The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Data Center Network Virtualization: A Survey
Abstract
With the growth of data volumes and variety of Internet applications, data centers (DCs) have become an efficient and promising infrastructure for supporting data storage, and providing the platform for the deployment of diversified network services and applications (e.g., video streaming, cloud computing). These applications and services often impose multifarious resource demands (storage, compute power, bandwidth, latency) on the underlying infrastructure. Existing data center architectures lack the flexibility to effectively support these applications, which results in poor support of QoS, deployability, manageability, and defence against security attacks. Data center network virtualization is a promising solution to address these problems. Virtualized data centers are envisioned to provide better management flexibility, lower cost, scalability, better resources utilization, and energy efficiency. In this paper, we present a survey of the current state-of-the-art in data center networks virtualization, and provide a detailed comparison of the surveyed proposals. We discuss the key research challenges for future research and point out some potential directions for tackling the problems related to data center design.
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Cites
MapReduce: simplified data processing on large clusters
Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476
McKeown (2008) · doi:10.1145/1355734.1355746 · Cited by 8,513
Principles and Practices of Interconnection Networks
Dally, W. J., & Towles, B. (2004) · Cited by 3,289
A scalable, commodity data center network architecture
Al-Fares, M., Loukissas, A., & Vahdat, A. (2008) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1402946.1402967 · Cited by 3,175
Multiprotocol Label Switching Architecture
Rosen, E., Viswanathan, A., & Callon, R. (2001) · doi:10.17487/rfc3031 · Cited by 2,976
VL2: a scalable and flexible data center network
Greenberg, A., Hamilton, J. R., Jain, N., Kandula, S., Kim, C., Lahiri, P., Maltz, D. A., Patel, P., & Sengupta, S. (2009) · Proceedings of the ACM SIGCOMM 2009 conference on Data communication · doi:10.1145/1592568.1592576 · Cited by 2,111
Alizadeh, M., Greenberg, A., Maltz, D. A., Padhye, J., Patel, P., Prabhakar, B., Sengupta, S., & Sridharan, M. (2010) · Proceedings of the ACM SIGCOMM 2010 conference · doi:10.1145/1851182.1851192 · Cited by 1,877
A scalable, commodity data center network architecture
Al-Fares, M., Loukissas, A., & Vahdat, A. (2008) · Proceedings of the ACM SIGCOMM 2008 conference on Data communication · doi:10.1145/1402958.1402967 · Cited by 1,679
The cost of a cloud: research problems in data center networks
Greenberg, A., Hamilton, J., Maltz, D. A., & Patel, P. (2008) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1496091.1496103 · Cited by 1,621
Efficient fair queuing using deficit round-robin
Shreedhar, M., & Varghese, G. (1996) · IEEE/ACM Transactions on Networking · doi:10.1109/90.502236 · Cited by 1,399
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A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
Software-Defined Networking: A Comprehensive Survey
Kreutz, D., Ramos, F. M. V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., & Uhlig, S. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2371999 · Cited by 5,050
Distributed SDN Control: Survey, Taxonomy, and Challenges
Bannour, F., Souihi, S., & Mellouk, A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2782482 · Cited by 452
A Survey on Data Center Networking (DCN): Infrastructure and Operations
Xia, W., Zhao, P., Wen, Y., & Xie, H. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2626784 · Cited by 267
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Metadata
- Authors
- Bari, M. F., Boutaba, R., Esteves, R., Granville, L. Z., Podlesny, M., Rabbani, M. G., Zhang, Q., & Zhani, M. F.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2013
- Volume
- 15
- Issue
- 2
- Pages
- 909-928
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2002227246
- Cited by
- 677
- References
- 49
- FWCI
- 81.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bari, M. F., Boutaba, R., Esteves, R., Granville, L. Z., Podlesny, M., Rabbani, M. G., Zhang, Q., & Zhani, M. F. (2013). Data Center Network Virtualization: A Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2012.090512.00043
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