Recommendation-Based Bandwidth Calendaring for Packet Transport Network
This paper proposes a recommendation-based bandwidth calendaring system for packet transport networks. The system provides a user-portal interface with which users can directly reserve packet transport resources. In this regard, the system recommends multi-grade (e.g., multi-price) reservation plans...
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Veröffentlicht in: | IEICE Transactions on Communications 2017/01/01, Vol.E100.B(1), pp.122-130 |
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container_title | IEICE Transactions on Communications |
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creator | KAMAMURA, Shohei HAYASHI, Rie DATE, Hiroki YAMAMOTO, Hiroshi MIYAMURA, Takashi UEMATSU, Yoshihiko GENDA, Kouichi |
description | This paper proposes a recommendation-based bandwidth calendaring system for packet transport networks. The system provides a user-portal interface with which users can directly reserve packet transport resources. In this regard, the system recommends multi-grade (e.g., multi-price) reservation plans. By adjusting grades of plans in accordance with network resource utilization, this system provides not only reservation flexibility for users but also efficient utilization of network resources. For recommending multi-grade plans, pre-computation of resource allocation is required for every time slot. Because the number of time slots is huge, we also propose an algorithm for fast computation of resource allocation based on time-slot aggregation. Our evaluation suggests that our algorithm can produce a sub-optimal solution within quasi-real time for a large-scale network. We also show that our recommendation-based system can increase the service-provider-revenue in peaky traffic demand environments. |
doi_str_mv | 10.1587/transcom.2016EBP3126 |
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The system provides a user-portal interface with which users can directly reserve packet transport resources. In this regard, the system recommends multi-grade (e.g., multi-price) reservation plans. By adjusting grades of plans in accordance with network resource utilization, this system provides not only reservation flexibility for users but also efficient utilization of network resources. For recommending multi-grade plans, pre-computation of resource allocation is required for every time slot. Because the number of time slots is huge, we also propose an algorithm for fast computation of resource allocation based on time-slot aggregation. Our evaluation suggests that our algorithm can produce a sub-optimal solution within quasi-real time for a large-scale network. 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Commun.</addtitle><date>2017-01-01</date><risdate>2017</risdate><volume>E100.B</volume><issue>1</issue><spage>122</spage><epage>130</epage><pages>122-130</pages><issn>0916-8516</issn><eissn>1745-1345</eissn><abstract>This paper proposes a recommendation-based bandwidth calendaring system for packet transport networks. The system provides a user-portal interface with which users can directly reserve packet transport resources. In this regard, the system recommends multi-grade (e.g., multi-price) reservation plans. By adjusting grades of plans in accordance with network resource utilization, this system provides not only reservation flexibility for users but also efficient utilization of network resources. For recommending multi-grade plans, pre-computation of resource allocation is required for every time slot. Because the number of time slots is huge, we also propose an algorithm for fast computation of resource allocation based on time-slot aggregation. Our evaluation suggests that our algorithm can produce a sub-optimal solution within quasi-real time for a large-scale network. We also show that our recommendation-based system can increase the service-provider-revenue in peaky traffic demand environments.</abstract><cop>Tokyo</cop><pub>The Institute of Electronics, Information and Communication Engineers</pub><doi>10.1587/transcom.2016EBP3126</doi><tpages>9</tpages></addata></record> |
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source | Alma/SFX Local Collection |
subjects | Algorithms Bandwidth bandwidth calendaring Flexibility Networks packet transport network Packets (communication) recommendation Reserves Resource allocation Resource utilization SDN controller Transportation networks |
title | Recommendation-Based Bandwidth Calendaring for Packet Transport Network |
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