GoalD: A Goal-Driven Deployment Framework for Dynamic and Heterogeneous Computing Environments
Artikel i vetenskaplig tidskrift, 2019

Context
Emerging paradigms like Internet of Things and Smart Cities utilize advanced sensing and communication infrastructures, where heterogeneity is an inherited feature. Applications targeting such environments require adaptability and context-sensitivity to uncertain availability and failures in resources and their ad-hoc networks. Such heterogeneity is often hard to predict, making the deployment process a challenging task.

Objective
This paper proposes GoalD as a goal-driven framework to support autonomous deployment of heterogeneous computational resources to fulfill requirements, seen as goals, and their correlated components on one hand, and the variability space of the hosting computing and sensing environment on the other hand.

Method
GoalD comprises an offline and an online stage to fulfill autonomous deployment by leveraging the use of goals. Deployment configuration strategies arise from the variability structure of the Contextual Goal Model as an underlying structure to guide autonomous planning by selecting available as well as suitable resources at runtime.

Results
We evaluate GoalD on an existing exemplar from the self-adaptive systems community – the Tele Assistance Service provided by Weyns and Calinescu [1]. Furthermore, we evaluate the scalability of GoalD on a repository consisting of 430,500 artifacts. The evaluation results demonstrate the usefulness and scalability of GoalD in planning the deployment of a system with thousands of components in a few milliseconds.

Conclusion
GoalD is a framework to systematically tackle autonomous deployment in highly heterogeneous computing environments, partially unknown at design-time following a goal-oriented approach to achieve the user goals in a target environment. GoalD has demonstrated itself able to scale for deployment planning dealing with thousands of components in a few milliseconds.

Författare

Gabriel S. Rodrigues

Felipe P. Guimarães

G. Nunes Rodrigues

Alessia Knauss

Chalmers, Data- och informationsteknik, Software Engineering

João Paulo C. de Araújo

Hugo Sica de Andrade

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for People, Architecture, Requirements and Traceability

Raian Ali

Information and Software Technology

0950-5849 (ISSN)

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Programvaruteknik

Systemvetenskap

Datavetenskap (datalogi)

DOI

10.1016/j.infsof.2019.04.003

Mer information

Skapat

2019-05-13