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About A Framework For Data-Intensive Computing With Cloud Bursting
This document proposes a framework for data-intensive computing using a combination of local computing resources and cloud resources. The framework allows processing of datasets that are split between local storage and cloud storage using compute resources from both. The framework is evaluated using three applications and is shown to add an average slowdown of only 15.55% compared to centralized processing on the same total resources. It also scales well, achieving an average speedup of 81% when compute resources are doubled.
Detailed Information
| Author: | ['Qamar Nangraj'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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