SLA Negotiation for Web Service Consumption Based on Analytic Hierarchy Process
R. Raju1, D. Dhivya2, R. Saranya3, S. I. Abbinaya4
1Mr. R. Raju (Research Scholar at Bharathiyar University, Coimbatore), Associate Prof. and Department Head, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Pondicherry, India.
2Ms. D.Dhivya , Final Year B. Tech Student, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Pondicherry, India.
3Ms. R.Saranya, Final Year B. Tech Student, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Pondicherry, India.
4Ms.S.I.Abbinaya, Final Year B. Tech Student, Department of Information Technology, Sri Manakula Vinayagar Engineering College, Pondicherry, India.
Manuscript received on February 05, 2013. | Revised Manuscript received on February 12, 2013. | Manuscript published on February 15, 2013. | PP: 72-75 | Volume-1 Issue-3, February 2013. | Retrieval Number: C0158020213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The effectual use of services to compile business processes in service computing stresses that the Quality of Services (QoS) convene consumers’ outlook. The service consumer need to request for the service. The service provider will provide service to the consumer. When manipulating services, a service provider need to define the quality of service levels that will be offered to customers. Automated web-based negotiation of Service Level Agreements (SLA) can aid describe the QoS requirements of vital service-based processes. We propose a trusted Negotiation Manager (NM) framework that performs adaptive and intelligent mutual bargaining of SLAs between a service contributor and a service purchaser based on each party’s high level business necessities. We also define an algorithm for adapting the decision functions during an enduring negotiation to conform with an opponent’s offers or with simplified purchaser preferences. The NM uses intelligent agents to conduct the negotiation locally by choosing the most appropriate multi criteria decision making method known as Analytic Hierarchy Process (AHP).
Keywords: Analytic Hierarchy Process, Multi-criteria decision making, Quality of services, service-level agreement, negotiation, intelligent agents, adaptive negotiation, web services.