Fault-tolerant Service Level Agreement lifecycle management in clouds using actor system

2016 | journal article; research paper. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Fault-tolerant Service Level Agreement lifecycle management in clouds using actor system​
Lu, K.; Yahyapour, R. ; Wieder, P. ; Yaqub, E.; Abdullah, M.; Schloer, B.   & Kotsokalis, C. ​ (2016) 
Future Generation Computer Systems54 pp. 247​-259​.​ DOI: https://doi.org/10.1016/j.future.2015.03.016 

Documents & Media

License

GRO License GRO License

Details

Authors
Lu, Kuan; Yahyapour, Ramin ; Wieder, Philipp ; Yaqub, Edwin; Abdullah, Monir; Schloer, Bernd ; Kotsokalis, Constantinos 
Abstract
Automated Service Level Agreements (SLAs) have been proposed for cloud services as contracts used to record the rights and obligations of service providers and their customers. Automation refers to the electronic formalized representation of SLAs and the management of their lifecycle by autonomous agents. Most recently, SLA automated management is becoming increasingly of importance. In previous work, we have elaborated a utility architecture that optimizes resource deployment according to business policies, as well as a mechanism for optimization in SLA negotiation. We take all that a step further with the application of actor systems as an appropriate theoretical model for fine-grained, yet simplified and practical, monitoring of massive sets of SLAs. We show that this is a realistic approach for the automated management of the complete SLA lifecycle, including negotiation and provisioning, but focus on monitoring as the driver of contemporary scalability requirements. Our proposed work separates the agreement's fault-tolerance concerns and strategies into multiple autonomous layers that can be hierarchically combined into an intuitive, parallelized, effective and efficient management structure. (c) 2015 Elsevier B.V. All rights reserved.
Issue Date
2016
Journal
Future Generation Computer Systems 
Organization
Gesellschaft für wissenschaftliche Datenverarbeitung 
ISSN
1872-7115; 0167-739X
Language
English

Reference

Citations


Social Media