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Title page for ETD etd-12032008-180008

Type of Document Dissertation
Author Kavimandan, Amogh
Author's Email Address amoghk@dre.vanderbilt.edu
URN etd-12032008-180008
Title Reusable Model Transformation Techniques for Automating Middleware QoS Configuration in Distributed Real-time and Embedded Systems
Degree PhD
Department Computer Science
Advisory Committee
Advisor Name Title
Aniruddha Gokhale Committee Chair
Douglas Schmidt Committee Member
Gabor Karsai Committee Member
Janos Sztipanovits Committee Member
Jeff Gray Committee Member
  • Model Transformation
  • Middleware QoS Configuration
  • MDE
  • Templatized Transformation
  • Program transformation (Computer programming)
  • Embedded computer systems -- Quality control
  • Model-driven software architecture
Date of Defense 2008-11-14
Availability unrestricted
Contemporary component middleware platforms provide a high degree of flexibility and configurability to support the development and

operational life-cycles of distributed real-time and embedded (DRE) systems. This flexibility of component middleware, however, can also complicate DRE system configuration since assuring their quality of service (QoS) properties requires mapping their QoS requirements onto the right set of configuration options of the underlying middleware platform.

This dissertation provides the following contributions to the development of

component-based DRE systems. First, it describes the design and implementation of Quality of service pICKER (QUICKER) model-driven

toolchain that combines domain-specific modeling to capture system QoS requirements at domain-level abstractions to simplify the QoS requirements specification process, and model transformations to automate the mapping of these requirements to middleware-specific QoS options. Second, it evaluates the domain-specific requirements modeling, and the generated QoS

configurations in the context of representative DRE systems. Finally, it describes a templatized model transformation technique for developing

general-purpose, platform-independent QoS mappings that can operate across multiple platforms.

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