| Title: | Performance Information Sharing Middleware |
| Author: | Reiss, Charles |
| Abstract: | This thesis presents a design for distributed monitoring system designed to enable monitoring-informed optimizationsin distributed applications. Microbenchmarks and an evaluation in a scientific-computing scenario are presented. The monitoring system is intended to assist when application requirements cannot be easily expressed in a form suitable for existing autonomic computing approaches. The design embeds awareness of the application's topology into the monitoring system so queries can reference a node's place in the application without embedding extra assumptions about the overall layout of the application. Through integration with dynamic code generation, users may make potentially application-specific metadata available and use such data within dynamically deployed filters and transformation functions. Evaluations demonstrate that this approach can provide timely and useful information with low overhead. |
| Type: | Undergraduate Thesis |
| URI: | http://hdl.handle.net/1853/21821 |
| Date: | 2008-05-05 |
| Publisher: | Georgia Institute of Technology |
| Subject: |
Middleware
Performance hinting Distributed databases Overlay networks |
| Department: | Computer Science |
| Advisor: | Committee Member/Second Reader: Eisenhauer, Greg; Faculty Mentor: Schwan, Karsten |
| Files | Size | Format | View |
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| thesis.pdf | 115.1Kb |
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