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Autonomic Computing

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Date Issued:
2015
Abstract/Description:
Modern software systems have grown in complexity and expense, even while costs for the supporting hardware have decreased. Humans still comprise a significant cost from the development to operation and evolution of software, and must be increasingly more skilled as systems grow more complex. Further, legacy software has become more prevalent, as sophisticated enterprise systems developed over many years approach complexity that is too expensive to replace or re-engineer. One of the major software engineering challenges today is the maintenance and evolution of these existing legacy systems to extend the business value of the software, while mitigating the costs and increased complexity. Approaches practiced by researchers and engineers include software reuse, serviceoriented architecture, and autonomic computing principles to improve the reliability of systems, while removing the need for human monitoring and intervention where possible. In this paper, we describe a real-world project in which a multi-channel vendor of musical equipment sought to extend their legacy enterprise system to automatically process customer orders originating from a third party retailer specializing in ecommerce. To realize the solution, an addition to the existing enterprise system was developed using autonomic computing, software reuse, and service-oriented architectural approaches, producing a highly automated order processing stream that was self-monitoring, self-adaptive, and fault-tolerant, while minimizing the need for additional human resources to monitor the system and process the data.
Title: Autonomic Computing.
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Name(s): Mulcahy, James J.
Huang, Shihong
Graduate College
Type of Resource: text
Genre: Poster
Date Created: 2015
Date Issued: 2015
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 1 p.
Language(s): English
Abstract/Description: Modern software systems have grown in complexity and expense, even while costs for the supporting hardware have decreased. Humans still comprise a significant cost from the development to operation and evolution of software, and must be increasingly more skilled as systems grow more complex. Further, legacy software has become more prevalent, as sophisticated enterprise systems developed over many years approach complexity that is too expensive to replace or re-engineer. One of the major software engineering challenges today is the maintenance and evolution of these existing legacy systems to extend the business value of the software, while mitigating the costs and increased complexity. Approaches practiced by researchers and engineers include software reuse, serviceoriented architecture, and autonomic computing principles to improve the reliability of systems, while removing the need for human monitoring and intervention where possible. In this paper, we describe a real-world project in which a multi-channel vendor of musical equipment sought to extend their legacy enterprise system to automatically process customer orders originating from a third party retailer specializing in ecommerce. To realize the solution, an addition to the existing enterprise system was developed using autonomic computing, software reuse, and service-oriented architectural approaches, producing a highly automated order processing stream that was self-monitoring, self-adaptive, and fault-tolerant, while minimizing the need for additional human resources to monitor the system and process the data.
Identifier: FA00005902 (IID)
Collection: FAU Student Research Digital Collection
Note(s): The Sixth Annual Graduate Research Day was organized by Florida Atlantic University’s Graduate Student Association. Graduate students from FAU Colleges present abstracts of original research and posters in a competition for monetary prizes, awards, and recognition.
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00005902
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Owner Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.