Main Reference PaperThermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers,IEEE Transactions on Big Data, 2018 [Java/Hadoop]
  • This project aims to achieve maximum energy efficiency by combining thermal-aware and Dynamic Voltage and Frequency Scaling (DVFS) techniques. To achieve the energy efficiency by considering the computing, cooling, and migration energy consumption. Then the task allocation and frequency assignment model for representing the relationship among different tasks, nodes, time slots, and frequency.

Description
  • This project aims to achieve maximum energy efficiency by combining thermal-aware and Dynamic Voltage and Frequency Scaling (DVFS) techniques. To achieve the energy efficiency by considering the computing, cooling, and migration energy consumption. Then the task allocation and frequency assignment model for representing the relationship among different tasks, nodes, time slots, and frequency.

  • To improve the resource utilization and reduce the energy consumption.

  • To improve the scalability.

Aim & Objectives
  • To improve the resource utilization and reduce the energy consumption.

  • To improve the scalability.

  • The proposed work is further improving the energy consumption model by considering the I/O energy consumption, network transmission energy consumption, etc.

Contribution
  • The proposed work is further improving the energy consumption model by considering the I/O energy consumption, network transmission energy consumption, etc.

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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