OPC:An Effective Memory Computing Solution of Big Data For PC

DOI

10.2991/ccis-13.2013.74How to use a DOI?

Keywords

component; Big Data, Distributed Memory Computing, Parallel Computing, Objectification Parallel Computing, Architecture of Objectification Parallel Computing

Abstract

The Big Data computing is one of hot spots of the internet of things and cloud computing. The memory computing is one of key factors of improving performance. Many companies and institutions provide technology and produce. But expensive cost and processing unstructured data are urgent to solve. To deal with the problem, this paper provides an effective memory computing solution with Objectification Parallel Computing (OPC) for PC. In the solution, the unstructured data and structured can be formatted into object. Then the objects are distributed stored in the computer memories and parallel compute to complete tasks. The OPC is applied to the Electric Asset Quality Supervision Manage System (EAQSMS) of State Grid of China, the result shows that with PCs the system is efficiently available, reliable, and flexible expansible.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Zhi
AU  - Tang Yunshan
AU  - Zhang Chunping
AU  - Hu Zhiyao
AU  - Wu Meng
AU  - Lin Feng
PY  - 2013/11
DA  - 2013/11
TI  - OPC:An Effective Memory Computing Solution of Big Data For PC
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 317
EP  - 323
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.74
DO  - 10.2991/ccis-13.2013.74
ID  - Zhi2013/11
ER  -