Title
Conformance checking for autonomous multi-cloud SLA management and adaptation
Abstract
Satisfying cloud customers’ requirements, i.e., respecting an agreed-on service level agreement (SLA), is not a trivial task in a multi-cloud context. This is mainly due to divergent SLA objectives among the involved cloud service providers and hence divergent reconfiguration strategies to enforce them. In this paper, we propose a hierarchical representation of multi-cloud SLAs: sub-SLAs associated with a system’s components deployed on distinct cloud service providers and global-SLA associated with the whole system. We also enrich these SLA representations with state machines reflecting reconfiguration strategies defined by cloud customers. Then, we propose an autonomous multi-cloud resource orchestrator based on the MAPE-K adaptation control loop to enforce them and to avoid SLA violations. Finally, in order to check the conformity of this enforcement with defined multi-cloud SLA, we propose an approach for multi-cloud SLA reporting inspired by conformance checking techniques. An implementation of the approach is presented in the paper and illustrates the approach feasibility.
Year
DOI
Venue
2022
10.1007/s11227-022-04363-0
The Journal of Supercomputing
Keywords
DocType
Volume
SLA, Cloud resources, Multi-cloud, Autonomous computing, Reconfiguration strategy, State machine
Journal
78
Issue
ISSN
Citations 
11
0920-8542
0
PageRank 
References 
Authors
0.34
14
4
Name
Order
Citations
PageRank
Jeremy Mechouche100.34
Roua Touihri200.34
Mohamed Sellami312619.13
Walid Gaaloul461377.38