Autonomic management of multiple non-functional concerns in behavioural skeletons

TL;DR

This paper addresses the challenge of managing multiple non-functional concerns simultaneously in hierarchical applications, proposing a coordinated autonomic management methodology and discussing its implementation on distributed architectures.

Contribution

It introduces a novel methodology for coordinated management of multiple concerns in behavioral skeletons, extending the CoreGRID GCM framework.

Findings

Proposed a coordinated management methodology for multiple concerns.

Outlined implementation strategies for distributed architectures.

Discussed integration with existing grid middleware systems.

Abstract

We introduce and address the problem of concurrent autonomic management of different non-functional concerns in parallel applications build as a hierarchical composition of behavioural skeletons. We first define the problems arising when multiple concerns are dealt with by independent managers, then we propose a methodology supporting coordinated management, and finally we discuss how autonomic management of multiple concerns may be implemented in a typical use case. The paper concludes with an outline of the challenges involved in realizing the proposed methodology on distributed target architectures such as clusters and grids. Being based on the behavioural skeleton concept proposed in the CoreGRID GCM, it is anticipated that the methodology will be readily integrated into the current reference implementation of GCM based on Java ProActive and running on top of major grid middleware systems.