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
MPLS 기반 경로 기술은 안정적인 IP 네트워크를 구현하는 수단으로서의 가능성을 보여줍니다. 다중 도메인 MPLS 망을 통해 제공되는 VoIP, 화상회의 등 실시간 서비스는 도메인 간 경로의 End-to-End QoS를 보장할 수 있어야 합니다. 따라서, 도메인간 경로가 통과하는 각 도메인의 도메인간 경로에 적절한 QoS 클래스를 할당하는 것이 중요하다. 각 도메인은 고유한 QoS 클래스 할당 정책을 가지고 있으므로 다른 도메인의 QoS 클래스 할당 정책을 추정하여 최적의 QoS 클래스를 적응적으로 할당하는 것이 필요합니다. 본 논문에서는 도착하는 도메인 간 경로 요청에 도메인 간 경로가 통과하는 다운스트림 도메인의 수와 대상 노드를 향한 나머지 QoS 값이 포함되어 있다고 가정하여 두 가지 적응형 QoS 클래스 할당 방식을 제안합니다. 먼저, 다운스트림 도메인에서 도메인 간 경로의 손실률 측정을 기반으로 하는 측정 기반 기법을 제안합니다. 이 방식은 측정된 경로 요청 손실률을 사용하여 다운스트림 도메인의 QoS 클래스 할당 정책을 추정합니다. 둘째, 다운스트림 도메인의 경로 손실률 외에 경로 요청 도착률 측정을 기반으로 하는 상태 종속형 방식도 제안됩니다. 이 방식을 사용하면 도메인 상태에 따라 적절한 QoS 클래스를 할당할 수 있습니다. 본 논문은 상태의존 유형 체계 모델링에 마르코프 결정 이론을 적용하는 방법을 제안한다. 제안된 기법의 성능은 컴퓨터 시뮬레이션을 사용하여 덜 복잡한 다른 비적응 기법의 성능과 비교 및 평가되었습니다. 비교 결과, 제안 방식은 다른 도메인에서 QoS 클래스 할당 정책이 변경되고 해당 도메인에서 경로 요청의 도착 패턴이 달라지는 경우에도 해당 도메인에 수용되는 도메인 간 경로 수를 적응적으로 늘릴 수 있음을 보여줍니다. .
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Nagao OGINO, Hajime NAKAMURA, "Adaptive QoS Class Allocation Schemes in Multi-Domain Path-Based Networks" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 3, pp. 898-908, March 2009, doi: 10.1587/transcom.E92.B.898.
Abstract: MPLS-based path technology shows promise as a means of realizing reliable IP networks. Real-time services such as VoIP and video-conference supplied through a multi-domain MPLS network must be able to guarantee end-to-end QoS of the inter-domain paths. Thus, it is important to allocate an appropriate QoS class to the inter-domain paths in each domain traversed by the inter-domain paths. Because each domain has its own policy for QoS class allocation, it is necessary to adaptively allocate the optimum QoS class based on estimation of the QoS class allocation policies in other domains. This paper proposes two kinds of adaptive QoS class allocation schemes, assuming that the arriving inter-domain path requests include the number of downstream domains traversed by the inter-domain paths and the remaining QoS value toward the destination nodes. First, a measurement-based scheme, based on measurement of the loss rates of inter-domain paths in the downstream domains, is proposed. This scheme estimates the QoS class allocation policies in the downstream domains, using the measured loss rates of path requests. Second, a state-dependent type scheme, based on measurement of the arrival rates of path requests in addition to the loss rates of paths in the downstream domains, is also proposed. This scheme allows an appropriate QoS class to be allocated according to the domain state. This paper proposes an application of the Markov decision theory to the modeling of state-dependent type scheme. The performances of the proposed schemes are evaluated and compared with those of the other less complicated non-adaptive schemes using a computer simulation. The results of the comparison reveal that the proposed schemes can adaptively increase the number of inter-domain paths accommodated in the considered domain, even when the QoS class allocation policies change in the other domains and the arrival pattern of path requests varies in the considered domain.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.898/_p
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@ARTICLE{e92-b_3_898,
author={Nagao OGINO, Hajime NAKAMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive QoS Class Allocation Schemes in Multi-Domain Path-Based Networks},
year={2009},
volume={E92-B},
number={3},
pages={898-908},
