Grid Service Reliability Modeling and Optimal Task Scheduling Considering Fault Recovery

Guo, Song; Huang, Hong‐Zhong; Wang, Zhonglai; Xie, Min

doi:10.1109/tr.2010.2104190

Cited by 60 publications

(19 citation statements)

References 31 publications

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“…To model the reliability, we assume that the failure occurrence in resources is approximated by a Poisson distribution [32][33][34][35]. According to this model, the probability of occurrence of x failures in resource within unit of time is modeled as where is the failure rate of .…”

Section: Workflow and Grid Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Reliability-driven scheduling of time/cost-constrained grid workflows

Kianpisheh

Charkari

Kargahi

2016

Future Generation Computer Systems

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Section: Workflow and Grid Modelsmentioning

confidence: 99%

“…This probability is given as the probability that no failure occurs in until the execution of be completed [32][33][34]. Thus, regarding the failure model of resources we have;…”

Section: Workflow and Grid Modelsmentioning

confidence: 99%

Reliability-driven scheduling of time/cost-constrained grid workflows

Kianpisheh

Charkari

Kargahi

2016

Future Generation Computer Systems

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“…In next step, the authors used Bayesian networks to model the MRST and estimate reliability of the Grid. Guo et al [19] modeled reliability of Grid services based on Local Node Fault Recovery (LNFR) mechanism and demonstrated the influence of fault recovery on Grid service reliability. Hussin et al [21] modeled reliability in resource management for distributed systems through adaptive reinforcement learning.…”

Section: Related Workmentioning

confidence: 99%

Ranking Grid-sites based on their Reliability for Successfully Executing Jobs of Given Durations

Nadeem

2015

IJCNIS

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Abstract-Today's Grids include resources (referred as Grid-site s) from different domains including dedicated production resources, resources from university labs, and even P2P environments. Grid high level services, like schedulers, resource managers, etc. need to know the reliability of the available Grid-sites to select the most suitable from them. Modeling reliability of a Grid-site for successful execution of a job requires prediction of Grid-site availability for the given duration of job execution as well as possibility of successful execution of the job. Predicting Grid-site availability is complex due to different availability patterns, resource sharing policies implemented by resource owners, nature of domain the resource belongs to (e.g. P2P etc.), and its maintenance etc. To give a solution, we model reliability of Grid-site in terms of prediction of its availability and possibility of job success. Our availability predictions incorporate past patterns of the Grid-site availability using pattern recognition methods. To estimate possibility of job success, we consider historical traces of job execution. The experiments conducted on a trace of real Grid demonstrate the effectiveness of our approach for ranking Grid-sites based on their reliability for executing jobs successfully.

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“…Network reliability has emerged as a hot issue in many areas, including electrical power network [1], public transportation system [2], communication network [3], grid computing system [4,5], cloud computing system [6], etc. Most of the researches on the network reliability have focused on topological connectivity of the network, and many evaluation methods have been proposed [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Testing mission-oriented network reliability via hierarchical mission network

Luo

Chen

Xing

et al. 2012

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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Network systems have become more and more complex with the fast evolving technologies in order to accomplish those missions that are too complicated to be finished by any stand-alone system. The question of how reliable these network systems are facing those complex missions requires our prior attentions. Different from a stand-alone system carrying out one mission at a time, the network systems deal with many missions simultaneously. It is natural to model these missions as a mission network. In this paper, we employed a two-layer network model, including mission network and physical network, to test the network reliability against its missions, called missionoriented network reliability. As observed by many researchers, the hierarchy is one of the most common phenomena in complex networks. By quantifying the hierarchies of the mission network and the physical network, we investigated the effects of the coupling between the hierarchies of these two networks on the mission-oriented network reliability. The simulation results show that the positive coupling between the hierarchies of the twolayer networks leads to the same positive correlation between the mission-oriented reliability and the significance of the hierarchy of the mission network; and similarly, the negative coupling between the hierarchies results in the negative correlation between the network reliability and the significance of the hierarchy of the mission network.

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Grid Service Reliability Modeling and Optimal Task Scheduling Considering Fault Recovery

Cited by 60 publications

References 31 publications

Reliability-driven scheduling of time/cost-constrained grid workflows

Reliability-driven scheduling of time/cost-constrained grid workflows

Ranking Grid-sites based on their Reliability for Successfully Executing Jobs of Given Durations

Testing mission-oriented network reliability via hierarchical mission network

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