Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network

碩士 === 國立中山大學 === 資訊工程學系研究所 === 100 ===   Kademlia[1] provides a concept of using XOR between ID to present logical distance. As Kademlia uses logical distance to search, it cannot take physical distance into consideration, which can lead the result to be the closest in logical, but the farthest in...

Full description

Bibliographic Details
Main Authors: Jung-Wei Lin, 林容瑋
Other Authors: Chun-Hung Lin
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/98827030976510378515
id ndltd-TW-100NSYS5392039
record_format oai_dc
spelling ndltd-TW-100NSYS53920392015-10-13T21:22:19Z http://ndltd.ncl.edu.tw/handle/98827030976510378515 Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network 整合實體網路與重疊網路以改善以Kademlia為基礎的同儕網路系統 Jung-Wei Lin 林容瑋 碩士 國立中山大學 資訊工程學系研究所 100   Kademlia[1] provides a concept of using XOR between ID to present logical distance. As Kademlia uses logical distance to search, it cannot take physical distance into consideration, which can lead the result to be the closest in logical, but the farthest in physical.   In this paper, ping rate is used to represent the meaning of physical distance, and construct a physical network in Kademlia. The operations like lookup and search will take logical and physical distance into consideration at the same time, called PRKad.   The simulation result shows that PRKad can actually automatically choose the more efficiency nodes, which means the close nodes in physical network, to decrease the time using of the following operations. Chun-Hung Lin 林俊宏 2012 學位論文 ; thesis 73 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中山大學 === 資訊工程學系研究所 === 100 ===   Kademlia[1] provides a concept of using XOR between ID to present logical distance. As Kademlia uses logical distance to search, it cannot take physical distance into consideration, which can lead the result to be the closest in logical, but the farthest in physical.   In this paper, ping rate is used to represent the meaning of physical distance, and construct a physical network in Kademlia. The operations like lookup and search will take logical and physical distance into consideration at the same time, called PRKad.   The simulation result shows that PRKad can actually automatically choose the more efficiency nodes, which means the close nodes in physical network, to decrease the time using of the following operations.
author2 Chun-Hung Lin
author_facet Chun-Hung Lin
Jung-Wei Lin
林容瑋
author Jung-Wei Lin
林容瑋
spellingShingle Jung-Wei Lin
林容瑋
Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network
author_sort Jung-Wei Lin
title Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network
title_short Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network
title_full Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network
title_fullStr Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network
title_full_unstemmed Performance Improvement of Kademlia-based Peer-to-Peer System by Integrating Physical Network into Overlay Network
title_sort performance improvement of kademlia-based peer-to-peer system by integrating physical network into overlay network
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/98827030976510378515
work_keys_str_mv AT jungweilin performanceimprovementofkademliabasedpeertopeersystembyintegratingphysicalnetworkintooverlaynetwork
AT línróngwěi performanceimprovementofkademliabasedpeertopeersystembyintegratingphysicalnetworkintooverlaynetwork
AT jungweilin zhěnghéshítǐwǎnglùyǔzhòngdiéwǎnglùyǐgǎishànyǐkademliawèijīchǔdetóngcháiwǎnglùxìtǒng
AT línróngwěi zhěnghéshítǐwǎnglùyǔzhòngdiéwǎnglùyǐgǎishànyǐkademliawèijīchǔdetóngcháiwǎnglùxìtǒng
_version_ 1718060504047419392