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面向SDN网络的分布式轻量级大流检测算法
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作者 周京晶 黄河 +2 位作者 孙玉娥 杜扬 张博宇 《中国科学:信息科学》 CSCD 北大核心 2023年第10期1924-1944,共21页
在SDN (software-defined networks)网络中检测大流对负载均衡、异常检测、流量工程等网络应用的实施及网络服务质量的提升至关重要. SDN网络通常使用流表统计流量数据,但由于存储流表的三态内容寻址寄存器(ternary content addressable... 在SDN (software-defined networks)网络中检测大流对负载均衡、异常检测、流量工程等网络应用的实施及网络服务质量的提升至关重要. SDN网络通常使用流表统计流量数据,但由于存储流表的三态内容寻址寄存器(ternary content addressable memory, TCAM)资源有限,仅凭流表无法从海量网络数据中识别出所有大流,需要使用紧凑数据结构作为额外的测量模块来辅助检测.现有的研究多考虑将测量模块部署在单台或边缘交换机上,但交换机中的高速存储资源和计算资源极度紧缺,处于高流量链路上的交换机会因执行测量任务承受过高的负载,甚至影响交换机核心功能的执行.为此,本文提出了一种面向SDN网络的分布式轻量级大流检测方案.该方案将网络流量测量任务分摊至全网交换机,进而实现测量负载的均衡,并结合所设计的轻量级测量模块,有效降低了每台交换机执行测量任务所需的计算和存储开销.实验结果证明该方案较已有最新研究成果具有更高的测量精度及更低的计算和存储开销. 展开更多
关键词 SDN网络 网络流量测量 大流检测 分布式测量 SKETCH
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Privacy-Preserving Strategyproof Auction Mechanisms for Resource Allocation
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作者 yu-e sun He Huang +4 位作者 Xiang-Yang Li Yang Du Miaomiao Tian Hongli Xu Mingjun Xiao 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2017年第2期119-134,共16页
In recent years, auction theory has been extensively studied and many state-of-the-art solutions have been proposed aiming at allocating scarce resources. However, most of these studies assume that the auctioneer is a... In recent years, auction theory has been extensively studied and many state-of-the-art solutions have been proposed aiming at allocating scarce resources. However, most of these studies assume that the auctioneer is always trustworthy in the sealed-bid auctions, which is not always true in a more realistic scenario. Besides the privacy-preserving issue, the performance guarantee of social efficiency maximization is also crucial for auction mechanism design. In this paper, we study the auction mechanisms that consider the above two aspects. We discuss two multi-unit auction models: the identical multiple-items auction and the distinct multiple-items auction.Since the problem of determining a multi-unit auction mechanism that can maximize its social efficiency is NPhard, we design a series of nearly optimal multi-unit auction mechanisms for the proposed models. We prove that the proposed auction mechanisms are strategyproof. Moreover, we also prove that the privacy of bid value from each bidder can be preserved in the auction mechanisms. To the best of our knowledge, this is the first work on the strategyproof multi-unit auction mechanisms that simultaneously consider privacy preservation and social efficiency maximization. The extensive simulations show that the proposed mechanisms have low computation and communication overheads. 展开更多
关键词 approximation mechanism multi-unit auction privacy preserving social efficiency strategyproof
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