Dynamic Resource Scheduling and Optimization in Elastic Optical Networks

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Dynamic Resource Scheduling and Optimization in Elastic Optical Networks

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Title: Dynamic Resource Scheduling and Optimization in Elastic Optical Networks
Author(s):
Wang, Nannan
Advisor: Jue, Jason P.
Date Created: 2017-08
Format: Dissertation
Keywords: Show Keywords
Abstract: Due to rapid growth of network traffic volume, traditional Wavelength Division Multiplexing (WDM) networks cannot meet current growing demands. Elastic optical networks (EONs) are promising optical backbone network candidates to satisfy these new challenges. Based on optical orthogonal frequency division multiplexing (O-OFDM) technology, elastic optical networks support different high line rates beyond 100 Gb/s, while achieving higher spectrum resource efficiency. Furthermore, in elastic optical networks, we can use different modulation formats such as DP-BPSK, DP-QPSK, and DP-16-QAM to set up lightpath connections so as to raise spectrum resource utilization. In this dissertation, in terms of different traffic demands, we study the problem of routing, modulation and spectrum assignment (RMSA) in elastic optical networks. First, we study the routing, modulation and spectrum assignment problem for holding-time-aware network requests. In elastic optical networks, for each line rate request with certain holding time, we need to allocate enough spectrum resource to satisfy the requirement. We divide the requests into two types, those that include immediate reservation (IR) requests and those with advance reservation (AR) requests. In terms of different requests, we design different heuristic algorithms to satisfy their requirement. Second, spectrum fragmentation in elastic optical networks is another important issue that we need to consider. When we set up and tear down lightpath connections in EONs, the spectrum resource will be fragmented, which decreases spectrum resource utilization. In this work, we mainly consider two types of fragmentation including spectrum fragmentation and time fragmentation. We design fragmentation-aware routing, modulation and spectrum assignment algorithms to proactively prevent spectrum fragments. Third, large data-flow transfer is a big challenge for elastic optical networks. Data-flow transfer such as data backup and data migration grow exponentially among datacenters. Hence, we study how to transfer fixed data amount in a certain time domain. A dynamic routing, modulation and spectrum assignment algorithm is designed to meet data-flow transfer in elastic optical networks. Finally, the survivability problem for data-flow transfer plays a vital role in elastic optical inter-datacenter networks. Man-made errors and uncontrollable natural disaster will result in a huge data loss. In order to meet service level agreement (SLA), we need to set up a protection lightpath connection for each data-flow transfer. In this dissertation, we design survivable bulk data-flow transfer strategies for each data-flow transfer.
Degree Name: PHD
Degree Level: Doctoral
Persistent Link: http://hdl.handle.net/10735.1/5499
Type : text
Degree Program: Computer Science

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