DocumentCode :
169285
Title :
Multivariate quality control chart for monitoring SLA of workflow applications
Author :
WenAn Tan ; Yong Sun ; Leer Li ; Anqiong Tang
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2014
fDate :
21-23 May 2014
Firstpage :
667
Lastpage :
671
Abstract :
Cloud computing and service computing can be integrated into a distributed computing platform which provides a set of services to their users. Different services could cooperate with each other to accomplish more intricate tasks. However, third-party cloud services may cause failures or quality violation of workflow applications. Especially in some critical business scenarios, service performance violations need to be proactively prevented. It is important to identify the violation of service quality for service management. In this work, we propose a new SLA (Service Level Agreement) monitoring model to manage quality of workflow. Multivariate control chart is employed to detect the violations. Violation identifying approach based multivariate control chart can be used to avoid failures of workflow applications in an effective way.
Keywords :
cloud computing; contracts; control charts; cloud computing; distributed computing; multivariate quality control chart; service computing; service level agreement monitoring model; third-party cloud services; workflow applications SLA monitoring; Analytical models; Australia; Equations; Mathematical model; Monitoring; Quality of service; Reliability; Cloud Computing; Performance Monitor; Quality of Service; Service Level Agreement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
Conference_Location :
Hsinchu
Type :
conf
DOI :
10.1109/CSCWD.2014.6846924
Filename :
6846924
Link To Document :
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