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28th Annual Simulation Symposium
Quantum modeling of distributed object computing
Santa Barbara, California
April 25-April 28
ISBN: 0-8186-7091-6
J.M. Butler, Syst. Design Lab., Raytheon Co., Tewksbury, MA, USA
Distributed object computing is gaining rapid notice in the computer engineering community. However, few tools exist for the design and modeling of distributed object systems. Clearly, large scale and mission critical systems are most affected by this deficiency. To attain a level of tractability in large scale design and verification, dynamic models are essential. The paper introduces two modeling components. The LCN model supports the definition of real-world network topologies and multicomputer systems. The DCO model provides a system-independent method of representing complex, object oriented computing structures. These components are assigned random variables that provide a basis for dynamic behavior. By mapping DCO software onto LCN hardware, the complete OSM (Object System Mapping) model is created. It is shown that OSM systems can model all modes of distributed object behavior found in the current state of Object Request Broker (ORB) technology while under the constraints of modern network structures. The paper concludes with a qualitative analysis of these behaviors and sets the foundation for a distributed object simulation facility.
Index Terms:
object-oriented methods; random processes; client-server systems; message passing; local area networks; digital simulation; software engineering; distributed object computing; quantum modeling; computer engineering community; design; modeling; tools; large scale systems; mission critical systems; tractability; large scale design; large scale verification; dynamic models; LCN model; real-world network topologies; multicomputer systems; DCO model; system-independent method; complex object oriented computing structures; random variables; DCO software mapping; object system mapping model; OSM model
Citation:
J.M. Butler, "Quantum modeling of distributed object computing," ss, pp.175, 28th Annual Simulation Symposium, 1995
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