abstract={MPLS-based path technology shows promise as a means of realizing reliable IP networks. Real-time services such as VoIP and video-conference supplied through a multi-domain MPLS network must be able to guarantee end-to-end QoS of the inter-domain paths. Thus, it is important to allocate an appropriate QoS class to the inter-domain paths in each domain traversed by the inter-domain paths. Because each domain has its own policy for QoS class allocation, it is necessary to adaptively allocate the optimum QoS class based on estimation of the QoS class allocation policies in other domains. This paper proposes two kinds of adaptive QoS class allocation schemes, assuming that the arriving inter-domain path requests include the number of downstream domains traversed by the inter-domain paths and the remaining QoS value toward the destination nodes. First, a measurement-based scheme, based on measurement of the loss rates of inter-domain paths in the downstream domains, is proposed. This scheme estimates the QoS class allocation policies in the downstream domains, using the measured loss rates of path requests. Second, a state-dependent type scheme, based on measurement of the arrival rates of path requests in addition to the loss rates of paths in the downstream domains, is also proposed. This scheme allows an appropriate QoS class to be allocated according to the domain state. This paper proposes an application of the Markov decision theory to the modeling of state-dependent type scheme. The performances of the proposed schemes are evaluated and compared with those of the other less complicated non-adaptive schemes using a computer simulation. The results of the comparison reveal that the proposed schemes can adaptively increase the number of inter-domain paths accommodated in the considered domain, even when the QoS class allocation policies change in the other domains and the arrival pattern of path requests varies in the considered domain.},
keywords={},
doi={10.1587/transcom.E92.B.898},
ISSN={1745-1345},
month={March},}
부
TY - JOUR
TI - Adaptive QoS Class Allocation Schemes in Multi-Domain Path-Based Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 898
EP - 908
AU - Nagao OGINO
AU - Hajime NAKAMURA
PY - 2009
DO - 10.1587/transcom.E92.B.898
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2009
AB - MPLS-based path technology shows promise as a means of realizing reliable IP networks. Real-time services such as VoIP and video-conference supplied through a multi-domain MPLS network must be able to guarantee end-to-end QoS of the inter-domain paths. Thus, it is important to allocate an appropriate QoS class to the inter-domain paths in each domain traversed by the inter-domain paths. Because each domain has its own policy for QoS class allocation, it is necessary to adaptively allocate the optimum QoS class based on estimation of the QoS class allocation policies in other domains. This paper proposes two kinds of adaptive QoS class allocation schemes, assuming that the arriving inter-domain path requests include the number of downstream domains traversed by the inter-domain paths and the remaining QoS value toward the destination nodes. First, a measurement-based scheme, based on measurement of the loss rates of inter-domain paths in the downstream domains, is proposed. This scheme estimates the QoS class allocation policies in the downstream domains, using the measured loss rates of path requests. Second, a state-dependent type scheme, based on measurement of the arrival rates of path requests in addition to the loss rates of paths in the downstream domains, is also proposed. This scheme allows an appropriate QoS class to be allocated according to the domain state. This paper proposes an application of the Markov decision theory to the modeling of state-dependent type scheme. The performances of the proposed schemes are evaluated and compared with those of the other less complicated non-adaptive schemes using a computer simulation. The results of the comparison reveal that the proposed schemes can adaptively increase the number of inter-domain paths accommodated in the considered domain, even when the QoS class allocation policies change in the other domains and the arrival pattern of path requests varies in the considered domain.
ER -