Graph Filter: Enabling Efficient Topology Calibration

Luo Lailong; Guo Deke; Xu Jia; Luo Xueshan

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Graph Filter: Enabling Efficient Topology Calibration

机译：图形过滤器：启用高效的拓扑校准

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problem. In this paper, we design the graph filter, a novel space-efficient data structure to record not only the node set but also the link set of any given topology. Accordingly, given two topologies we aim to represent them via two respective graph filters, and thereafter deduce those different links in an invertible manner. To this end, we design three essential operations for graph filter, i.e., encoding, subtracting and decoding. Although such operations are sufficient to solve the topology calibration problem, two challenging issues still remain open. First, the

机译：问题。在本文中，我们设计了图过滤器，这是一种新颖的节省空间的数据结构，不仅可以记录节点集，还可以记录任何给定拓扑的链接集。因此，给定两个拓扑，我们旨在通过两个各自的图过滤器来表示它们，然后以可逆的方式推导那些不同的链接。为此，我们为图形滤波器设计了三个基本操作，即编码，减法和解码。尽管这样的操作足以解决拓扑结构校准问题，但仍然存在两个具有挑战性的问题。首先，

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来源
《IEEE Transactions on Parallel and Distributed Systems》 |2019年第12期|2730-2742|共13页
作者
Luo Lailong; Guo Deke; Xu Jia; Luo Xueshan;
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作者单位

Natl Univ Def Technol Sci & Technol Informat Syst Engn Lab Changsha 410073 Hunan Peoples R China;

Natl Univ Def Technol Sci & Technol Informat Syst Engn Lab Changsha 410073 Hunan Peoples R China|Tianjin Univ Sch Comp Sci & Technol Coll Intelligence & Comp Tianjin Key Lab Adv Networking TANK Tianjin Peoples R China;

Guangxi Univ Sch Comp Elect & Informat Guilin 530004 Guangxi Peoples R China;

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原文格式 PDF
正文语种 eng
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关键词
Topology; Network topology; Calibration; Decoding; Data structures; Encoding; Computer networks; topology calibration; graph filter; false positive; false negative;

机译：拓扑;网络拓扑结构;校准;解码;数据结构;编码;计算机网络;拓扑校准图形过滤器假阳性;假阴性;

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机译：拓扑优化中的非线性滤波器：解决方案的存在和有效实现的最小合规性问题

Graph Filter: Enabling Efficient Topology Calibration

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