Several structured peer-to-peer networks have been created to solve the scalability problem of previous peer-to-peer systems such as Gnutella and Napster. These peer-to-peer networks which support distributed hash table functionality construct a sort of structured overlay network, which can cause a topology mismatch between the overlay and the underlying physical network. To solve this mismatch problem, we propose a topology-aware hierarchical overlay framework for DHTs. The hierarchical approach for the overlay is based on the concept that the underlying global Internet is also a hierarchical architecture, that is, a network of networks. This hierarchical approach for the overlay puts forth two benefits: finding data in a physically near place with a high probability, and smaller lookup time. Our hierarchical overlay framework is different from other hierarchical architecture systems in a sense that it provides a specific self-organizing grouping algorithm. Our additional optimization schemes complete the basic algorithm which constructs a hierarchical structure without any central control.
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Kwangwook SHIN, Seunghak LEE, Geunhwi LIM, Hyunsoo YOON, "A Proximity-Based Self-Organizing Hierarchical Overlay Framework for Distributed Hash Tables" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 7, pp. 1651-1662, July 2007, doi: 10.1093/ietcom/e90-b.7.1651.
Abstract: Several structured peer-to-peer networks have been created to solve the scalability problem of previous peer-to-peer systems such as Gnutella and Napster. These peer-to-peer networks which support distributed hash table functionality construct a sort of structured overlay network, which can cause a topology mismatch between the overlay and the underlying physical network. To solve this mismatch problem, we propose a topology-aware hierarchical overlay framework for DHTs. The hierarchical approach for the overlay is based on the concept that the underlying global Internet is also a hierarchical architecture, that is, a network of networks. This hierarchical approach for the overlay puts forth two benefits: finding data in a physically near place with a high probability, and smaller lookup time. Our hierarchical overlay framework is different from other hierarchical architecture systems in a sense that it provides a specific self-organizing grouping algorithm. Our additional optimization schemes complete the basic algorithm which constructs a hierarchical structure without any central control.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.7.1651/_p
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@ARTICLE{e90-b_7_1651,
author={Kwangwook SHIN, Seunghak LEE, Geunhwi LIM, Hyunsoo YOON, },
journal={IEICE TRANSACTIONS on Communications},
title={A Proximity-Based Self-Organizing Hierarchical Overlay Framework for Distributed Hash Tables},
year={2007},
volume={E90-B},
number={7},
pages={1651-1662},
abstract={Several structured peer-to-peer networks have been created to solve the scalability problem of previous peer-to-peer systems such as Gnutella and Napster. These peer-to-peer networks which support distributed hash table functionality construct a sort of structured overlay network, which can cause a topology mismatch between the overlay and the underlying physical network. To solve this mismatch problem, we propose a topology-aware hierarchical overlay framework for DHTs. The hierarchical approach for the overlay is based on the concept that the underlying global Internet is also a hierarchical architecture, that is, a network of networks. This hierarchical approach for the overlay puts forth two benefits: finding data in a physically near place with a high probability, and smaller lookup time. Our hierarchical overlay framework is different from other hierarchical architecture systems in a sense that it provides a specific self-organizing grouping algorithm. Our additional optimization schemes complete the basic algorithm which constructs a hierarchical structure without any central control.},
keywords={},
doi={10.1093/ietcom/e90-b.7.1651},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - A Proximity-Based Self-Organizing Hierarchical Overlay Framework for Distributed Hash Tables
T2 - IEICE TRANSACTIONS on Communications
SP - 1651
EP - 1662
AU - Kwangwook SHIN
AU - Seunghak LEE
AU - Geunhwi LIM
AU - Hyunsoo YOON
PY - 2007
DO - 10.1093/ietcom/e90-b.7.1651
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2007
AB - Several structured peer-to-peer networks have been created to solve the scalability problem of previous peer-to-peer systems such as Gnutella and Napster. These peer-to-peer networks which support distributed hash table functionality construct a sort of structured overlay network, which can cause a topology mismatch between the overlay and the underlying physical network. To solve this mismatch problem, we propose a topology-aware hierarchical overlay framework for DHTs. The hierarchical approach for the overlay is based on the concept that the underlying global Internet is also a hierarchical architecture, that is, a network of networks. This hierarchical approach for the overlay puts forth two benefits: finding data in a physically near place with a high probability, and smaller lookup time. Our hierarchical overlay framework is different from other hierarchical architecture systems in a sense that it provides a specific self-organizing grouping algorithm. Our additional optimization schemes complete the basic algorithm which constructs a hierarchical structure without any central control.
ER -