Risk-based framework for SLA violation abatement from the cloud service provider's perspective. (6th January 2018)

• Record Type: Journal Article
• Authors: Hussain, Walayat; Hussain, Farookh Khadeer; Hussain, Omar; Bagia, Ravindra; Chang, Elizabeth
• Editors: Romanovsky, Alexander
• Is Part Of: Computer journal. Volume 61:Number 9(2018)
• Page Start: 1306
• Page End: 1322
• Publication Date: 2018-01-06
• Subjects: Cloud computing -- SLA management in cloud -- Risk management -- SLA violation -- risk-based decision making -- cloud provider -- Fuzzy inference system; Computers -- Periodicals; 005.1
• DOI: 10.1093/comjnl/bxx118
• Languages: English
• ISSNs: 0010-4620

Abstract

Abstract: The constant increase in the growth of the cloud market creates new challenges for cloud service providers. One such challenge is the need to avoid possible service level agreement (SLA) violations and their consequences through good SLA management. Researchers have proposed various frameworks and have made significant advances in managing SLAs from the perspective of both cloud users and providers. However, none of these approaches guides the service provider on the necessary steps to take for SLA violation abatement; that is, the prediction of possible SLA violations, the process to follow when the system identifies the threat of SLA violation, and the recommended action to take to avoid SLA violation. In this paper, we approach this process of SLA violation detection and abatement from a risk management perspective. We propose a Risk Management-based Framework for SLA violation abatement (RMF-SLA) following the formation of an SLA which comprises SLA monitoring, violation prediction and decision recommendation. Through experiments, we validate and demonstrate the suitability of the proposed framework for assisting cloud providers to minimize possible service violations and penalties.