Workshop chairs

Richard Anthony, University of Greenwich, UK
Duncan Johnston-Watt, Enigmatec Corporation, UK
Omer Rana, University of Cardiff, UK

Programme Committee

Richard Anthony, University of Greenwich, UK
Duncan Johnston-Watt, Enigmatec Corporation, UK
Omer Rana, University of Cardiff, UK
Mazin Yousif, Intel, USA
Torsten Eymann, University of Bayreuth, Germany
Julie McCann, Imperial College, UK
Mohamed Ibrahim, University of Greenwich, UK
Jean-Marc Seigneur, University of Geneva , Switzerland
Noria Foukia, University of Otago, New Zealand
Luc Moreau, University of Southampton, UK
Toshi Nakata, NEC Research, Japan
Ken Moody, Cambridge University, UK
Alex Heneveld, Enigmatec Corporation, UK
Richard Connor, Strathclyde University, UK
Alan Dearle, University of St Andrews, UK
John Strassner, Motorola, USA
Jeff Bradshaw University of West Florida, USA
Asit Dan, IBM TJ Watson, USA
John Wilkes, HP, USA
Alun Butler, Morgan Stanley, UK

Call for papers

Important dates

Full paper submissions: March 31st, 2007
Author notification: April 15th, 2007
Final manuscripts due: April 31st, 2007

Author guidelines

Publication channels

Contact the organisers

Richard Anthony: R.J.Anthony@gre.ac.uk
Duncan Johnston-Watt: duncan@enigmatec.net
Omer Rana: o.f.rana@cs.cardiff.ac.uk

Workshop website maintained by Richard Anthony

Introduction

Policy-based computing is one of many techniques used to implement autonomic computer systems. The business function is expressed in terms of workflow (logic + actions) or behavioural rules to be performed in response to certain situations, which is decoupled from the implementation mechanism. The mechanisms are fixed at design time, but the actual run-time behaviour is decided by the policy. This facilitates contextual awareness as the policy may take account of various environmental inputs from sensors and external software systems. Policy-based mechanisms are also very useful in specifying system behaviour - such as when specifying Service Level Agreements, and subsequently monitoring whether these agreements have been adhered to.
Policy-based configuration is highly versatile and generally applicable across a very wide application space. When compared with other autonomics techniques, policies represent one of the lowest risk and lowest cost solutions; because there is relatively low complexity.