_exploiting-heterogeneity-in-distributed-software-frameworks.jpg "Exploiting Heterogeneity in Distributed Software Frameworks from r systems chennai Video Screenshot Preview")
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⏲ Duration: 31 min 42 sec
✓ Published: 14-Dec-2014
✓ Published: 14-Dec-2014
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Abstract:Large Distributed Software Frameworks (DSF) such as MapReduce and Hadoop have become the de-facto standard for large scale data processing and analytics. DSF deployments in the cloud continue to grow in both size and number, given the DSFs are cost-effective and easy to deploy. However, a problem faced in evolving DSFs is to efficiently handle the increasing heterogeneity in the underlying infrastructure. For instance, low-cost, power-efficient clusters that employ traditional servers
Abstract:Large Distributed Software Frameworks (DSF) such as MapReduce and Hadoop have become the de-facto standard for large scale data processing and analytics. DSF deployments in the cloud continue to grow in both size and number, given the DSFs are cost-effective and easy to deploy. However, a problem faced in evolving DSFs is to efficiently handle the increasing heterogeneity in the underlying infrastructure. For instance, low-cost, power-efficient clusters that employ traditional servers
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