Title page for ETD etd-11102009-144247


Type of Document Dissertation
Author Hutanu, Andrei
URN etd-11102009-144247
Title Methods and Design Issues for Next Generation Network-Aware Applications
Degree Doctor of Philosophy (Ph.D.)
Department Computer Science
Advisory Committee
Advisor Name Title
Allen, Gabrielle Committee Chair
Katz, Daniel S. Committee Member
Kosar, Tevfik Committee Member
Seidel, Edward Committee Member
Olafsson, Gestur Dean's Representative
Keywords
  • distributed applications
  • high-definition classroom
  • transport protocols
  • remote data access
  • high-speed networks
  • interactive visualization
Date of Defense 2009-11-09
Availability unrestricted
Abstract
Networks are becoming an essential component of

modern cyberinfrastructure and

this work describes methods of designing

distributed applications for high-speed networks

to improve application scalability, performance

and capabilities. As the amount of data generated by scientific

applications continues to grow,

to be able to handle and process it,

applications should

be designed to use parallel, distributed

resources and high-speed networks.

For scalable application design developers should

move away from the current component-based

approach and implement instead an integrated,

non-layered architecture where applications

can use specialized low-level interfaces.

The main focus of this research is on interactive,

collaborative visualization of large datasets. This work

describes how a visualization application

can be improved through using distributed resources

and high-speed network links

to interactively visualize

tens of gigabytes of data and

handle terabyte datasets while

maintaining high quality.

The application supports interactive frame rates,

high resolution, collaborative visualization and

sustains remote I/O bandwidths of several Gbps (up to

30 times faster than local I/O).

Motivated by the

distributed visualization application,

this work also researches remote data access systems.

Because wide-area networks may

have a high latency, the remote I/O system uses an architecture

that effectively hides latency.

Five remote data access architectures are analyzed and the results

show that an architecture

that combines bulk and pipeline processing is

the best solution for high-throughput remote

data access. The resulting system, also supporting

high-speed transport protocols and configurable remote

operations, is up

to 400 times faster than a comparable

existing remote data access system.

Transport protocols are compared

to understand which protocol

can best utilize high-speed network connections,

concluding that a rate-based protocol

is the best solution, being 8 times faster than standard TCP.

An HD-based remote teaching application experiment

is conducted, illustrating the potential

of network-aware applications in a production

environment.

Future research areas are presented,

with emphasis on network-aware optimization,

execution and deployment scenarios.

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