A Context Aware and Self Adaptation Strategy for Cloud Service Selection and Configuration in Run Time

TL;DR

This paper presents a strategy for automatic cloud service selection and configuration that adapts to changing user and environment contexts, enhancing personalized and efficient cloud-based mobile applications.

Contribution

It introduces a novel approach combining dynamic software product lines, agent-oriented engineering, and MAPE-K model for context-aware cloud service adaptation.

Findings

Effective automatic selection of cloud environments based on user context.

Dynamic reconfiguration of cloud services in response to environment changes.

Improved personalization and adaptability for mobile cloud applications.

Abstract

Day after day, the number of mobile applications deployed on cloud computing continues in increasing because o f smartphone capabilities improvement. Cloud computing has already succeeded in the web based application, for that reason, the demand for context aware services provided by cloud computing increases. To customize a cloud service that takes into account th e consumer requirements, which depend on information change, it brings to light many recent challenges to cloud computing about environment aware, location aware, time aware. The cloud provider, moreover, has to manage personalized applications and the con straints of mobile devices in matters of interaction abilities and communication restrictions. This paper proposes a strategy for selecting automatically an appropriate cloud environment that runs out whole requirements, defines a configuration for the ass ociated cloud environment and able to easily adapt to the change of the environment on either the user or the cloud side or both. This process builds on the principles of dynamic software product lines, Agent oriented software engineering, and the MAPE k m odel to select and configure cloud environments according to the consumer needs and the context change.