A framework for SLA management in cloud computing for informed decision making

Authors:
Adil Hammadi;Omar Khadeer Hussain;Tharam Dillon;Farookh Khadeer Hussain
Affiliations:
School of Information Systems, Curtin Business School, Perth, Australia;School of Information Systems, Curtin Business School, Perth, Australia;Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia;Decision Support and e-Service Intelligence Lab, Quantum Computation and Intelligent Systems, School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydne ...
Venue:
Cluster Computing
Year:
2013

Citing 9
Cited 0

Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence

Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
A methodology to quantify failure for risk-based decision support system in digital business ecosystems

Data & Knowledge Engineering
Determining the Failure Level for Risk Analysis in an e-Commerce Interaction

Advances in Web Semantics I
Lifetime service level agreement management with autonomous agents for services provision

Information Sciences: an International Journal
Cloudbus Toolkit for Market-Oriented Cloud Computing

CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
A view of cloud computing

Communications of the ACM
Toward risk assessment as a service in cloud environments

HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
Building a fuzzy trust network in unsupervised multi-agent environments

OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
A usability-evaluation metric based on a soft-computing approach

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.00

Visualization

Abstract

In cloud computing, service providers offer cost-effective and on-demand IT services to service users on the basis of Service Level Agreements (SLAs). However the effective management of SLAs in cloud computing is essential for the service users to ensure that they achieve the desired outcomes from the formed service. In this paper, we introduce a SLA management framework that will enable service users to select the best available service provider on the basis of its reputation and then monitor the run time performance of the service provider to determine whether or not it will fulfill its promise defined in the SLA. Such analysis will assist the service user to make an informed decision about the continuation of service with the service provider.