SLA detective control model for workflow composition of cloud services

Neural Information Processing

2014

Abstract. Maintaining trust in cloud computing is a significant challenge due to the dynamic nature of cloud computing and the fragility of trust. Trust can be established by conducting successful transactions and meeting all the parameters of the Service Level Agreement (SLA) drawn up between two interacting parties. Trust can be maintained by continuous monitoring of these predefined SLA parameters. There are number of commentaries on SLA monitoring that describe different frameworks for the proactive or reactive detection of SLA violations. The aim of this research is to present an overview of the literature and make a comparative analysis of SLA monitoring in respect of trust maintenance in cloud computing.

Section: Reputation-based and Workflow Composition Approachmentioning

confidence: 99%

Maintaining Trust in Cloud Computing through SLA Monitoring

Neural Information Processing

2014

“…In this paper, we explain the process for determining and abating SLA violation, which forms part of the post-interaction phase. It is important to mention that various approaches in the literature have used techniques such as QoS prediction [29], workflow detection control model [40], machine learning regression technique [42], and workload analyzer [50] to ascertain the possibility of SLA violation.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk-based framework for SLA violation abatement from the cloud service provider’s perspective

et al. 2018

The Computer Journal

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 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.

“…The Workflow SLA Violation Detective Control Model (WSVDC) is proposed in [55]. The authors consider a utility function that measures the level of satisfaction and give control charts for each SLA.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…WSVDC [55] The approach uses the SLA utility function and control charts to identify the difference in workflow composition and to improve the quality of cloud services and performance.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Formulating and managing viable SLAs in cloud computing from a small to medium service provider's viewpoint: A state-of-the-art review

et al. 2017

Information Systems

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  Presents a state of the art review on SLA management from service provider side in Cloud Computing.  Presents a critical evaluation of the existing work and identifies the research gaps to be addressed for provider-side Cloud service management. A thorough literature review in the existing area is presented.  Presents an overview of our proposed framework OPV-SLA framework to address the identified issues and validates the results on a cloud dataset.