Towards Rigorous Selection and Configuration of Cloud Services: Research Methodology
This addresses the challenge of efficient cloud service management for users and providers, but appears incremental as it builds on existing methodologies and models.
The paper tackles the problem of automating the selection and configuration of cloud services to meet consumer and provider requirements, resulting in a platform that adapts to environmental changes at design-time or runtime.
Cloud computing has recently emerged as a major trend in distributed computing. We proposed a platform for selecting and configuring automatically an appropriate cloud environment that meets a set of consumer and provider requirements. It can easily adapt its behavior, either at design-time or runtime, to the change of the environment in matters of location, time, activity, interaction abilities, and communication restrictions. The platform based on the principles of dynamic software product lines (SPL), Agent-oriented software engineering, and the MAPE-k reference model. We based on the Design Science Research Methodology to conduct this work. In this article, we present the steps of our research following this methodology's guidelines.