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Title page for ETD etd-11162005-124218


Type of Document Dissertation
Author Krishna, Arvind
Author's Email Address arvindk@dre.vanderbilt.edu
URN etd-11162005-124218
Title Optimization Techniques for Enhancing Middleware Quality of Service for Product-line Architectures
Degree PhD
Department Computer Science
Advisory Committee
Advisor Name Title
Douglas C. Schmidt Committee Chair
Aniruddha Gokhale Committee Co-Chair
Adam Porter Committee Member
Gabor Karsai Committee Member
Janos Sztipanovits Committee Member
Keywords
  • quality of service
  • middleware specialization
  • optimizations techniques
  • Middleware
  • Software product line engineering
Date of Defense 2005-11-23
Availability unrestricted
Abstract
Product-line architectures (PLA)s are an emerging paradigm for

developing software families by customizing reusable artifacts, rather

than hand-crafting the software from scratch. In this paradigm, each

product variant is assembled, configured, and deployed based on

specifications of the required features and service-level agreements.

To reduce the effort of developing software PLAs and product variants,

it is common to leverage general-purpose -- ideally standard --

middleware platforms. These middleware platforms provide reusable

services and mechanisms (such as connection management, data transfer

protocols, concurrency control, demultiplexing,

marshaling/demarshaling, and error-handling) that support a broad

range of application requirements (such as efficiency, predictability,

and minimizing end-to-end latency). A key challenge faced by

developers of software PLAs is how to optimize standards-based -- and

thus largely application-independent -- middleware to support the

application-specific quality of service (QoS) needs of different

product variants created atop a PLA.

This dissertation provides four contributions to research on

optimizing middleware for PLAs. First, it describes the evolution of

optimization techniques for enhancing application-independent

middleware to support the application-specific QoS needs of PLAs.

Second, it presents a taxonomy that categorizes the evolution of this

research in terms of (1) applicability, i.e., are the optimizations

applicable across variants or specific to a variant, and (2) binding

time, i.e., when are the optimizations applied during the middleware

development lifecycle. Third, this taxonomy is applied to identify

key challenges that have not been resolved by current research on

PLAs, including reducing the complexity of subsetting, configuring,

and specializing middleware for PLAs to satisfy the QoS requirements

of product variants. Finally, the dissertation describes the OPTEML

solution approach that synergistically addresses key unresolved

research challenges via optimization strategies that encompass

pattern-oriented, model-driven development, and specialization

techniques to enhance the QoS and flexibility of middleware for PLAs.

These optimizations have been prototyped, integrated, and validated in

the context of several representative applications using middleware

developed with Real-time Java and C++.

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