The Experts below are selected from a list of 1620 Experts worldwide ranked by ideXlab platform
Lei Wang - One of the best experts on this subject based on the ideXlab platform.
-
Calculation of Loss Probability in a Finite Size Partitioned Buffer for Quantitative Assured Service
2015Co-Authors: Yu Cheng, Weihua Zhuang, Lei Wang, Senior Member, Student MemberAbstract:Abstract—This paper proposes an approximate yet accurate ap-proach to calculate the loss probabilities in a finite size partitioned buffer system for the achievement of a quantitative assured ser-vice in differentiated services networks. The input is modeled as a fractional Brownian motion (Fbm) Process including J classes of traffic with different packet loss requirements. A first-in first-out buffer partitioned with J−1 thresholds is used to provide J loss priorities. Heuristic expressions of the loss probabilities for all the J classes are derived, and validated by computer simulations. The proposed loss calculation technique is then extended to a gen-eral input Process by using the recently proposed traffic substitu-tion technique, where both long-range dependent and short-range dependent input sources are equivalent to a properly parameter-ized Fbm. We also apply the loss calculation to admission control, where the partition thresholds are optimally configured for quality of service guarantee and maximal resource utilization. Computer simulation results demonstrate that resource allocation based on the accurate finite buffer loss analysis results in much more effi-cient resource utilization than that based on the classic large-buffer overflow approximation. Index Terms—Fractional Brownian motion (Fbm), long-range dependence (LRD), loss probability, quantitative assured service, traffic substitution. I
-
calculation of loss probability in a finite size partitioned buffer for quantitative assured service
IEEE Transactions on Communications, 2007Co-Authors: Yu Cheng, Weihua Zhuang, Lei WangAbstract:This paper proposes an approximate yet accurate approach to calculate the loss probabilities in a finite size partitioned buffer system, for the achievement of a quantitative assured service in differentiated services networks. The input is modeled as a fractional Brownian motion (Fbm) Process including $J$ classes of traffic with different packet loss requirements. A first-in first-out (FIFO) buffer partitioned with $J-1$ thresholds is used to provide $J$ loss priorities. Heuristic expressions of the loss probabilities for all the $J$ classes are derived and validated by computer simulations. The proposed loss calculation technique is then extended to a general input Process by using the recently proposed traffic substitution technique, where both long-range dependent (LRD) and short-range dependent (SRD) input sources are equivalent to a properly parameterized Fbm. We also apply the loss calculation to admission control, where the partition thresholds are optimally configured for quality of service guarantee and maximal resource utilization. Computer simulation results demonstrate that resource allocation based on the accurate finite buffer loss analysis results in much more efficient resource utilization than that based on the classic large-buffer overflow approximation.
Yu Cheng - One of the best experts on this subject based on the ideXlab platform.
-
Fbm Model Based Network-Wide Performance Analysis with Service Differentiation
2020Co-Authors: Yu Cheng, Weihua Zhuang, Xinhua LingAbstract:ABSTRACT In this paper, we demonstrate that traffic modeling with the fractional Brownian motion (Fbm) Process is an efficient tool for end-to-end performance analysis over a network provisioning differentiated services (DiffServ). The Fbm Process is a parsimonious model involving only three parameters to describe the Internet traffic showing the property of selfsimilarity or long-range dependence (LRD). As a foundation for network-wide performance analysis, the Fbm modeling can significantly facilitate the single-hop performance analysis. While accurate Fbm based queueing analysis for an infinite/finite first-in-first-out (FIFO) buffer is available in the existing literature, we develop a generic Fbm based analysis for multiclass single-hop analysis where both inter-buffer priority and intra-buffer priority are used for service differentiation. Moreover, we present both theoretical and simulation studies to reveal the preservation of the self-similarity, when the traffic Process is multiplexed or randomly split, or goes through a queueing system. It is such self-similar preservation that enables the concatenation of Fbm based single-hop analysis into a network-wide performance analysis
-
Calculation of Loss Probability in a Finite Size Partitioned Buffer for Quantitative Assured Service
2015Co-Authors: Yu Cheng, Weihua Zhuang, Lei Wang, Senior Member, Student MemberAbstract:Abstract—This paper proposes an approximate yet accurate ap-proach to calculate the loss probabilities in a finite size partitioned buffer system for the achievement of a quantitative assured ser-vice in differentiated services networks. The input is modeled as a fractional Brownian motion (Fbm) Process including J classes of traffic with different packet loss requirements. A first-in first-out buffer partitioned with J−1 thresholds is used to provide J loss priorities. Heuristic expressions of the loss probabilities for all the J classes are derived, and validated by computer simulations. The proposed loss calculation technique is then extended to a gen-eral input Process by using the recently proposed traffic substitu-tion technique, where both long-range dependent and short-range dependent input sources are equivalent to a properly parameter-ized Fbm. We also apply the loss calculation to admission control, where the partition thresholds are optimally configured for quality of service guarantee and maximal resource utilization. Computer simulation results demonstrate that resource allocation based on the accurate finite buffer loss analysis results in much more effi-cient resource utilization than that based on the classic large-buffer overflow approximation. Index Terms—Fractional Brownian motion (Fbm), long-range dependence (LRD), loss probability, quantitative assured service, traffic substitution. I
