Performance diagnosis for SOA on hybrid cloud using the Markov network model

Zhenqiu Huang, Kwei Jay Lin, Jing Zhang, Weiran Nie, Lina Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Many SOA applications are now migrating to cloud servers, due to cloud's low cost provision, elasticity for growth, and better availability. Although cloud service providers have implemented reliable management system for their infrastructure, hybrid cloud users often lack easy monitoring and diagnosis facilities to discover the root cause of end-to-end QoS violations. However, the cause must be identified before the auto scaling of provisioned resources within cloud servers can be conducted. In this paper, we investigate the locality property of distributed services, and propose the Markov network based monitoring and diagnosis support in the Llama Cloud middleware. We present the diagnosis problem definition, diagnosis model, and the algorithm for runtime diagnosis. Our experiment results show that the proposed Markov network based method outperforms the Bayesian network based diagnosis method under different workloads and service locality patterns.

Original languageEnglish
Title of host publicationProceedings - IEEE 6th International Conference on Service-Oriented Computing and Applications, SOCA 2013
PublisherIEEE Computer Society
Pages17-24
Number of pages8
ISBN (Print)9781479927012
DOIs
StatePublished - 2013
Externally publishedYes
Event6th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2013 - Kauai, HI, United States
Duration: 16 12 201318 12 2013

Publication series

NameProceedings - IEEE 6th International Conference on Service-Oriented Computing and Applications, SOCA 2013

Conference

Conference6th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2013
Country/TerritoryUnited States
CityKauai, HI
Period16/12/1318/12/13

Keywords

  • Distributed System Diagnosis
  • Hybrid Cloud Accountability
  • Markov Network Application
  • Service QoS Management

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