Main Reference PaperEfficient Storage and Processing of High-Volume Network Monitoring Data, IEEE Transactions On Network And Service Management, June 2013.
  • The project provides an efficient methodology to process high volume network monitoring data. The monitored data are represented in the matrix format for space utilization. The transformed data allows performing a number of operations in computationally convenient way. The technique prevents the loss of accuracy on transformed data

+ Description
  • The project provides an efficient methodology to process high volume network monitoring data. The monitored data are represented in the matrix format for space utilization. The transformed data allows performing a number of operations in computationally convenient way. The technique prevents the loss of accuracy on transformed data

  • The main objective of this project is to provide space utilization, supporting multiple computational operations while processing the high volume network monitored data. The processing time and storage space of the network data is reduced by representing monitored data as small memory footprint.

+ Aim & Objectives
  • The main objective of this project is to provide space utilization, supporting multiple computational operations while processing the high volume network monitored data. The processing time and storage space of the network data is reduced by representing monitored data as small memory footprint.

  • The major contribution of this project is to provide effective compression technique before storing and processing the high volume data. The compression technique further improves the scalability and sensibility. Hence, the processing time and computational overhead is considerably reduced compared to the proposed system.

+ Contribution
  • The major contribution of this project is to provide effective compression technique before storing and processing the high volume data. The compression technique further improves the scalability and sensibility. Hence, the processing time and computational overhead is considerably reduced compared to the proposed system.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2SE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2SE

  • 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.