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虚拟网络映射节能算法研究
  • ISSN号:1673-629X
  • 期刊名称:《计算机技术与发展》
  • 时间:0
  • 分类:TP301.6[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构:南京邮电大学通信与信息工程学院,江苏南京210003
  • 相关基金:国家自然科学基金资助项目(61372124);国家“973”重点基础研究发展计划项目(2013CB329104)
中文摘要:

虚拟网络映射是一种解决未来互联网发展问题的关键技术,该技术能够使多个异构的虚拟网络共存于同一个物理网络,共享底层资源。但目前的虚拟网络映射算法大多是针对网络负载较高的情况,且多属启发式的映射算法,在网络负载较低时,虚拟网络映射可能引起底层资源不能被充分利用,导致网络能耗的浪费。随着大规模网络的发展,底层网络设备的能耗问题越来越受到关注。虚拟网络映射节能算法,通过对底层网络资源的整合,可保证在不影响正常通信的情况下,有效地解决虚拟网络映射过程中的能耗浪费问题。基于此,主要对虚拟网络映射的节能算法进行调查研究,对虚拟网络中的节能问题进行了重点描述,归纳了典型的能耗模型,分析了典型算法的映射过程以及指标,并讨论了未来的研究方向。

英文摘要:

Virtual Network Embedding (VNE) is a crucial technique to overcome development barriers of future Interact, which could permit multiple heterogeneous virtual networks to coexist in a common physical one for sharing substrate resources. However, current mapping algorithms of virtual network are mainly suitable for the situation that network traffic load is often high and mostly belong to heuristic mapping algorithm, which could lead to waste of network energy consumption and insufficient utilization of substrate resources as network energy consumption is low. With development of large scale network, problem for energy consumption of substrate network has attracted more and more attention. Energy-aware VNE Algorithm could effectively solve this problem by resource consolidation of substrate network under the condition that normal communication is ensured. Several energy saving algorithms have been investigated be- sides energy saving problem in virtual network has been emphasized and depicted. Classical models of energy consumption have also been sorted and discussed. Analysis on mapping processes of classical algorithms and their parameter indices have been conducted and the future investigation direction has been proposed.

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期刊信息
  • 《计算机技术与发展》
  • 中国科技核心期刊
  • 主管单位:陕西省工业和信息化厅
  • 主办单位:陕西省计算机学会
  • 主编:王守智
  • 地址:西安市雁塔路南段99号
  • 邮编:710054
  • 邮箱:ctad@vip.163.com
  • 电话:029-85522163
  • 国际标准刊号:ISSN:1673-629X
  • 国内统一刊号:ISSN:61-1450/TP
  • 邮发代号:52-127
  • 获奖情况:
  • 《CAJ-CD规范》执行优秀期刊
  • 国内外数据库收录:
  • 中国中国科技核心期刊
  • 被引量:21263