Study on Simulation Cloud Computing of Power System

Quan Sheng Zhu; Wei Liu; Kun Gao

doi:10.4028/www.scientific.net/AMM.441.1049

Paper Titles

The Research on the Internet of Things Industry Chain for Barriers and Solutions
p.1030

Time Triggered and Event Triggered Codesign in CAN Bus Network
p.1036

The Design and Implement of Marine MF/HF Radio Simulator
p.1040

Fast Elliptic Curve Point Multiplication Algorithm Optimization
p.1044

Study on Simulation Cloud Computing of Power System
p.1049

The Study of the Apple Juice Evaporation Characteristics on a Heat Pipe Evaporator
p.1055

TRIZ Evolution Theory Applied to Man-Made Boards
p.1060

Integrated TRIZ and MEMS in Eco-Innovative Design
p.1064

Virtual Manufacturing Technology Application in Calculation of Man-Hour in Manufacturing
p.1068

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Study on Simulation Cloud Computing of Power...

Study on Simulation Cloud Computing of Power System

Abstract:

Cloud computing technology is an innovative IT application mode, which integrates computing, storage, network, information services infrastructure, operating system, application platform, WEB services and software resources. By using cloud computing technology, users can use many different services though the internet. This technology is the result of a variety of technologies evolution and integration, including distributed computing, grid computing, utility computing, visualization's technology, and SOA, etc. This paper introduces cloud computing principles and analyzes the necessity, key points and difficulties of the simulation cloud computing project of power system.

You might also be interested in these eBooks

Machinery Electronics and Control Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

1049-1052

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.1049

Citation:

Cite this paper

Online since:

December 2013

Authors:

Quan Sheng Zhu, Wei Liu, Kun Gao

Keywords:

Cloud Computing, Electric Power Simulation, Massive Data Management

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Chen G., W. He, and J. Liu, et al, Energy-aware server provisioning and load dispatching for connection-intensive internet services, Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, pp.337-350, (2008).

Google Scholar

[2] M. Handley, O. Hodson, and E. Kohler, Xorp: An Open platform for network research, ACM SIGCOMM Computer Communication Review, vol 33(1), pp.53-57, (2003).

DOI: 10.1145/774763.774771

Google Scholar

[3] E. Kohler, R. Morris, and Benjie Chen, et al, The click modular router, ACM Transactions on Computer Systems, vol 18(3), pp.263-297, (2000).

DOI: 10.1145/354871.354874

Google Scholar

[4] A. Bavier, N. Feamster, and Mark Huang, et al, In vini veritas: Realistic and controlled network experimentation, ACM SIGCOMM Computer Communication Reviewl, vol 36(4), pp.3-14, (2006).

DOI: 10.1145/1151659.1159916

Google Scholar

[5] A. Schuster, The impact of Microsoft Windows pool allocation strategies on memory for ensics, Digital Investigation, vol 05, pp.58-64, (2008).

DOI: 10.1016/j.diin.2008.05.007

Google Scholar

[6] Joyce R, et al, MEGA: A tool for Mac OS X operating system and application forensics, Digital Investigation, vol 05, pp.83-90, (2008).

DOI: 10.1016/j.diin.2008.05.011

Google Scholar