CÁC BÀI BÁO KHOA HỌC 12:06:34 Ngày 24/04/2024 GMT+7
Anomaly detection and its application in grid

Size and complexity of grid computing systems increase rapidly. Failures can have adverse effect on application executing on the system. Thus, failure information should be provided to the scheduler to make scheduling decisions that reduce effect of failures. In this paper, we survey anomaly detection methods and present in details window-based method together with experiments to evaluate it. The experiments show that window-based method is efficient in detecting anomalies. It may be implemented in a monitoring service. We introduce architecture of services to make failure information available for other services in grid. Using these services, grid schedulers and job/execution managers can get additional information for matching and handling task failures.


 Nguyen T.T., Do T.D., Nguyen D.T., Nguyen H.C., Doan T.T., Trinh G.T.
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  Từ khóa : Adverse effects; Anomaly detection; Anomaly detection methods; Failure informations; Grid computing systems; Grid monitoring; Grid schedulers; Job monitoring; Monitoring services; Scheduling decisions; Window-based detection method; Applications; Electrostatic actuators; Scheduling; Windows; Grid computing