The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami mengkaji strategi peruntukan sumber dalam suis ATM, yang menyediakan jaminan kualiti perkhidmatan (QoS) kepada sambungan individu. Untuk meminimumkan kadar kehilangan sel ke atas pelbagai ciri trafik, strategi peruntukan yang cekap adalah perlu. Dalam kertas kerja ini kami memperkenalkan strategi peruntukan sumber, dinamakan TP+WRR (Threshold Pushout + Weighted Round Robin) yang boleh menggunakan sepenuhnya ruang penimbal dan lebar jalur. Kami membandingkan prestasi TP+WRR dengan dua strategi peruntukan sumber biasa. Analisis baris gilir tepat berdasarkan model Markov dijalankan di bawah sumber trafik yang penuh untuk menilai prestasi mereka. Keputusan kami mendedahkan bahawa TP+WRR dengan ketara meningkatkan kebarangkalian kehilangan sel berbanding strategi lain yang dipertimbangkan dalam kertas ini, terutamanya apabila banyak sambungan berkongsi pautan.
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Salinan
Norio MATSUFURU, Kouji NISHIMURA, Reiji AIBARA, "Comparative Evaluation of Resource Allocation Strategies Using Weighted Round Robin Scheduler in ATM Switches" in IEICE TRANSACTIONS on Communications,
vol. E82-B, no. 1, pp. 60-69, January 1999, doi: .
Abstract: We study resource allocation strategies in ATM switches, which provide quality of service (QoS) guarantees to individual connections. In order to minimize the cell loss rate over a wide range of traffic characteristics, an efficient allocation strategy is necessary. In this paper we introduce a resource allocation strategy, named TP+WRR (Threshold Pushout + Weighted Round Robin) which can fully utilize the buffer space and the bandwidth. We compare the performance of TP+WRR with two typical resource allocation strategies. An exact queueing analysis based on a Markov model is carried out under bursty traffic sources to evaluate their performance. Our results reveal that TP+WRR considerably improves the cell loss probability over the other strategies considered in this paper, especially when many connections are sharing a link.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e82-b_1_60/_p
Salinan
@ARTICLE{e82-b_1_60,
author={Norio MATSUFURU, Kouji NISHIMURA, Reiji AIBARA, },
journal={IEICE TRANSACTIONS on Communications},
title={Comparative Evaluation of Resource Allocation Strategies Using Weighted Round Robin Scheduler in ATM Switches},
year={1999},
volume={E82-B},
number={1},
pages={60-69},
abstract={We study resource allocation strategies in ATM switches, which provide quality of service (QoS) guarantees to individual connections. In order to minimize the cell loss rate over a wide range of traffic characteristics, an efficient allocation strategy is necessary. In this paper we introduce a resource allocation strategy, named TP+WRR (Threshold Pushout + Weighted Round Robin) which can fully utilize the buffer space and the bandwidth. We compare the performance of TP+WRR with two typical resource allocation strategies. An exact queueing analysis based on a Markov model is carried out under bursty traffic sources to evaluate their performance. Our results reveal that TP+WRR considerably improves the cell loss probability over the other strategies considered in this paper, especially when many connections are sharing a link.},
keywords={},
doi={},
ISSN={},
month={January},}
Salinan
TY - JOUR
TI - Comparative Evaluation of Resource Allocation Strategies Using Weighted Round Robin Scheduler in ATM Switches
T2 - IEICE TRANSACTIONS on Communications
SP - 60
EP - 69
AU - Norio MATSUFURU
AU - Kouji NISHIMURA
AU - Reiji AIBARA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E82-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 1999
AB - We study resource allocation strategies in ATM switches, which provide quality of service (QoS) guarantees to individual connections. In order to minimize the cell loss rate over a wide range of traffic characteristics, an efficient allocation strategy is necessary. In this paper we introduce a resource allocation strategy, named TP+WRR (Threshold Pushout + Weighted Round Robin) which can fully utilize the buffer space and the bandwidth. We compare the performance of TP+WRR with two typical resource allocation strategies. An exact queueing analysis based on a Markov model is carried out under bursty traffic sources to evaluate their performance. Our results reveal that TP+WRR considerably improves the cell loss probability over the other strategies considered in this paper, especially when many connections are sharing a link.
ER -