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About Cloud Analytics Do We Really Need To Reinvent The Storage Stack
The document discusses running data analytics applications in the cloud using MapReduce frameworks. It argues that traditional POSIX-based cluster file systems can be optimized to support the requirements of cloud analytics applications, including data locality, large block sizes, and write affinity. An evaluation shows that a cluster file system with these optimizations can match the performance of a specialized non-POSIX file system like HDFS for MapReduce workloads, while outperforming it for traditional applications that rely on POSIX interfaces.
Detailed Information
| Author: | ['coolsuhas19'] |
|---|---|
| Publication Year: | 2011 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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