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Optical trends in data centers architectures for smart cities

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Abstract

This paper aims to present a new data center topology using new components such as top of rack (ToR), switches for the aggregation of each rack, optical space switches (OSS) used for intra/inter connectivity, and software defined network (SDN) as control plane for the configuration of the associated network resources. The effect of flows streams is examined further on the performance of the data centers developed into smart cities. Moreover, a comparison between the traditional non-blocking hierarchical network and the proposed new topology all-optical in terms of completion time for multicast and unicast flows are presented.

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References

  1. Open Networking Foundation [on-line], available from website: http://www.opennetworking.org. Accessed 12 May 2015

  2. Mc Keown N, Anderson T, Balakrishan H, Parulkar G, Peterson L, Rexford Shenker J, Turner J. Openflow: enabling innovation in campus networks, in ACM Sigcomm Computer Communication Review 38(2):69–74

  3. Guo, C, Xiong Y, Zhnag Y (2011) Datacast: a scalable and efficient group data delivery service for data centers, in: ACM CoNEXT 2012, Nice, France

  4. Al-Fares M, Radhakrishnan S, Raghavan B, Huang N, Vahdat A (2010) Hedera: dynamic flow scheduling for data center networks, in Proceedings of the 7th USENIX conference on Networked systems design and implementation (NSDI’10), USA, pp 9–19

  5. Chandra B, Halldorsson MM (2001) Greedy Local Improvement and weighted set packing approximation. J Algorithms 39(2):223–240

    Article  MathSciNet  MATH  Google Scholar 

  6. Paschos VT (1997) A survey of Approximately optimal solutions to some covering and packing problems. ACM Comput Surv 29(2):171–209

    Article  Google Scholar 

  7. Kandula S, Sengrupta S, Greenberg A, Patel P, Chaiken R (2009) The nature of data center traffic: Measurements and Analysis. In IMC’09, pp 202–208, USA

  8. Stephens B. Designing scalable networks for future large datacenters, Msc. Thesis, Rise University, USA

  9. Borodin A (2010) CSC2420-Fall 2010-Lecture 5, www.cs.toronto.edu/~bor/2420f10/L5.pdf

  10. Marschke D, Doyle J, Moyer P (2015) Software Defined Network: An anatomy of openflow, vol.1, ISBN 978-1-4834-2723-2

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Authors and Affiliations

  1. Rochester Institute of Technology, P.O. Box 341055, Dubai, UAE

    Ioannis Karamitsos

  2. Telecom Consultant, Athens, Greece

    Christos Apostolopoulos

Authors
  1. Ioannis Karamitsos
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  2. Christos Apostolopoulos
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Correspondence to Ioannis Karamitsos.

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Karamitsos, I., Apostolopoulos, C. Optical trends in data centers architectures for smart cities. Int. j. inf. tecnol. 10, 3–9 (2018). https://doi.org/10.1007/s41870-017-0053-4

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  • DOI: https://doi.org/10.1007/s41870-017-0053-4

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