مشاهده مشخصات مقاله
Job Failure Prediction in Grid Environment Based on Workload Characteristics
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Authors |
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Hamid Fadishei
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Hamid Saadatfar
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Hossein Deldari
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Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
The power of grid technology in aggregating
autonomous resources owned by several organizations
into a single virtual system has made it popular in
compute-intensive and data-intensive applications.
Complex and dynamic nature of grid makes failure of
users’ jobs fairly probable. Furthermore, traditional
methods for job failure recovery have proven costly
and thus a need to shift toward proactive and
predictive management strategies is necessary in such
systems. In this paper, an innovative effort is made to
predict the futurity of jobs submitted to a production
grid environment (AuverGrid). By analyzing grid
workload traces and extracting patterns describing
common failure characteristics, the success or failure
status of jobs during 6 months of AuverGrid activity
was predicted with around 96% accuracy. The quality
of services on grid can be improved by integrating the
result of this work into management services like
scheduling and monitoring. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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