Real-Time Service-Oriented Distributed Governance

Distributed governance is the process for individual entities in the system to make autonomous decisions in response to special situations. It is an important principle in governing the actions in cyber physical systems to achieve operation responsiveness. In this paper, we extend the widely adopted service-oriented architecture (SOA) paradigm to build a distributed governance model in the context of cyber-physical systems. To achieve distributed governance, we develop the novel distributed workflow model and the autonomous service composition process. Our distributed workflow infrastructure facilitates easy modification and evolution of the workflows and effectively incorporates the distributed service and workflow management mechanism. Our autonomous service composition scheme allows intelligent entities in the cyber physical system to participate in the service composition process and make local composition decisions which collectively, best satisfy the global Quality of Service (QoS) objectives. The distributed workflow and autonomous composition concepts can greatly enhance the timeliness, effectiveness, scalability, and agility of large-scale Cyber Physical Systems (CPS).

[1]  Gilles Paquet,et al.  The new governance, subsidiarity and the strategic state , 2000 .

[2]  Shige Peng UDDI Technical White Paper , 2000 .

[3]  Tony Andrews Business Process Execution Language for Web Services Version 1.1 , 2003 .

[4]  Gero Mühl,et al.  QoS aggregation for Web service composition using workflow patterns , 2004, Proceedings. Eighth IEEE International Enterprise Distributed Object Computing Conference, 2004. EDOC 2004..

[5]  Matjaz B. Juric,et al.  Business process execution language for web services , 2004 .

[6]  Maria Luisa Villani,et al.  An approach for QoS-aware service composition based on genetic algorithms , 2005, GECCO '05.

[7]  G. Paquet The New Geo-Governance , 2005 .

[8]  J.S. Bayne,et al.  A Theory of Enterprise Command and Control , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[9]  Deborah L. McGuinness,et al.  Bringing Semantics to Web Services with OWL-S , 2007, World Wide Web.

[10]  Jian Huang,et al.  Extending service model to build an effective service composition framework for cyber-physical systems , 2009, 2009 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).

[11]  Wonhong Nam,et al.  QoS-Driven Web Service Composition Using Learning-Based Depth First Search , 2009, 2009 IEEE Conference on Commerce and Enterprise Computing.

[12]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.