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Automated SLA negotiation framework for cloud computing


Wu, L and Garg, SK and Buyya, R and Chen, C and Versteeg, S, Automated SLA negotiation framework for cloud computing, Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 13-16 May 2013, Delft, Netherlands, pp. 235-244. ISBN 978-1-4673-6465-2 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

DOI: doi:10.1109/CCGrid.2013.64


A Service Level Agreement (SLA) is a legal contract between parties to ensure the Quality of Service (QoS) are provided the providers to the customers. A SLA negotiation between participants assists in defining the QoS requirements of critical service-based processes. However, the negotiation process for customers is a significant task particularly when there are multiple SaaS providers in the Cloud market, as service cost and quality are constantly changing and consumers have varying needs. Therefore, we propose a novel automated negotiation framework where a SaaS broker is utilized as the one-stop-shop for customers to achieve the required service efficiently when negotiating with multiple providers. The automated negotiation framework facilitates intelligent bilateral bargaining of SLAs between a SaaS broker and multiple providers to achieve different objectives for different participants. To maximize profit and improve customer satisfaction levels for the broker, we propose the design of counter offer generation strategies and decision making heuristics that take into account time, market constraints and trade-off between QoS parameters. Our negotiation heuristics are evaluated by extensive experimental studies of our framework using data from a real Cloud provider.

Item Details

Item Type:Refereed Conference Paper
Keywords:SLA negotiations, software-as-a-service, market-oriented, cloud computing, resource allocation
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Garg, SK (Dr Saurabh Garg)
ID Code:93833
Year Published:2013
Web of Science® Times Cited:32
Deposited By:Information and Communication Technology
Deposited On:2014-08-19
Last Modified:2018-03-09

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