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Hierarchical Information Entropy System Model for TWfMS.

Qiang Han1,2, Deren Yang3

  • 1School of Computer Science and Engineering, North Minzu University, Yinchuan 750021, China.

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|December 3, 2020
PubMed
Summary
This summary is machine-generated.

The trustworthiness of a Workflow Management System (WfMS) fluctuates with its life cycle stages and component exceptions. Self-autonomous improvement helps restore precision, making trustworthiness maintenance computable.

Keywords:
Trustworthy Workflow Management Systemdissipative structure systemfluctuation theoreminformation entropy system modelservice computingsoftware engineeringsystem engineeringthe second law of thermodynamics

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Area of Science:

  • Computer Science
  • Information Theory
  • Systems Engineering

Background:

  • Workflow Management Systems (WfMS) are crucial for complex processes.
  • Maintaining trustworthiness in WfMS is challenging due to evolving stages and component exceptions.
  • Information entropy provides a framework for quantifying system uncertainty.

Purpose of the Study:

  • To analyze the information entropy evolution in a Trustworthy Workflow Management System (TWfMS).
  • To develop a hierarchical information entropy model for WfMS trustworthiness.
  • To establish a computational approach for trustworthiness maintenance.

Main Methods:

  • Introduction of a hierarchical information entropy model based on correlation theories.
  • Deduction of transformation rules for entropy changes across system, service, and software layers.
  • Analysis of TWfMS states as transformations between the system and its trustworthiness compensate components.

Main Results:

  • Information entropy of TWfMS becomes more undetermined due to exceptions and life cycle progression.
  • Entropy recovers precision through self-autonomous improvement and return to original states.
  • Trustworthiness fluctuations comply with the law of dissipative structure systems.

Conclusions:

  • WfMS trustworthiness maintenance can be analyzed and computed using information entropy.
  • The proposed model offers insights into TWfMS behavior across different stages.
  • Understanding entropy dynamics is key to assuring WfMS trustworthiness.