Towards Self-Awareness in Cloud Markets: A Monitoring Methodology

Ivan Breskovic, Christian Haas, Simon Caton, Ivona Brandic

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

Currently, the Cloud landscape is a fragmented, static and shapeless
market that hinders the paradigm's ability to fulfil its promise
of ubiquitious computing on tap and as a commodity. In this paper, we present our vision of an autonomic self-aware Cloud market platform, and argue that autonomic market platforms for Clouds can step up
to the challenge of today's status quo. As our first steps towards
achieving this vision, we present a market monitoring methodology, which includes a series of realistic market goals, sets of extractable
metrics from a market platform and how to map (i.e.

combine and transform) metrics to access goal performance such that
autonomic adaption of the market could be undertaken. We have extended
a known market simulator for distributed infrastructures (GridSim)
with relevant sensors. To demonstrate the usefulness of our approach, we simulate a sudden cease in demand for goods in our market platform.
Original languageEnglish
Title of host publicationIEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
Editors DASC 2011
Place of PublicationSydney, NSW
Pages81 - 88
Publication statusPublished - 2011

Cite this