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Resource Scheduling in NG-EPON and Optical Datacenter Networks
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Resource Scheduling in NG-EPON and Optical Datacenter Networks. |
| 개인저자 | Wang, Lin. |
| 단체저자명 | University of California, Davis. Computer Science. |
| 발행사항 | [S.l.]: University of California, Davis., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 107 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-02B. Dissertation Abstract International |
| ISBN | 9781085581660 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Davis, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Advisor: Mukherjee, Biswanath. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 요약 | Recently, IEEE 802.3 Ethernet Working Group has proposed a wavelength-agile (WA) PON as a promising candidate for Next-Generation Ethernet passive optical network (NG-EPON). We develop a mathematical model and a novel dynamic bandwidth and wavelength allocation (DBWA) scheme for transmission scheduling in WA-PON. Also, as WA-PON incurs penalties in terms of delay and power consumption when an ONU activates its transmissions on new wavelengths, a trade-off between energy saving and data-transfer latency reduction needs to be carefully addressed when performing transmission scheduling. So, we develop a power-consumption model and modify the proposed DBWA scheme to enhance the energy efficiency of WA-PON.Besides access network, optical networking plays an important role in intra-datacenter networks. We present a Packet-Switched Optical Network (PSON) architecture with centralized control for intra-datacenter connectivity. For efficient PSON operation, intelligent yet low-complexity bandwidth-scheduling algorithms are critical. To classify traffic flows with different characteristics, we investigate various machine learning (classification) techniques, and compare their performance in terms of accuracy and classification speed. We also develop a priority-aware scheduling algorithm for packet switching, which is optimized for PSON, and is adaptive to flow classification under dynamic traffic scenario.Inter-datacenter optical networking techniques, such as flex-grid switching, have been recognized as the solution for backbone networks. However, they may fall short in efficiently provisioning traffic requests for intra-datacenter networks. We investigate an Optical Time Slice Switching (OTSS) enabled flex-grid (OTSS-FG) architecture for intra-datacenter networks. For scenarios where traffic flows are given, we develop a Mixed Integer Linear Program to study the optimal bandwidth allocation scheme in an OTSS-FG architecture. When traffic flows are generated in real time, by leveraging machine-learning techniques to detect flow types, we propose a flow-aware bandwidth allocation (FABA) scheme and a dynamic version of FABA, called "D-FABA" scheme.Then, we study traffic flows for intra-datacenter networks. Coflow is a networking abstraction to convey application-level communication requirements by exposing rich semantics of data-parallel computing applications to underlying networks, e.g., latency of data transmission between two computation stages, known as "Coflow Completion Time" (CCT). We study how to minimize CCT in PSON-enabled datacenters by placing senders and receivers of Coflows to proper transceiver nodes and scheduling data transmission wisely, for which we propose a Coflow-aware placement and scheduling algorithm, consisting of Min-Priority placement algorithm and Priority-aware scheduling algorithm. They are designed to cooperate with each other to jointly minimize CCT. Finally, we conclude four works and discuss open problem of OTSS-enabled Flex-grid network architecture. |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
