Towards Self-Awareness in Cloud Markets: A Monitoring Methodology
Currently, the Cloud landscape is a fragmented, static and shapeless market that hinders the paradigm's ability to fulfill its promise of ubiquitous computing on tap and as a commodity. In this paper, the authors present their 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 their first steps towards achieving this vision, they 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.