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2017 IEEE 25th International Conference on Network Protocols (ICNP)最新文献

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Space Shuffle: A Scalable, Flexible, and High-Bandwidth Data Center Network 空间洗牌:一种可扩展、灵活、高带宽的数据中心网络
Pub Date : 2014-10-21 DOI: 10.1109/ICNP.2014.23
Ye Yu, Chen Qian
Data center applications require the network to be scalable and bandwidth-rich. Current data center network architectures often use rigid topologies to increase network bandwidth. A major limitation is that they can hardly support incremental network growth. Recent studies propose to use random interconnects to provide growth flexibility. However, routing on a random topology suffers from control and data plane scalability problems, because routing decisions require global information and forwarding state cannot be aggregated. In this paper, we design a novel flexible data center network architecture, Space Shuffle (S2), which applies greedy routing on multiple ring spaces to achieve high-throughput, scalability, and flexibility. The proposed greedy routing protocol of S2 effectively exploits the path diversity of densely connected topologies and enables key-based routing. Extensive experimental studies show that S2 provides high bisectional bandwidth and throughput, near-optimal routing path lengths, extremely small forwarding state, fairness among concurrent data flows, and resiliency to network failures.
数据中心应用要求网络具有可扩展性和丰富的带宽。当前的数据中心网络架构通常使用刚性拓扑来增加网络带宽。一个主要的限制是它们很难支持网络的增量增长。最近的研究建议使用随机互连来提供增长灵活性。然而,随机拓扑上的路由存在控制和数据平面可伸缩性问题,因为路由决策需要全局信息,并且转发状态不能聚合。在本文中,我们设计了一种新的灵活的数据中心网络架构,空间Shuffle (S2),它在多个环空间上应用贪婪路由来实现高吞吐量、可扩展性和灵活性。提出的贪婪路由协议S2有效地利用了密集连接拓扑的路径多样性,实现了基于密钥的路由。大量的实验研究表明,S2提供了高的对分带宽和吞吐量、接近最优的路由路径长度、极小的转发状态、并发数据流之间的公平性以及对网络故障的弹性。
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引用次数: 28
Message from the technical program chairs 来自技术项目主席的信息
Pub Date : 2013-12-01 DOI: 10.1109/ICNP.2013.6733568
T. Wolf, Lixia Zhang, Zhi-Li Zhang
We were able to put together an excellent technical program for ICNP 2013, thanks to the joint efforts by our authors, TPC members, and technical area leads. We received 251 submissions to the main conference this year, the highest number in ICNP's 21-year history. Each paper received at least three reviews, and the 66 technical program committee members produced 765 paper reviews. The 11 area chairs ensured review quality and consistency between reviewers. The final papers for the main conference were selected during a TPC meeting in July. To accommodate for the larger number of submissions, we decided to shorten paper presentations slightly. Overall, 46 papers were accepted for presentation at the conference, which corresponds to an acceptance rate of 18.3%.
由于我们的作者、TPC成员和技术领域领导者的共同努力,我们能够为ICNP 2013制定一个出色的技术计划。今年我们收到了251份提交给主要会议的意见书,这是ICNP 21年历史上的最高数字。每篇论文至少接受了三次评审,66名技术项目委员会成员审阅了765篇论文。11个领域主席确保了审查质量和审稿人之间的一致性。主要会议的最终论文是在7月份的TPC会议上选定的。为了容纳更多的提交,我们决定稍微缩短论文展示时间。本次会议共接收论文46篇,接受率为18.3%。
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引用次数: 0
Towards bandwidth guarantee in multi-tenancy cloud computing networks 面向多租户云计算网络的带宽保障
Pub Date : 2012-10-30 DOI: 10.1109/ICNP.2012.6459986
Jing Zhu, Dan Li, Jianping Wu, Hongnan Liu, Y. Zhang, Jingcheng Zhang
To efficiently utilize their infrastructure and thus increase their revenue, cloud providers need mechanisms to provide resource allocation and performance isolation for different tenants in the shared platform. In particular, network bandwidth sharing is a critical yet still an open problem to most cloud providers. In this paper, we study the problem of virtual machine (VM) allocation under the consideration of providing bandwidth guarantees. We first propose an online allocation algorithm for tenants with homogeneous bandwidth demand, which improves on the accuracy of existing algorithms. Subsequently, we extend it to handle heterogeneous bandwidth demand. Extensive simulations show that our algorithm makes much more efficient utilization of the network resource than existing algorithms, and performs close to the optimal offline allocation.
为了有效地利用其基础设施,从而增加收入,云提供商需要为共享平台中的不同租户提供资源分配和性能隔离的机制。特别是,网络带宽共享对大多数云提供商来说是一个关键但仍未解决的问题。本文研究了在提供带宽保证的情况下,虚拟机的分配问题。本文首先提出了一种基于均匀带宽需求的租户在线分配算法,提高了现有算法的准确性。随后,我们将其扩展到处理异构带宽需求。大量的仿真表明,该算法比现有算法更有效地利用了网络资源,并接近最优离线分配。
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引用次数: 16
A Framework for Flexible Networking 一个灵活的网络框架
Pub Date : 1995-11-07 DOI: 10.1109/ICNP.1995.10000
M. Moser, S. Sugiura, K. Sugawara, N. Shiratori
Abstract Many of today' s applications, especially applications using a computer network, are rigid, both as far as user requirements and computational assets are concerned. The first problem limits ordmary users to the functions offered by the system as is, while the second one leads applications to degrade disgracefully, if the availability of assets changes while the applicaiion is running. In this paper we first analyze both problems and their interconnection, then give a unifying theoretical framework to deal with changes in the user requirements and computational assets. We then propose the Flexible Networking Kernel, which allows users to specify the kind of service they desire using a high level language, and then supplies the best service possible with the currently available computational assets compensating changes in both the user requirements and computational assets.
当今的许多应用程序,特别是使用计算机网络的应用程序,在用户需求和计算资产方面都是刚性的。第一个问题将普通用户限制在系统提供的功能中,而第二个问题则导致应用程序严重降级,如果资产的可用性在应用程序运行时发生了变化。本文首先分析了这两个问题及其相互联系,然后给出了一个统一的理论框架来处理用户需求和计算资产的变化。然后我们提出了灵活的网络内核,它允许用户使用高级语言指定他们想要的服务类型,然后用当前可用的计算资产提供最好的服务,补偿用户需求和计算资产的变化。
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引用次数: 0
期刊
2017 IEEE 25th International Conference on Network Protocols (ICNP)
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