The Application of Fat Tree Model in Data Center Network

Ying Peng Guo; Hui Wang

doi:10.4028/www.scientific.net/AMR.271-273.987

Paper Titles

Subjective Variability in Gross Tumor Volume Delineation of Lung Cancer and its Influence to Normal Tissue Complication Probability
p.967

Influence of CT Window Techniques on Gross Tumor Volume Delineation of Lung Cancer
p.973

Packets Routing Implementation of Mobile IP Systems
p.978

Research of the Welding Wire Sending System Based on Fuzzy Adaptive-Adjusting PID Control
p.983

The Application of Fat Tree Model in Data Center Network
p.987

The Application and Design of the Smart Home Wireless Bus Protocol Based on the NRF24L01
p.991

CFD Simulation Analysis on Fire Feature of Tunnel with Different Sections of Smoke Outlet
p.995

Research on Fire Protection Planning Technology of Shanghai 2010 World Expo Site
p.1000

Simulation Analysis on Smoke Characteristics of Tunnel Fire with Different Cross Passage Interval
p.1003

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 271-273The Application of Fat Tree Model in Data Center...

The Application of Fat Tree Model in Data Center Network

Abstract:

Data center develops rapidly in recent years. With the emergence of new equipment and technology, data center network encounters many problems. Fat tree model is proposed and solves some problems. However it has some drawbacks. Based on the previous studies and current technology this article improves and proposes an amendment model which is higher availability and more efficient for actual situation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Pages:

987-990

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.271-273.987

Citation:

Cite this paper

Online since:

July 2011

Authors:

Ying Peng Guo, Hui Wang

Keywords:

Cloud Computing, Data Center, Fat-Tree

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Scott J. Simon: Network Theory: 80/20 Rule and Small Worlds Theory, information on shell. cas. usf. edu/~simon/ documents/Network%20Theory. pdf.

Google Scholar

[2] Sven-Arne Reinemo, Tor Skeie, Manoj K. Wadekar. Ethernet For High-Performance Date Centers: On the New IEEE Datacenter bridging Standards, IEEE Computer Society, July/August (2010), pp.42-51.

DOI: 10.1109/mm.2010.65

Google Scholar

[3] Xuan-Yi Lin, Yeh-Ching Chung, and Tai-Yi Huang: A Multiple LID Routing Scheme for Fat-Tree-Based InfiniBand Networks, information on www. cs. nthu. edu. tw/~ychung /conference/MLID. pdf.

DOI: 10.1109/ipdps.2004.1302913

Google Scholar

[4] Vahdat A, Al-Fares M, Farrington N, et al: Scale-Out Networking in the Data Center, IEEE Computer Society, July/August (2010), pp.29-41.

DOI: 10.1109/mm.2010.72

Google Scholar

[5] H3C: IRF2. 0 Technology White Paper, information on http: /www. h3c. com/portal/ Products__Solutions /Technology/IRF/Technology_White_Paper/200901/624932_57_0. htm.

Google Scholar

[6] Cisco: Cisco Catalyst 6500 VSS and Cisco Nexus 7000 vPC Interoperability and Best Practices, information on http: /www. cisco. com/en/US/prod/collateral/switches/ps5718/ ps708/white_paper_c11_589890. html.

DOI: 10.1201/9780367809041-8

Google Scholar

[7] Guo Yingpeng. Availability computing and planning for data network and computer room, Guangdong Communication Technology Volume 28(2008), pp.53-58.

Google Scholar