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SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud Applications
- Source :
- UCC
- Publication Year :
- 2020
- Publisher :
- arXiv, 2020.
-
Abstract
- Cloud modelling languages (CMLs) are designed to assist customers in tackling the diversity of services in the cloud market. While many CMLs have been proposed in the literature, they lack practical support for automating the selection of services based on the specific service level objectives of a customer's application. We put forward SLO-ML, a novel and generative CML to capture service level requirements and, subsequently, to select the services to honour customer requirements and generate the deployment code appropriate to these services. We present the architectural design of SLO-ML and the associated broker that realises the deployment operations. We rigorously evaluate SLO-ML using a mixed methods approach. First, we exploit an experimental case study with a group of researchers and developers using a real-world cloud application. We also assess overheads through an exhaustive set of empirical scalability tests. Through expressing the levels of gained productivity and experienced usability, we highlight SLO-ML's profound potential in enabling user-centric cloud brokers. We also discuss limitations as application requirements grow.
- Subjects :
- FOS: Computer and information sciences
020203 distributed computing
Domain-specific language
business.industry
Computer science
Service level objective
Cloud computing
Service level requirement
Usability
02 engineering and technology
Software Engineering (cs.SE)
Computer Science - Software Engineering
Computer Science - Distributed, Parallel, and Cluster Computing
Software deployment
020204 information systems
Scalability
0202 electrical engineering, electronic engineering, information engineering
Code (cryptography)
Distributed, Parallel, and Cluster Computing (cs.DC)
business
Software engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- UCC
- Accession number :
- edsair.doi.dedup.....3ab0e56d154729e40e7fb59179dfd2a1
- Full Text :
- https://doi.org/10.48550/arxiv.2001.11093