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Automated SLA negotiation framework for cloud computing
Citation
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
Abstract
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 |
Downloads: | 0 |
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