Title
A framework to address inconstant user requirements in cloud SLAs management
Abstract
Dynamically managing service level agreements (SLAs) is a non-trivial issue for both active media technology users and providers. Cloud computing is considered as one of the significant components of the rapidly emerging active media in the current era. As the technology grows rapidly, cloud computing requirements and techniques also change over time, while the current cloud SLA management methods are rigorous in terms of SLA contents updates with the technology innovation and user requirement change. In other words, public SLAs are used as templates, and when issuing a new SLA, it is necessary to map its requirements to all public SLAs. In addition, updating any consumer's SLA requires a cumbersome process of remapping their changed requirements to all public SLAs. This paper proposes a cloud computing SLA management mechanism based on the real options analysis concept to manage cloud SLAs in a dynamic manner. At the beginning, or when issuing a new SLA, the proposed framework receives a new user's requirements and maps these to all public SLAs, while executes only the most appropriate SLA based on options analysis and records/marks the other related solutions (SLAs) for future analysis to address any further change due to internal/external factor. This also provides a mechanism to effectively counter uncertainty parameters triggering dynamic change in cloud SLA management. The framework was deployed using Web SLA and Java followed by an experimental study to evaluate the efficacy and scalability of the proposed framework. The results show that the proposed framework provides efficient and scalable cloud SLA management mechanism.
Year
DOI
Venue
2015
10.1007/s10586-014-0408-6
Cluster Computing
Keywords
Field
DocType
Cloud computing,Service level agreement (SLA),Real options analysis,SLA mapping
Service level,Computer science,Technology innovation,User requirements document,Java,Distributed computing,Cloud computing,Scalability
Journal
Volume
Issue
ISSN
18
1
1386-7857
Citations 
PageRank 
References 
2
0.37
17
Authors
5
Name
Order
Citations
PageRank
Waleed Halboob1112.71
Haider Abbas239143.88
Muhammad Khurram Khan33538204.81
Farrukh Aslam Khan438834.17
Maruf Pasha534.16