Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/232793

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Title

AutoSLAM: a policy-driven middleware for automated SLA establishment in SOA environments

Author(s)

Chhetri, Mohan Baruwal;  Vo, Quoc Bao;  Kowalczyk, Ryszard

Abstract

AutoSLAM (Automated SLA Management) is a policy-based framework for the automated establishment of Service Level Agreements (SLAs) in open, diverse and dynamic Service Oriented Architecture (SOA) environments. The novelty of our framework lies in the support for multiple SLA interaction models, giving service consumers and providers the flexibility to choose the one that is most appropriate in a given context, while simultaneously participating in multiple concurrent SLA interactions using different interaction models. As part of the framework, we present an overview of the reference architecture for the AutoSLAM middleware. We also present WS-SLAM, a domain-independent policy representation language that we have developed by extending the WS-Policy specification language. We validate our framework through a proof-of-concept prototype implementation for purchasing computing resources on Amazon EC2 under different contexts.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Proceedings of the 9th IEEE International Conference on Services Computing (SCC 2012), Honolulu, Hawaii, United States, 24-29 June 2012, pp. 9-16

Publication year

2012

Keyword(s)

Computational modeling;  Context assertions;  Context modeling;  Decision making;  Interaction protocol;  Policies;  Policy-based middleware;  Protocols;  Service level agreement;  Service oriented architecture;  Strategy assertions

Publisher

IEEE

ISBN

9781467330497, 1467330493

Publisher URL

http://dx.doi.org/10.1109/scc.2012.79

Copyright

Copyright © 2012 IEEE. The accepted manuscript is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Additional information

Supported by the Smart Services CRC as part of the Australian Government's CRC grant program.

Full text

Peer reviewed