-
calculation of loss probability in a finite size partitioned buffer for quantitative assured service
IEEE Transactions on Communications, 2007Co-Authors: Yu Cheng, Weihua Zhuang, Lei WangAbstract:This paper proposes an approximate yet accurate approach to calculate the loss probabilities in a finite size partitioned buffer system, for the achievement of a quantitative assured service in differentiated services networks. The input is modeled as a fractional Brownian motion (Fbm) Process including $J$ classes of traffic with different packet loss requirements. A first-in first-out (FIFO) buffer partitioned with $J-1$ thresholds is used to provide $J$ loss priorities. Heuristic expressions of the loss probabilities for all the $J$ classes are derived and validated by computer simulations. The proposed loss calculation technique is then extended to a general input Process by using the recently proposed traffic substitution technique, where both long-range dependent (LRD) and short-range dependent (SRD) input sources are equivalent to a properly parameterized Fbm. We also apply the loss calculation to admission control, where the partition thresholds are optimally configured for quality of service guarantee and maximal resource utilization. Computer simulation results demonstrate that resource allocation based on the accurate finite buffer loss analysis results in much more efficient resource utilization than that based on the classic large-buffer overflow approximation.
Weihua Zhuang - One of the best experts on this subject based on the ideXlab platform.
-
Fbm Model Based Network-Wide Performance Analysis with Service Differentiation
2020Co-Authors: Yu Cheng, Weihua Zhuang, Xinhua LingAbstract:ABSTRACT In this paper, we demonstrate that traffic modeling with the fractional Brownian motion (Fbm) Process is an efficient tool for end-to-end performance analysis over a network provisioning differentiated services (DiffServ). The Fbm Process is a parsimonious model involving only three parameters to describe the Internet traffic showing the property of selfsimilarity or long-range dependence (LRD). As a foundation for network-wide performance analysis, the Fbm modeling can significantly facilitate the single-hop performance analysis. While accurate Fbm based queueing analysis for an infinite/finite first-in-first-out (FIFO) buffer is available in the existing literature, we develop a generic Fbm based analysis for multiclass single-hop analysis where both inter-buffer priority and intra-buffer priority are used for service differentiation. Moreover, we present both theoretical and simulation studies to reveal the preservation of the self-similarity, when the traffic Process is multiplexed or randomly split, or goes through a queueing system. It is such self-similar preservation that enables the concatenation of Fbm based single-hop analysis into a network-wide performance analysis
-
Calculation of Loss Probability in a Finite Size Partitioned Buffer for Quantitative Assured Service
2015Co-Authors: Yu Cheng, Weihua Zhuang, Lei Wang, Senior Member, Student MemberAbstract:Abstract—This paper proposes an approximate yet accurate ap-proach to calculate the loss probabilities in a finite size partitioned buffer system for the achievement of a quantitative assured ser-vice in differentiated services networks. The input is modeled as a fractional Brownian motion (Fbm) Process including J classes of traffic with different packet loss requirements. A first-in first-out buffer partitioned with J−1 thresholds is used to provide J loss priorities. Heuristic expressions of the loss probabilities for all the J classes are derived, and validated by computer simulations. The proposed loss calculation technique is then extended to a gen-eral input Process by using the recently proposed traffic substitu-tion technique, where both long-range dependent and short-range dependent input sources are equivalent to a properly parameter-ized Fbm. We also apply the loss calculation to admission control, where the partition thresholds are optimally configured for quality of service guarantee and maximal resource utilization. Computer simulation results demonstrate that resource allocation based on the accurate finite buffer loss analysis results in much more effi-cient resource utilization than that based on the classic large-buffer overflow approximation. Index Terms—Fractional Brownian motion (Fbm), long-range dependence (LRD), loss probability, quantitative assured service, traffic substitution. I
-
calculation of loss probability in a finite size partitioned buffer for quantitative assured service
IEEE Transactions on Communications, 2007Co-Authors: Yu Cheng, Weihua Zhuang, Lei WangAbstract:This paper proposes an approximate yet accurate approach to calculate the loss probabilities in a finite size partitioned buffer system, for the achievement of a quantitative assured service in differentiated services networks. The input is modeled as a fractional Brownian motion (Fbm) Process including $J$ classes of traffic with different packet loss requirements. A first-in first-out (FIFO) buffer partitioned with $J-1$ thresholds is used to provide $J$ loss priorities. Heuristic expressions of the loss probabilities for all the $J$ classes are derived and validated by computer simulations. The proposed loss calculation technique is then extended to a general input Process by using the recently proposed traffic substitution technique, where both long-range dependent (LRD) and short-range dependent (SRD) input sources are equivalent to a properly parameterized Fbm. We also apply the loss calculation to admission control, where the partition thresholds are optimally configured for quality of service guarantee and maximal resource utilization. Computer simulation results demonstrate that resource allocation based on the accurate finite buffer loss analysis results in much more efficient resource utilization than that based on the classic large-buffer overflow approximation.
