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  • 标题:Performance Diagnosis Using Bigtable Monitoring for Cloud Computing System
  • 本地全文:下载
  • 作者:A.Sheraj Dheen ; P.Kumar
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:6
  • 页码:2093-2099
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Reduplication services are allocated in individual physical nodes in the cloud. They can be amassed into various types of services, serving large amount of user requests. The existing diagnosis techniques for such distributed systems can't effectively solve. In fine -grained performance abnormality is still lacking. Production cloud systems should be completely unaided. CloudDiag systematically collects the point-to-point tracking data from each physical node in the cloud and classifies into different categories according to call tree. It then employs a customized Map-Reduce algorithm to proactively analyze the tracing data. Specifically, it assembles the tracing data of each user request, and classifies the tracing data into different categories according to call trees of the requests.
  • 关键词:abnormality; BigTable; Cloud; CloudDiag ; Performance diagnosis; Pont-to-Point
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