Main Reference PaperAn Optimizing Technique based on Genetic Algorithm for Power Management in Heterogeneous Multi-Tier Web Clusters, International Journal of Computer Applications, April 2015.
  • This project aims to optimize the performance (in terms of execution time) of a multi-tier system and to decrease the power consumption of the servers. To achieve these objectives, an Energy Optimizing Genetic Algorithm (EOGA) technique is applied on athree-tier web cluster system.

+ Description
  • This project aims to optimize the performance (in terms of execution time) of a multi-tier system and to decrease the power consumption of the servers. To achieve these objectives, an Energy Optimizing Genetic Algorithm (EOGA) technique is applied on athree-tier web cluster system.

  • To decrease the power Consumption

  • To optimize the performance of a multi-tier system

+ Aim & Objectives
  • To decrease the power Consumption

  • To optimize the performance of a multi-tier system

  • An approach is contributed to increase the performance and to reduce the power consumption further.

+ Contribution
  • An approach is contributed to increase the performance and to reduce the power consumption further.

  • OS : Window 7 (Cygwin) / Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, Language : TCL and AWK script, (C++)

+ Software Tools & Technologies
  • OS : Window 7 (Cygwin) / Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, Language : TCL and AWK script, (C++)

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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.