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Business workflow growth rate analysis using cellular automata

Published: 26 October 2012 Publication History

Abstract

In highly competitive and fast changing world, various business enterprises and IT organizations must adapt to the needs of their clients and quickly respond to the emergency changes imposed by them. But most of the present business trends foster at highly conceptual level such as the business process alone. They don't concentrate at the medium layers of the process such as business logic which constitute business rules, functions and various parameters. Since most of the alterations occur at the business logic layer and results in modification of the process hierarchy, similar importance must be given at this level as the business process is directly dependent on the core implementation of the process. We model the entire system as the business logic model and analyze the growth rate analysis of the business workflows using cellular automata. Cellular automata is used to predict the changes implemented at the logical layer and also useful in generation of a set of patterns through which we can predict the work flow of the business process and also whether the flow of the entire process is in right path or not. If any modification occurs at business rules, weights are assigned for each and every rule represented as a cell. And hence by the values of the weights we can identify the growth rate analysis of the business system.

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  • (2018)The working group performance modeled by a bi-layer cellular automatonSimulation10.1177/003754971561409692:2(179-193)Online publication date: 30-Dec-2018

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CCSEIT '12: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
October 2012
800 pages
ISBN:9781450313100
DOI:10.1145/2393216
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Avinashilingam University: Avinashilingam University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2012

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Author Tags

  1. business logic management
  2. business work flow
  3. cellular automata
  4. finite state machine
  5. prediction analysis

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  • (2018)The working group performance modeled by a bi-layer cellular automatonSimulation10.1177/003754971561409692:2(179-193)Online publication date: 30-Dec-2018

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