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Authors: Ameni Meskini 1 ; Yehia Taher 2 ; Amal El gammal 3 ; Béatrice Finance 2 and Yahya Slimani 1

Affiliations: 1 University of Carthage, Tunisia ; 2 Universite de Versailles/Saint-Quentin-en-Yvelines, France ; 3 Cairo University, Egypt

Keyword(s): Cloud Service based Application, SLA Violations Prevention, Cloud Environments, Decision Tree.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; Cloud Application Architectures ; Cloud Computing ; Cloud Computing Architecture ; Cloud Computing Enabling Technology ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Fundamentals ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Monitoring of Services, Quality of Service, Service Level Agreements ; Platforms and Applications ; QoS for Applications on Clouds ; Service Monitoring and Control ; Services Science ; Symbolic Systems

Abstract: In recent years, business process management and Service-based applications have been an active area of research from both the academic and industrial communities. The emergence of revolutionary ICT technologies such as Internet-of-Things (IoT) and cloud computing has led to a paradigm shift that opens new opportunities for consumers, businesses, cities and governments; however, this significantly increases the complexity of such systems and in particular the engineering of Cloud Service-Based Application (CSBA). A crucial dimension in industrial practice is the non-functional service aspects, which are related to Quality-of-Service (QoS) aspects. Service Level Agreements (SLAs) define quantitative QoS objectivesandis a part of a contract between the service provider and the service consumer. Although significant work exists on how SLA may be specified, monitored and enforced, few efforts have considered the problem of SLA monitoring in the context of Cloud Service-Based Application (CSBA), which caters for tailoring of services using a mixture of Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) solutions. With a preventive focus, the main contribution of this paper is a novel learning and prediction approach for SLA violations, which generates models that are capable of proactively predicting upcoming SLAs violations, and suggesting recovery actions to react to such SLA violations before their occurrence. A prototype has been developed as a Proof-Of-Concept (POC) to ascertain the feasibility and applicability of the proposed approach. (More)


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Paper citation in several formats:
Meskini, A.; Taher, Y.; El gammal, A.; Finance, B. and Slimani, Y. (2016). Proactive Learning from SLA Violation in Cloud Service based Application. In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-182-3; ISSN 2184-5042, pages 186-193. DOI: 10.5220/0005807801860193

author={Ameni Meskini. and Yehia Taher. and Amal {El gammal}. and Béatrice Finance. and Yahya Slimani.},
title={Proactive Learning from SLA Violation in Cloud Service based Application},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},


JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Proactive Learning from SLA Violation in Cloud Service based Application
SN - 978-989-758-182-3
IS - 2184-5042
AU - Meskini, A.
AU - Taher, Y.
AU - El gammal, A.
AU - Finance, B.
AU - Slimani, Y.
PY - 2016
SP - 186
EP - 193
DO - 10.5220/0005807801860193