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Bitcoin for smart trading in smart grid 智能电网中智能交易的比特币
Pub Date : 2015-04-22 DOI: 10.1109/LANMAN.2015.7114742
M. T. Alam, H. Li, A. Patidar
Privacy aware anonymous trading for smart grid using digital currency has received very low attention so far. In this paper, we analyze the possibility of Bitcoin serving as the user friendly and effective privacy aware trading currency to facilitate energy exchange for smart grid.
目前,基于数字货币的智能电网隐私匿名交易受到的关注非常少。在本文中,我们分析了比特币作为用户友好和有效的隐私意识交易货币来促进智能电网能源交换的可能性。
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引用次数: 27
Virtual function placement and traffic steering in flexible and dynamic software defined networks 灵活动态软件定义网络中的虚拟功能定位和流量控制
Pub Date : 2015-04-22 DOI: 10.1109/LANMAN.2015.7114738
Ali Mohammadkhan, S. Ghapani, Guyue Liu, Wei Zhang, K. Ramakrishnan, Timothy Wood
The integration of network function virtualization (NFV) and software defined networks (SDN) seeks to create a more flexible and dynamic software-based network environment. The line between entities involved in forwarding and those involved in more complex middle box functionality in the network is blurred by the use of high-performance virtualized platforms capable of performing these functions. A key problem is how and where network functions should be placed in the network and how traffic is routed through them. An efficient placement and appropriate routing increases system capacity while also minimizing the delay seen by flows. In this paper, we formulate the problem of network function placement and routing as a mixed integer linear programming problem. This formulation not only determines the placement of services and routing of the flows, but also seeks to minimize the resource utilization. We develop heuristics to solve the problem incrementally, allowing us to support a large number of flows and to solve the problem for incoming flows without impacting existing flows.
网络功能虚拟化(NFV)和软件定义网络(SDN)的融合旨在创造一个更加灵活和动态的基于软件的网络环境。通过使用能够执行这些功能的高性能虚拟化平台,参与转发的实体和参与网络中更复杂的中间盒功能的实体之间的界限变得模糊了。一个关键的问题是网络功能应该如何以及放在网络中的什么位置,以及流量如何通过它们路由。有效的布局和适当的路由增加了系统容量,同时也减少了流所看到的延迟。本文将网络功能的布局和路由问题表述为一个混合整数线性规划问题。此公式不仅确定了服务的位置和流的路由,而且还寻求最小化资源利用率。我们开发了启发式方法来增量地解决问题,使我们能够支持大量的流,并在不影响现有流的情况下为传入流解决问题。
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引用次数: 109
APP: adaptively protective policy against cache thrashing and pollution APP:自适应保护策略,防止缓存抖动和污染
Pub Date : 2015-04-22 DOI: 10.1109/LANMAN.2015.7114731
Saeid Montazeri Shahtouri, Richard T. B. Ma
Least Recently Used (LRU) is the most commonly used cache replacement policy; however, it suffers from two problems: i) cache thrashing, i.e., repeated references cause continuous page evictions due to a larger size of the working set than that of the cache, and ii) cache pollution, i.e., high reuse content gets evicted by items with low or no reuse from a cache. To solve these problems, prior works divide the cache into multiple segments and keeping the history of evicted pages, which impose high overhead in terms of memory. In this paper, we propose an adaptive cache replacement policy which divides the cache into two variable-sized segments: protected and unprotected. The division of cache segments is elastic in nature and can adaptively react to the workload changes without any history of evicted pages. We conduct extensive simulations using both synthetic and real workloads. Our evaluation shows that our policy can obtain the hit ratio close to the state of the art policies which keep history information of evicted pages up to multiple times of cache size.
最近最少使用(Least Recently Used, LRU)是最常用的缓存替换策略;然而,它有两个问题:i)缓存抖动,即由于工作集的大小大于缓存的大小,重复引用导致连续的页面清除;ii)缓存污染,即高重用的内容被缓存中低重用或没有重用的项清除。为了解决这些问题,以前的工作将缓存分成多个段,并保留被驱逐页面的历史记录,这在内存方面造成了很高的开销。在本文中,我们提出了一种自适应缓存替换策略,该策略将缓存分为两个可变大小的段:受保护的和未受保护的。缓存段的划分本质上是弹性的,可以自适应地对工作负载的变化做出反应,而不需要任何驱逐页面的历史记录。我们使用合成工作负载和真实工作负载进行了广泛的模拟。我们的评估表明,我们的策略可以获得接近当前策略状态的命中率,该策略将驱逐页面的历史信息保存到缓存大小的数倍。
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引用次数: 1
Power-saving NDN-based message delivery based on collaborative communication in disasters 基于灾难协同通信的省电ndn消息传递
Pub Date : 2015-04-22 DOI: 10.1109/LANMAN.2015.7114733
Suhwuk Kim, Yuki Urata, Y. Koizumi, T. Hasegawa
This paper proposes an NDN-based message delivery protocol over a cellular network in disasters. Collaborative communication among cellular devices is integrated into the protocol so that power consumed by battery-operated BSs (Base Stations) is reduced when a breakout occurs. A key idea is to reduce consumed radio resources by making cellular devices of which radio propagation quality is better forward messages of neighboring devices. The radio resource reduction contributes to reducing power consumed by a battery-operated BS.
