Dedicated Laboratories - Distributed Computing Labs
Description
The research group works cooperatively on projects involving a variety of topics in distributed and parallel computing. These include:
- Performance Analysis Techniques/Methodologies for Parallel and
Distribute Computing Systems: constructing engineering models
(e.g. performance models), and using these models to predict and
optimize performance.
- Software Performance Engineering: the development of software design
methodologies which incorporate the use of performance modeling to
satisfy performance specifications (as in a real-time system), or to
optimize performance (as in a parallel computing application).
- Real-Time Distributed Computing Systems: cooperative work with industry
in different applications such as high speed non-destructive testing
of railroad tracks and pipelines.
- Analytic Modeling of Computer and Distributed Queueing developing and
enhancing matrix techniques for understanding the unusual behavior
of certain queueing systems. This has come to be known as "Linear
Algebraic Queueing Theory" (LAQT). Applying these techniques to
telecommunications networks, where many researchers have found that
the traffic seen on both inter- and intra-nets, is very
unusual. This behavior, variously known as "Self-Similar,"
"Chaotic," and "Long-range," is not well represented by the standard
models that have been in use for the last 30 years. Our model
(called the N-Burst process) promises to be very useful for
understanding why telecommunications appear to be so unstable. It is
the only analytic model (as opposed to simulation model) that treats
traffic flow as the point process it is (as opposed to `continuous
flow' models).
- Fault-tolerance Distributed and Parallel Systems: The theoretical
foundations and practical applications of dependable distributed computing
technology. The research can be classified into: Dependable
distributed system building blocks, Algorithms and complexity,
Application design and deployment.
- The DISCO Lab is located in the Wilbur Cross Building on the UConn main campus (Phone: 486-0849). The DISCO Lab organizes a seminar series every Wednesday at 11:00am.
Reda A. Ammar, (Director) Computer Science and Engineering, University of Connecticut
Ian Greenshields, Computer Science and Engineering, University of Connecticut
Lester Lipsky, Computer Science and Engineering, University of Connecticut
Howard Scholl, Computer Science and Engineering, University of Connecticut
Group Laboratory Website
DISCO website
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