Study on Cloud Computing Clusters Based on Coordination Method

Jing Wu; Feng Zhi Zhao; Yu Dan Dong

doi:10.4028/www.scientific.net/AMM.411-414.182

Paper Titles

Development for Management Information System of Resource-Oriented Science Research Institution Based on REST and AJAX
p.162

An Identity Authentication Scheme Based on Dynamic Password Technology
p.166

A Model of LBS Privacy Protection Based on Collaboration
p.172

Ontology-Based Semantic Similarity Measure with Concept Lattice
p.177

Study on Cloud Computing Clusters Based on Coordination Method
p.182

The Research on Dynamics Evolution Patterns of Online Public Opinion
p.186

EID System's Privacy Protection Enhancement Design
p.192

Structured Document Model in Digital Community
p.199

A Virtual Machine Scheduling Strategy Based on Grouping Genetic Algorithm in Cloud Environment
p.203

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Study on Cloud Computing Clusters Based on...

Study on Cloud Computing Clusters Based on Coordination Method

Abstract:

This paper makes the case that virtualization offers new opportunities to alleviate throughput collapse in data center Ethernet. We present the design, implementation, and evaluation of a prototype system, called XCo, which explicitly coordinates network transmissions from virtual machines across a cluster's Ethernet infrastructure. We show that explicit coordination can be implemented transparently without modifying any applications, standard protocols, network switches, or VMs.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

182-185

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.182

Citation:

Cite this paper

Online since:

September 2013

Authors:

Jing Wu, Feng Zhi Zhao, Yu Dan Dong

Keywords:

Cloud Computing, Coordination Method, Network Transmission

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M. Casado, M. J. Freedman, J. Pettit: Ethane: Taking control of the enterprise. SIGCOMM Comput. Commun. Rev., Vol. 37 (2007), pp.1-12.

DOI: 10.1145/1282427.1282382

Google Scholar

[2] J. Dean, S. Ghemawat: Mapreduce: Simplified data processing on large clusters. Communications of ACM, Vol. 51 (2008), p.107–113.

DOI: 10.1145/1327452.1327492

Google Scholar

[3] C. Diot, J. Y. L. Boudec: Control of best effort traffic. Network, Vol. 15 (2001), pp.14-15.

DOI: 10.1109/mnet.2001.923936

Google Scholar

[4] H. Zhang. Service disciplines for guaranteed performance service in packet-switching networks. In Proc. of IEEE, Vol. 83 (1995), pp.1374-1396.

DOI: 10.1109/5.469298

Google Scholar

[5] C. Hewitt: ORGs for scalable, robust, privacy-friendly client cloud computing. IEEE Internet Computing, Vol. 12 (2008), pp.96-99.

DOI: 10.1109/mic.2008.107

Google Scholar

[6] J. E. Richard, P. C. Thirkett: The strategic value of CRM: A technology adoption perspective. Journal of Strategic Marketing, Vol. 15 (2007), pp.421-439.

DOI: 10.1080/09652540701726793

Google Scholar

[7] J. Jackson: Cloud appeal: Public facing Web sites are a good way to test the variety of available services. Government Computer News, Vol. 28 (2009), pp.24-26.

Google Scholar

[8] N. Leavitt: Is cloud computing really ready for prime time. Computer, Vol. 42 (2009), pp.15-20.

DOI: 10.1109/mc.2009.20

Google Scholar

[9] P. Marshall: City in the cloud. Government Computer News, Vol. 27 (2008), pp.29-29.

Google Scholar

[10] P. Mika, G. Tummarello: Web semantics in the clouds. IEEE Intelligent Systems, Vol. 23 (2008), pp.82-87.

DOI: 10.1109/mis.2008.94

Google Scholar