Institute for Software Integrated Systems Vanderbilt University Towards a Paradigm for Activity Modeling SMC2000 WP-2.9: Modeling & Control – Hybrid Systems 2 October 11, 2000, Hermitage D, 5:10 pm Jason Garrett

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 Motivation, DuPont Give operators the ability to use information obtained from sensors in the plant and allow individuals the opportunity to use this information for decision making: Real-time and historical information is obtained through a Process Monitoring and Control (PM&C) database Chemical simulation capabilities accessible via remote supercomputer execution Signal Processing should be allowed at any integration point Remote clients should be easy to instantiate, completely configurable, and allow for multiple paths of bidirectional communication

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 Presentation Overview System Integration Problem: General Case Our specific case Model Integrated Computing (MIC): Explanation Relevance to our Problem MIC -> Activity Modeling Tool Our Specific Run-Time Environment Conclusions

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 System Integration, General Classic Problem:data need to be exchanged through systems not sharing a common interface Classic Solution:GLUE code in Run-Time Environment System1 System2 System3 System4 ?

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 System Integration, Specific neoClassic Problem:frequent reconfiguration; system addition; distanced operation manager Our Solution:Activity Modeling through Model Integrated Computing PM&C SigProc. Simul. GUI AMT Future1 Future2

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 Model Integrated Computing Model Interpretation Model Interpreters Models MIPS Environment Application Domain App Application Evolution Environment Evolution Meta-Level Translation Metaprogramming Interface Formal Specifications Model Builder The Multigraph Architecture

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 MIC Relevance Model Integrated Computing builds Model Integrated Program Synthesis (MIPS) environments based on a multi- aspect, containment hierarchy with different types of associations: Associations such as connections, references, sets, must have higher level intentions Strict use of these associations allows for unambiguous interpretation of data to synthesize target environments Implication:infrastructure standardization is inherent, solving a key system integration problem

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 MIC Relevance II All graphic components (syntax) and their associations (semantics) are assigned meaning MetaModeler is put in charge of making Systems conform to infrastructure and capturing necessary characteristics

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 MIC Relevance III: The Proposition Refine our needs into a block structure representing the specific systems (PM&C, GUI, Sim. SigProc.) and define visual characteristics at the highest level Result:an infrastructure linked through a run-time kernel with subsystem comps. capable of contrib. via dir. conns.

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 MIC -> Activity Modeling Tool Capture characteristics of individual systems at meta- level, infuse these into the domain-specific environment Solves: reconfiguration eased through finding essentials

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 Our RT Environment Vantage (PM&C) Aspen Sim Super WinServer Aspen SimCli WebServer GUI Client.cpp;.hpp;.html;.cfg MIC AMT MIPS

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 Our RT Environment, GUI Java Applet configured dynamically from model information, allows for bidirect. communication with data pipeline

GARRETTTowards a Paradigm for Activity ModelingWP-2.9 Conclusions Model Integrated Computing application to System Integration problem in specific case of Chemical Plant processing Solves problems of: –Abstracting modeler from details of system –Allowing for easy reconfiguration –Infrastructure def’n for addition of new comps. Places intrinsic difficulties on meta-modeler and gives domain user closer interaction Provides framework for numerous system integration problems

Institute for Software Integrated Systems Vanderbilt University Towards a Paradigm for Activity Modeling Jason Garrett, Akos Ledeczi, Frank DeCaria SMC2000 WP-2.9: Modeling & Control – Hybrid Systems 2 October 11, 2000, Hermitage D, 5:10 pm Funding support from the Dupont Chemical Corporation, Old Hickory Plant, TN