2013 IEEE Symposium on Computers and Communications (ISCC) 2013
DOI: 10.1109/iscc.2013.6754997
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A method for designing proximity-aware routing algorithms for structured overlays

Abstract: Abstract-In many structured overlays, nodes strictly maintain their routing tables using node identifiers. However, building routing tables while taking account of the physical network is difficult. We propose proximity-aware flexible routing tables (PFRT) in this paper as a method to systematically design proximityaware routing algorithms for structured overlays. PFRT was developed by extending the flexible routing tables (FRT) method such that network proximity is considered. Routing tables in FRTand PFRT-ba… Show more

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Cited by 12 publications
(7 citation statements)
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“…Proximity neighbor selection [11], [12] is a proven technique to improve propagation performance in peer-to-peer networks. This section describes our proposed algorithm to to perform proximity neighbor selection in blockchain networks.…”
Section: Proposed Algorithmmentioning
confidence: 99%
“…Proximity neighbor selection [11], [12] is a proven technique to improve propagation performance in peer-to-peer networks. This section describes our proposed algorithm to to perform proximity neighbor selection in blockchain networks.…”
Section: Proposed Algorithmmentioning
confidence: 99%
“…In a homogeneous environment such as a local area network and a cloud network, a routing path length dominates the latency. In contrast, note that locality awareness [12], [13], [14], which considers the proximity of the underlying network, is also important in a non-homogeneous environment on the Internet. Regarding fault tolerance, it is effective to use the stabilization methods [15].…”
Section: Introductionmentioning
confidence: 99%
“…Using sticky entry sieves, we redesign existing algorithms, group FRT-Chord (GFRT-Chord) [8] and proximity-aware FRT-Chord (PFRT-Chord) [10], and we design their merged algorithms, PGFRT-Chord and GPFRT-Chord, which varies from PGFRT-Chord only with reespect to the sieve order. We also implement and examine the merged algorithm.…”
Section: Introductionmentioning
confidence: 99%