2020
DOI: 10.1109/access.2020.3006171
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A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem

Abstract: The cloud ecosystem provides transformative advantages that allow elastically offering on-demand services. However, it is not always possible to provide adequate services to all customers and thus to fulfill service level agreements (SLA). To enable compliance with these agreements, service providers leave the customer responsible for determining the service settings and expect that the client knows what to do. Some studies address SLA compliance, but the existing works do not adequately address the problem of… Show more

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Cited by 5 publications
(5 citation statements)
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“…The improved scalability would allow considering larger sets of heterogeneous resource configurations and larger cloud domains. For large sets of possible resource configurations, implementation and investigation of multi‐objective optimization methods, finding the entire Pareto front 34 or the optimal solution of scalarized problem, 43 would open new vistas in solving large scale problems of the heterogeneous resource selection.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The improved scalability would allow considering larger sets of heterogeneous resource configurations and larger cloud domains. For large sets of possible resource configurations, implementation and investigation of multi‐objective optimization methods, finding the entire Pareto front 34 or the optimal solution of scalarized problem, 43 would open new vistas in solving large scale problems of the heterogeneous resource selection.…”
Section: Resultsmentioning
confidence: 99%
“…For large sets of possible resource configurations, multi-objective optimization methods, finding the entire Pareto front, can be applied. 34 The proposed technique selects the number and type of the containers according to measured performance and estimated cost of parallel DEM computations on heterogeneous cloud. Before the production runs, the application-specific benchmarks of size smaller than targeted problems are made to measure performance of parallel SaaS and to evaluate the cost of used resources.…”
Section: Resource Selectionmentioning
confidence: 99%
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“…Establishing end-to-end runtime performance insights for today's dynamic, complex distributed IT environments is critical for guaranteeing containerized microservices agreedupon Service Level Agreements (SLAs) [16]. However, the terms monitoring and observability are often mixed up, even though they are complementary concepts.…”
Section: Background and Related Workmentioning
confidence: 99%