An architecture framework for composite services with process-personalization

2007 2007

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Abstract (summary)

The integration of large systems remains problematic in spite of advances in composite services approaches. Current composite services approaches can effectively address only the integration of mechanistic processes. Processes with human interaction, abundant in large systems, are integrated in an ad hoc manner. As a result, a process gap occurs between user needs and implemented systems. The lack of support for human interaction with processes in large systems is referred to as the composite process-personalization (CPP) challenge.

The CPP problems can occur at two stages. First, they occur at the modeling stage because of the difficulties in capturing the semantics of user needs. The lack of understanding of the problem domain and scope of integration of user needs results in a loss of semantics at this stage. Second, the CPP problems occur at the composition stage because of the lack of technology support for configuring and managing the semantics of user needs captured during the modeling stage.

The composite P2FRAMEWORK, a composition, integration, and personalization framework, addresses the CPP problems in two ways. First, systematic guidance is provided to alleviate the problems of loss of semantics at the modeling stage. The systematic guidance is based on the dimensions of CPP, which identify the semantic and syntactic needs of large systems integration. The semantic aspects of the dimension provide guidance for the capturing of user needs. The syntactic aspects specify the need for flexible integration and automation of large systems processes. Second, the framework uses the service-agent model, a modeling approach for configuring and managing the semantics of user needs and developing composite services with CPP. The service-agent model supports both the semantic and syntactic dimensions of CPP.

The guidance of the composite P2FRAMEWORK for large systems integration with CPP is demonstrated and validated by using two case studies. The first case study is a weather composite service process with a human interaction task. The second case study is the gene linkage identification part of the composite epidemiology research process for identifying candidate genes for obesity research.

Indexing (details)

Electrical engineering;
Systems design;
Computer science
0544: Electrical engineering
0790: Systems design
0984: Computer science
Identifier / keyword
Applied sciences; Composite services; Process personalization; Service-oriented architecture
An architecture framework for composite services with process-personalization
Sadasivam, Rajani Shankar
Number of pages
Publication year
Degree date
School code
DAI-B 69/02, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Tanik, Murat M.
The University of Alabama at Birmingham
University location
United States -- Alabama
Source type
Dissertations & Theses
Document type
Dissertation/thesis number
ProQuest document ID
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
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