DCSEAug 27, 2019

Analysis of SLA Compliance in the Cloud -- An Automated, Model-based Approach

arXiv:1908.10040v14 citations
AI Analysis

This addresses the issue of SLA violations and penalties for cloud service providers and customers, but it appears incremental as it builds on existing formal models and DevOps methodologies.

The paper tackles the problem of analyzing SLA compliance in cloud services before deployment by proposing an automated, model-based approach, and demonstrates its workflow through a case study.

Service Level Agreements (SLA) are commonly used to specify the quality attributes between cloud service providers and the customers. A violation of SLAs can result in high penalties. To allow the analysis of SLA compliance before the services are deployed, we describe in this paper an approach for SLA-aware deployment of services on the cloud, and illustrate its workflow by means of a case study. The approach is based on formal models combined with static analysis tools and generated runtime monitors. As such, it fits well within a methodology combining software development with information technology operations (DevOps).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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