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A Methodology for Evaluating Complex Interactions between Multiple Autonomic Managers

Authors:
Thaddeus Eze
Richard Anthony
Chris Walshaw
Alan Soper

Keywords: autonomic computing; interoperability; datacentre; multi-manager

Abstract:
the very success of autonomic systems has inevitably led to situations where multiple autonomic managers need to coexist and/or interact directly or indirectly within the same system. This is evident, for example, in the increasing availability of large datacentres with multiple [heterogeneous] managers which are independently designed. Potentially, problems can arise as a result of conflict-of-interest when these managers (components) coexist. There is a growing concern that the lack of support for interoperability will become a break issue for future systems. We present an architecture-based solution to interoperability. Our approach is based on a Trustworthy Autonomic Architecture (different from traditional autonomic computing architecture) that includes mechanisms and instrumentation to explicitly support interoperability and trustworthiness. We posit that interoperability support should be designed in and integral at the architectural level, and not treated as add-ons as it cannot be reliably retro-fitted to systems. In this work-in-progress paper, we analyse the issue of interoperability and present our approach using a datacentre multi-manager scenario.

Pages: 53 to 56

Copyright: Copyright (c) IARIA, 2013

Publication date: March 24, 2013

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-257-8

Location: Lisbon, Portugal

Dates: from March 24, 2013 to March 29, 2013