Literature DB >> 25089383

Performance evaluation of time-aware enhanced software defined networking (TeSDN) for elastic data center optical interconnection.

Hui Yang, Jie Zhang, Yongli Zhao, Yuefeng Ji, Hui Li, Yi Lin, Gang Li, Jianrui Han, Young Lee, Teng Ma.   

Abstract

Data center interconnection with elastic optical networks is a promising scenario to meet the high burstiness and high-bandwidth requirements of data center services. We previously implemented enhanced software defined networking over elastic optical network for data center application [Opt. Express 21, 26990 (2013)]. On the basis of it, this study extends to consider the time-aware data center service scheduling with elastic service time and service bandwidth according to the various time sensitivity requirements. A novel time-aware enhanced software defined networking (TeSDN) architecture for elastic data center optical interconnection has been proposed in this paper, by introducing a time-aware resources scheduling (TaRS) scheme. The TeSDN can accommodate the data center services with required QoS considering the time dimensionality, and enhance cross stratum optimization of application and elastic optical network stratums resources based on spectrum elasticity, application elasticity and time elasticity. The overall feasibility and efficiency of the proposed architecture is experimentally verified on our OpenFlow-based testbed. The performance of TaRS scheme under heavy traffic load scenario is also quantitatively evaluated based on TeSDN architecture in terms of blocking probability and resource occupation rate.

Year:  2014        PMID: 25089383     DOI: 10.1364/OE.22.017630

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network.

Authors:  Hui Yang; Jie Zhang; Yuefeng Ji; Yongqi He; Young Lee
Journal:  Sci Rep       Date:  2016-07-28       Impact factor: 4.379

  1 in total

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