提出了一种基于ndn的灾害蜂窝网络消息传递协议。蜂窝设备之间的协作通信集成到协议中,以便在发生突发事件时减少电池供电的基站(BSs)消耗的功率。一个关键的思想是通过使无线电传播质量更好的蜂窝设备转发相邻设备的消息来减少无线电资源的消耗。无线电资源的减少有助于减少电池供电的BS消耗的功率。
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引用次数: 8
Making mapreduce scheduling effective in erasure-coded storage clusters 使mapreduce调度在擦除编码存储集群中有效
Pub Date : 2015-04-22 DOI: 10.1109/LANMAN.2015.7114730
Runhui Li, P. Lee
With the explosive growth of data, enterprises increasingly adopt erasure coding on storage clusters to save storage space. On the other hand, erasure coding incurs higher performance overhead, especially during recovery. This motivates us to study the feasibility of alleviating performance overhead of erasure coding, while maintaining its storage efficiency advantage. In this paper, we study the performance issue of MapReduce when it runs on erasure-coded storage. We first review our previously proposed degraded-first scheduling, which avoids network bandwidth competition among degraded map tasks in failure mode, and hence improves the MapReduce performance over the default locality-first scheduling in MapReduce. We then show that the basic degraded-first scheduling may not work effectively when there are multiple running MapReduce jobs, and hence we propose heuristics to enhance the degraded-first scheduling design. Simulations demonstrate the performance gain of our enhanced degraded-first scheduling in a multi-job scenario. Our work makes a case that a new design of MapReduce scheduling is critical when we move to erasure-coded storage.
随着数据量的爆炸式增长,企业越来越多地在存储集群上采用擦除编码来节省存储空间。另一方面,擦除编码会带来更高的性能开销,特别是在恢复期间。这促使我们研究在保持擦除编码的存储效率优势的同时减轻其性能开销的可行性。在本文中,我们研究了MapReduce在擦除编码存储上运行时的性能问题。我们首先回顾了我们之前提出的退化优先调度,它避免了退化映射任务在故障模式下的网络带宽竞争,从而提高了MapReduce中默认的位置优先调度的性能。然后我们表明,当有多个正在运行的MapReduce作业时,基本的退化优先调度可能无法有效地工作,因此我们提出了启发式方法来增强退化优先调度设计。仿真结果表明,在多作业场景下,增强的退化优先调度的性能提高。我们的工作表明,当我们转向擦除编码存储时,MapReduce调度的新设计是至关重要的。
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引用次数: 1
A real-time method for detecting internet-wide SYN flooding attacks 一个实时的方法来检测整个互联网的SYN洪水攻击
Pub Date : 2015-04-22 DOI: 10.1109/LANMAN.2015.7114740
Lihua Miao, W. Ding, J. Gong
Reports show that DDoS attacks are ubiquitous on the Internet and may jeopardize networks' stable operation. In order to understand the nature of this threat and further to enable effective control and management, a whole picture of the Internet-wide attacks is a necessity. Traditional methods use darknets to this end. However, with the IPv4 address space exhaustion, darknets become hard to acquire. In this paper, we seek to detect Internet-wide attacks using a live network. In particular, we focus on the most prevalent SYN flooding attacks. First, a complete attack scenario model is introduced according to the positions of the attacker, the victim and the attacking address. Then, after discussing the features of all scenarios, an algorithm named WSAND is proposed to detect Internet-wide SYN flooding attacks using Netflow data. In order to evaluate it, the algorithm is deployed at 28 main PoPs (Points of Presence) of the China Education and Research Network (CERNET) and the total internal address space is up to 200/16 blocks. A large quantity of Internet-wide SYN flooding attacks detected in March 2014 is discussed in detail. With the help of the detected attacks, a case study of detecting an internal zombie is presented.
报告显示,DDoS攻击在互联网上无处不在,严重威胁网络的稳定运行。为了了解这种威胁的性质并进一步进行有效的控制和管理,有必要对整个internet范围内的攻击进行全面的了解。传统的方法使用暗网来达到这个目的。然而,随着IPv4地址空间的耗尽,暗网越来越难以获取。在本文中,我们试图使用实时网络来检测互联网范围内的攻击。我们特别关注最普遍的SYN泛洪攻击。首先,根据攻击者、被攻击对象和攻击地址的位置,建立了完整的攻击场景模型;然后,在讨论了所有场景的特征之后,提出了一种名为WSAND的算法,该算法利用Netflow数据检测全互联网范围内的SYN泛洪攻击。为了对其进行评估,将该算法部署在中国教育和研究网络(CERNET)的28个主要pop (point of Presence)上,内部总地址空间高达200/16块。详细讨论了2014年3月检测到的大量全互联网SYN泛洪攻击。借助检测到的攻击,给出了一个检测内部僵尸的案例研究。
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引用次数: 13
Performance modelling and analysis of mapreduce/hadoop workloads mapreduce/hadoop工作负载的性能建模和分析
Pub Date : 2015-04-01 DOI: 10.1109/LANMAN.2015.7114723
Xiao Yu, Wei Li
Data center is the infrastructure in big data processing, which constructs computing platform by distributed computer. The paper aims to investigate the analytical model by adopting queueing theory in data center of big data. The new queueing model developed fits the MapReduce programming model accurately and discovers the nature of the programming model. The utilizations and mean waiting times of Mapper and Reducer are obtained respectively. The effect of workload (and number of Mapper slots) on the system performance (i.e., utilization) is exposed. The significance of this paper is it explores the theoretical insight of the MapReduce programming model and provides the optimal parameter recommendation for computing resource configuration.
数据中心是大数据处理的基础设施,通过分布式计算机构建计算平台。本文旨在研究在大数据数据中心应用排队理论的分析模型。所建立的队列模型与MapReduce编程模型吻合较好,揭示了MapReduce编程模型的本质。得到了Mapper和Reducer的利用率和平均等待时间。暴露了工作负载(和Mapper插槽的数量)对系统性能(即利用率)的影响。本文的意义在于探索了MapReduce编程模型的理论洞见,并为计算资源配置提供了最优参数推荐。
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引用次数: 6
期刊
The 21st IEEE International Workshop on Local and Metropolitan Area Networks
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