´s execution even if a site is affected by a failure? This paper presents H-RADIC, an approach based on RADIC architecture, that executes parallel applications protected by RADIC in at least 3 different virtual clusters or sites. The execution state of each site is saved periodically in another site and it is recovered in case of failure. The paper details the configuration of the architecture and the experiment´s results using 3 clusters running NAS parallel applications protected with DMTCP, a very well-known distributed multi-threaded checkpoint tool. Our experiments show that by adding a cluster protector it will be possible to implement the next level in the hierarchy, where the first level in the RADIC hierarchy works as an observer at a site level. In adition, the experiments showed that the protection implementation is out of the critical path of the application and it depends on the utilized resources.

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Section: Background mentioning

confidence: 99%

“…al [6] and Gomez et. al [7] in Fault-Tolerance (FT) and took advantage of the elasticity (easy provisioning of "hardware") of cloud computing.…”

Section: Introduction mentioning

confidence: 99%

H-RADIC: A Fault Tolerance Framework for Virtual Clusters on Multi-Cloud Environments

Royo

Villamayor

Castro-León

et al. 2018

JC&ST

View full text Add to dashboard Cite

show abstract

“…In another work (Gómeza, Carril, Valin, Mouriño, & Cotelo, 2014), Gomeza and colleagues suggested virtual cluster architecture to tolerate faults in the cloud IaaS platform. Cloud sites failure can be recovered through deploying of virtual clusters on two different geographical locations.…”

Section: Related Workmentioning

confidence: 99%

Investigation Of Amazon And Google For Fault Tolerance Strategies In Cloud Computing Services

Al-Raheym

Açan²,

Pusatli³

2016

AJIT-e

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Cloud computing has recently become an attractive topic due to its ability to offer information technology solutions through virtual machines as on-demand services to share and consume resources over the Internet. As a result of rapid development in such services, the necessity of fault tolerance in the cloud is a major concern with reliability, availability and dependability which are more critical to this new service type. This work investigates techniques and means of tolerating cloud services as well as cloud customers' systems/enterprises execution over the cloud safe from failures. Failures in cloud enabled services should be expected to occur hence they should be handled. The essential features of implementing fault tolerance strategies guarantee the business continuity, avoid financial lost, recovering systems from failures, and provide disaster recovery as well. The specific focus is to explore scenarios of avoiding/recovering from failures through redundancy, checkpoint and replication. Commercial IaaS providers such as Amazon's AWS and Google's GCE are taken as examples as they tolerate their infrastructure from failures; in this way a robust architecture with fault tolerance property could be built for a system/enterprise. Hence, general conceptual steps with fault tolerance considerations have been proposed.

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“…However, even if it attempts to solve VM reliability problems, the existing method often fails to establish the optimization of VM fault tolerance time and effective consolidation of VM workload state on fault tolerance. The optimization of VM fault tolerance time was studied by using tolerance methods and models [5] to tolerate faults upon the assumption of possible errors. However, without the allocation and consolidation of VM workloads, the approach frequently caused fault tolerance of VMs, which then affected the system performance of cloud platforms.…”

Section: Introductionmentioning

confidence: 99%

Study on Fault Tolerance Method in Cloud Platform based on Workload Consolidation Model of Virtual Machine

Li¹,

Liu²,

Tong³

2017

JESTR

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The fault tolerance method of virtual machines (VM) guarantees reliability to the service capability of cloud platforms. VM workloads are dynamic and uncertain, and thus, they affect the reliability and task processing capability of entire cloud platforms. In this study, a fault tolerance method based on the VM workload consolidation model was proposed to solve problems concerning the reliability and task processing capability of cloud platforms caused by VM workloads, thus improving the reliability of VMs and overall performance of cloud platforms. First, the method was analyzed on the basis of the distinct relationship of VM workload and VM reliability and task processing capability. Then, the workload state of VM was predicted and analyzed by linear regression using VM workload monitoring data, and the VM workload consolidation algorithm was constructed based on expected workload constraint and optimization of fault tolerance time. Finally, the fault tolerance method based on the VM workload consolidation model was compared with the Radom method and the Max method. Research results demonstrate the potential of the proposed method to improve VM reliability in cloud platforms by 20% and 47% compared with those for the Radom and Max methods, respectively. In the same workload phase, the task completion rate of the proposed method increased significantly (15% and 30%, and 22% and 30%), and the percentages were higher than those for the Radom and Max methods, respectively. Moreover, the proposed method shortened task response time. This study concludes that the workload consolidation of VMs can increase the reliability and task processing capability of VMs. This proposed method can provide technological support to the fault tolerance of VMs in cloud platforms.

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Fault-tolerant virtual cluster experiments on federated sites using BonFIRE

Cited by 10 publications

References 8 publications

H-RADIC: A Fault Tolerance Framework for Virtual Clusters on Multi-Cloud Environments

H-RADIC: A Fault Tolerance Framework for Virtual Clusters on Multi-Cloud Environments

Investigation Of Amazon And Google For Fault Tolerance Strategies In Cloud Computing Services

Study on Fault Tolerance Method in Cloud Platform based on Workload Consolidation Model of Virtual Machine

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