Type of Document Dissertation Author Kim, Dong Kwan Author's Email Address email@example.com URN etd-07042009-010717 Title Applying Dynamic Software Updates to Computationally-Intensive Applications Degree PhD Department Computer Science Advisory Committee
Advisor Name Title Tilevich, Eli Committee Chair Arthur, James D. Committee Member Bohner, Shawn A. Committee Member Fisher, Marc II Committee Member Gracanin, Denis Committee Member Park, Jung-Min Jerry Committee Member Ribbens, Calvin J. Committee Member Keywords
- Proxy Pattern
- Java Virtual Machine
- Binary Rewriting
- Dynamic Software Updates
- Computationally-Intensive Applications
Date of Defense 2009-06-22 Availability unrestricted AbstractDynamic software updates change the code of a computer program while it runs,
thus saving the programmer’s time and using computing resources more productively.
This dissertation establishes the value of and recommends practices for applying dynamic software
updates to computationally-intensive applications—a computing domain characterized
by long-running computations, expensive computing resources, and a tedious deployment
process. This dissertation argues that updating computationally-intensive applications dynamically
can reduce their time-to-discovery metrics—the total time it takes from posing
a problem to arriving at a solution—and, as such, should become an intrinsic part of their
software lifecycle. To support this claim, this dissertation presents the following technical
contributions: (1) a distributed consistency algorithm for synchronizing dynamic software
updates in a parallel HPC application, (2) an implementation of the Proxy design pattern
that is more efficient than the existing implementations, and (3) a dynamic update approach
for Java Virtual Machine (JVM)-based applications using the Proxy pattern to offer flexibility
and efficiency advantages, making it suitable for computationally-intensive applications.
The contributions of this dissertation are validated through performance benchmarks and
case studies involving computationally-intensive applications from the bioinformatics and
molecular dynamics simulation domains.
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