Skip to main content
Article thumbnail
Location of Repository

Protocols for Processes: Programming in the Large for Open Systems

By Munindar P. Singh, Amit K. Chopra, Nirmit Desai and Ashok U. Mallya


The modeling and enactment of business processes is being recognized as key to modern information management. The expansion of Web services has increased the attention given to processes, because processes are how services are composed and put to good use. However, current approaches are inadequate for flexibly modeling and enacting processes. These approaches take a logically centralized view of processes, treating a process as an implementation of a composed service. They provide low-level scripting languages to specify how a service may be implemented, rather than what interactions are expected from it. Consequently, existing approaches fail to adequately accommodate the essential properties of the business partners in a process (the partners would be realized via services)—their autonomy (freedom of action), heterogeneity (freedom of design), and dynamism (freedom of configuration). Flexibly represented protocols can provide a more natural basis for specifying processes. Protocols specify what rather than how; thus they naturally maximize the autonomy, heterogeneity, and dynamism of the interacting parties. We are developing an approach for modeling and enacting business processes based on protocols. This paper describes some elements of (1) a conceptual model of processes that will incorporate abstractions based on protocols, roles, and commitments; (2) the semantics or mathematical foundations underlying the conceptual model and mapping global views of processes to the local actions of the parties involved; (3) methodologies involving rule-based reasoning to specify processes in terms of compositions of protocols

Topics: Categories and Subject Descriptors D.2.11 [Software Engineering, Software Architectures, D.2.10 [Software Engineering, Design, D.2.13 [Software Engineering, Reusable Software, I.2.11 [Artificial Intelligence, Distributed Artificial IntelligenceMultiagent Systems General Terms
Year: 2004
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.