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About A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
This document summarizes challenges in deploying and optimizing big data applications and machine learning algorithms in cloud data centers and networks. It discusses how MapReduce and Hadoop have enabled many cloud services and applications by providing efficient distributed computing. However, increased traffic between data centers handling big data is creating bottlenecks. The document reviews characteristics of big data programming models and applications, and technologies like virtualization and SDN that support big data systems. It also discusses optimization efforts to improve performance and energy efficiency of systems handling big data.
Detailed Information
| Author: | ['EL MAMOUN ABDELLAH'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 101 |
| Language: | English |
| Format: | |
| Price: | FREE |
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