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
통계적 CAC(Static CAC) 기법이라 불리는 통계 정보에 기반한 CAC(Call Acceptance Control) 기법이 제안되었다. 기존 방식에서는 네트워크의 잔여 대역폭을 실시간으로 업데이트하기 위해 링크별 세션 정보를 관리해야 했다. 이 방식은 네트워크 규모 측면에서 확장성 문제가 있습니다. 통계적 CAC는 거부 비율이라고 하는 미리 계산된 비율에 따라 세션 설정 요청을 거부합니다. 거부율은 각 링크별로 요구되는 대역폭에 대한 통계정보를 이용하여 혼잡확률이 네트워크 사업자가 지정한 상한값 이하가 되도록 계산한다. 통계적 CAC는 수용된 세션 상태 정보를 유지할 필요가 없기 때문에 기존 방식보다 네트워크 크기 측면에서 확장성이 더 높습니다. 수치 결과는 통계적 CAC가 정확한 세션 상태 정보 없이도 기존 방식에 비해 네트워크 활용도를 약간만 저하시키는 것으로 나타났습니다.
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부
Takayuki FUJIWARA, Eiji OKI, Kohei SHIOMOTO, "Call Admission Control Scheme Based on Statistical Information" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 4, pp. 1361-1364, April 2009, doi: 10.1587/transcom.E92.B.1361.
Abstract: A call admission control (CAC) scheme based on statistical information is proposed, called the statistical CAC scheme. A conventional scheme needs to manage session information for each link to update the residual bandwidth of a network in real time. This scheme has a scalability problem in terms of network size. The statistical CAC rejects session setup requests in accordance to a pre-computed ratio, called the rejection ratio. The rejection ratio is computed by using statistical information about the bandwidth requested for each link so that the congestion probability is less than an upper bound specified by a network operator. The statistical CAC is more scalable in terms of network size than the conventional scheme because it does not need to keep accommodated session state information. Numerical results show that the statistical CAC, even without exact session state information, only slightly degrades network utilization compared with the conventional scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.1361/_p
부
@ARTICLE{e92-b_4_1361,
author={Takayuki FUJIWARA, Eiji OKI, Kohei SHIOMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={Call Admission Control Scheme Based on Statistical Information},
year={2009},
volume={E92-B},
number={4},
pages={1361-1364},
abstract={A call admission control (CAC) scheme based on statistical information is proposed, called the statistical CAC scheme. A conventional scheme needs to manage session information for each link to update the residual bandwidth of a network in real time. This scheme has a scalability problem in terms of network size. The statistical CAC rejects session setup requests in accordance to a pre-computed ratio, called the rejection ratio. The rejection ratio is computed by using statistical information about the bandwidth requested for each link so that the congestion probability is less than an upper bound specified by a network operator. The statistical CAC is more scalable in terms of network size than the conventional scheme because it does not need to keep accommodated session state information. Numerical results show that the statistical CAC, even without exact session state information, only slightly degrades network utilization compared with the conventional scheme.},
keywords={},
doi={10.1587/transcom.E92.B.1361},
ISSN={1745-1345},
month={April},}
부
TY - JOUR
TI - Call Admission Control Scheme Based on Statistical Information
T2 - IEICE TRANSACTIONS on Communications
SP - 1361
EP - 1364
AU - Takayuki FUJIWARA
AU - Eiji OKI
AU - Kohei SHIOMOTO
PY - 2009
DO - 10.1587/transcom.E92.B.1361
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2009
AB - A call admission control (CAC) scheme based on statistical information is proposed, called the statistical CAC scheme. A conventional scheme needs to manage session information for each link to update the residual bandwidth of a network in real time. This scheme has a scalability problem in terms of network size. The statistical CAC rejects session setup requests in accordance to a pre-computed ratio, called the rejection ratio. The rejection ratio is computed by using statistical information about the bandwidth requested for each link so that the congestion probability is less than an upper bound specified by a network operator. The statistical CAC is more scalable in terms of network size than the conventional scheme because it does not need to keep accommodated session state information. Numerical results show that the statistical CAC, even without exact session state information, only slightly degrades network utilization compared with the conventional scheme.
ER -