DocumentCode
659620
Title
SLA data management criteria
Author
Stamou, Katerina ; Kantere, Verena ; Morin, Jean-Henry
Author_Institution
Inst. of Services Sci., Univ. of Geneva, Geneva, Switzerland
fYear
2013
fDate
6-9 Oct. 2013
Firstpage
34
Lastpage
42
Abstract
Service Level Agreements (SLAs) represent service management contracts that are processed by monitoring and measurement mechanisms for the evaluation of the signatories adherence to the agreed service levels during service execution. The paper discusses SLA data management characteristics that need to be considered in the design of data models for SLA documents. The SLA anatomy is introduced with respect to the Web Service Level Agreement (WSLA) [1] language specification. Furthermore, the paper highlights current obstacles for the integration of automated SLA management in the cloud business setting. The contributed SLA data analysis maps SLA terms to data management attributes according to their operational relevance during the SLA activity. We present an SLA digraph model for the automated SLA formulation and data handling. The SLA digraph is introduced as a programming module that sits on the application layer and communicates with backend data stores for the SLA persistence.
Keywords
Web services; cloud computing; contracts; data analysis; data models; document handling; specification languages; SLA anatomy; SLA data analysis; SLA data management criteria; SLA digraph model; SLA documents; WSLA; Web service level agreement language specification; application layer; automated SLA formulation; cloud business setting; data handling; data management attributes; data model design; discusses SLA data management characteristics; measurement mechanism; monitoring mechanism; service execution; service management contracts; signatories adherence evaluation; Availability; Contracts; Data models; Data structures; Measurement; Monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data, 2013 IEEE International Conference on
Conference_Location
Silicon Valley, CA
Type
conf
DOI
10.1109/BigData.2013.6691769
Filename
6691769
Link To Document