Optimization and Management in Order to Drive Targeted Networking Memory Database

Ji Liu

doi:10.4028/www.scientific.net/AMM.727-728.965

Paper Titles

Data Center Protection Problems in the Zombie Network
p.948

Design and Implementation of Error Simulator Based FPGA for Optical Data Link Transfer Test
p.951

Detecting Link Communities Based on Hadoop
p.955

Development Technology of Excel Data Server Application with DELPHI ADO + RemObjectcs Combined (Part 1: The Server Side)
p.959

Optimization and Management in Order to Drive Targeted Networking Memory Database
p.965

Principal-Agent Activities on Small World Network
p.969

The Key Technologies for Classification of Distributed Data Streams
p.976

A Study on the Pros and Cons of Automatic Speech Translation - On the Speech to Speech Translation System Latest Achieved by Microsoft
p.982

Research and Development on 3D Simulation Training Evaluation System of Substation Based on Unity3D
p.987

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728Optimization and Management in Order to Drive...

Optimization and Management in Order to Drive Targeted Networking Memory Database

Abstract:

In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.

You might also be interested in these eBooks

Frontiers of Mechanical Engineering and Materials Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

965-968

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.965

Citation:

Cite this paper

Online since:

January 2015

Authors:

Ji Liu

Keywords:

Cloud Computing, Memory Database, Vehicle Networking

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zhang Dabiao, Kang Yueyi, Liu Hongyun. Design of Automobile Collision Avoidance Warning System Based on LabVIEW The Eighth International Conference on Electronic Measurement and Instruments. 2007: 5155.

DOI: 10.1109/icemi.2007.4350729

Google Scholar

[2] A. Hamish Jamson, Frank C.H. Lai, Oliver M.J. Carsten. Potential enefits of an adaptive forward collision warning system. Transportation esearch Part C. 2008(16): 471一 484.

DOI: 10.1016/j.trc.2007.09.003

Google Scholar

[3] Yuan Lin Chen and Chong An Wang, Vehicle Safety Distance Warning System: A Novel Algorithm for Vehicle Safety Distance Calculating Between Moving Cars. IEEE VTC2007 Spring in Dubfin. 2007, 4(23): 25702574.

DOI: 10.1109/vetecs.2007.529

Google Scholar

[4] Yuan Lin Chen, Shun Chung Wang, Chong An Wang. Studly Distance Warning System. IEEE Intelligent Transportation on Vehicle Safety Systems. 2008, 17(6): 17061712.

DOI: 10.1109/icit.2008.4608344

Google Scholar