Managing Separation of Concerns in Grid Applications Through Architectural Model Transformations

TL;DR

This paper proposes a formal, model-driven engineering approach with tools and frameworks to improve the design, development, and management of complex, heterogeneous grid applications, enhancing quality and reusability.

Contribution

It introduces a formal architectural model transformation framework to manage concerns and improve engineering practices in grid application development.

Findings

Framework facilitates separation of concerns in grid applications

Enhances reusability and maintainability of grid software

Supports rigorous engineering methods for complex grids

Abstract

Grids enable the aggregation, virtualization and sharing of massive heterogeneous and geographically dispersed resources, using files, applications and storage devices, to solve computation and data intensive problems, across institutions and countries via temporary collaborations called virtual organizations (VO). Most implementations result in complex superposition of software layers, often delivering low quality of service and quality of applications. As a consequence, Grid-based applications design and development is increasingly complex, and the use of most classical engineering practices is unsuccessful. Not only is the development of such applications a time-consuming, error prone and expensive task, but also the resulting applications are often hard-coded for specific Grid configurations, platforms and infra-structures. Having neither guidelines nor rules in the design of a Grid-based application is a paradox since there are many existing architectural approaches for distributed computing, which could ease and promote rigorous engineering methods based on the re-use of software components. It is our belief that ad-hoc and semi-formal engineer-ing approaches, in current use, are insufficient to tackle tomorrows Grid develop-ments requirements. Because Grid-based applications address multi-disciplinary and complex domains (health, military, scientific computation), their engineering requires rigor and control. This paper therefore advocates a formal model-driven engineering process and corresponding design framework and tools for building the next generation of Grids.