Main Reference PaperJouleMR: Towards Cost-Effective and Green-Aware Data Processing Frameworks, IEEE Transactions on Big Data, 2018 [Java/Hadoop]
  • Renewable energy and dynamic pricing schemes in smart grids are two major emerging trends in energy markets. This work proposes JouleMR, a cost-effective and green-aware data processing framework. It investigates how to exploit such joule efficiency to maximize the benefits of renewable energy as well as dynamic pricing schemes for MapReduce framework.

Description
  • Renewable energy and dynamic pricing schemes in smart grids are two major emerging trends in energy markets. This work proposes JouleMR, a cost-effective and green-aware data processing framework. It investigates how to exploit such joule efficiency to maximize the benefits of renewable energy as well as dynamic pricing schemes for MapReduce framework.

  • Improves the energy efficiency.

  • To achieve high resource utilization.

Aim & Objectives
  • Improves the energy efficiency.

  • To achieve high resource utilization.

  • This work is contributed to design dynamic and fine-grained resource allocation model by extending the current reservation based allocation mechanisms in Hadoop YARN to further improve the resource utilization.

Contribution
  • This work is contributed to design dynamic and fine-grained resource allocation model by extending the current reservation based allocation mechanisms in Hadoop YARN to further improve the resource utilization.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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