Lindstrøm Ulf - One of the best experts on this subject based on the ideXlab platform.
-
Report from a krill focused survey with RV Kronprins Haakon and land-based predator work in Antarctica during 2018/2019
Havforskningsinstituttet, 2019Co-Authors: Krafft, Bjørn Arne, Biuw Martin, Bakkeplass, Kjell Gunnar, Berge Terje, Erices, Julio Alberto, Jones, Elizabeth Marie, Knutsen Tor, Kubilius Rokas, Kvalsund Merete, Lindstrøm UlfAbstract:The primary objective for this krill research activity was twofold 1) to conduct a survey that provides updated estimates of the biomass and distribution of krill which are used in models to estimate sustainable yield in CCAMLR Area 48 and 2) to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. The survey follows a similar design as a survey initiated by CCAMLR in year 2000 for comparative purposes, but in addition focuses on high krill-density areas, contains state-of-the art methods and employs modern technology for the research topics currently in focus. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs as opposed to purely conservation-based measures. A future developed Fbm system, requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The survey and coupled Fbm Process studies took place during the Austral summer 2018-2019. The work was coordinated by Norway and involved collaborative international efforts as well as vessels from Norway, Association of Responsible Krill fishing companies (ARK) and the Norwegian fishing company Aker BioMarine AS, China, Korea, Ukraine and United Kingdom. This report presents preliminary results from the survey performed with the Norwegian RV Kronprins Haakon during 08th January – 24th February 2019 and the land-based predator research carried out between 21st November 2018 and 20th February 2019
-
Report from a krill focused survey with RV Kronprins Haakon and land-based predator work in Antarctica during 2018/2019
Havforskningsinstituttet, 2019Co-Authors: Krafft, Bjørn Arne, Biuw Martin, Bakkeplass, Kjell Gunnar, Berge Terje, Erices, Julio Alberto, Jones, Elizabeth Marie, Knutsen Tor, Kubilius Rokas, Kvalsund Merete, Lindstrøm UlfAbstract:Source at http://hdl.handle.net/11250/2600142The primary objective for this krill research activity was twofold 1) to conduct a survey that provides updated estimates of the biomass and distribution of krill which are used in models to estimate sustainable yield in CCAMLR Area 48 and 2) to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. The survey follows a similar design as a survey initiated by CCAMLR in year 2000 for comparative purposes, but in addition focuses on high krill-density areas, contains state-of-the art methods and employs modern technology for the research topics currently in focus. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs as opposed to purely conservation-based measures. A future developed Fbm system, requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The survey and coupled Fbm Process studies took place during the Austral summer 2018-2019. The work was coordinated by Norway and involved collaborative international efforts as well as vessels from Norway, Association of Responsible Krill fishing companies (ARK) and the Norwegian fishing company Aker BioMarine AS, China, Korea, Ukraine and United Kingdom. This report presents preliminary results from the survey performed with the Norwegian RV Kronprins Haakon during 08th January – 24th February 2019 and the land-based predator research carried out between 21st November 2018 and 20th February 2019
-
Report from a krill focused survey with RV Kronprins Haakon and land-based predator work in Antarctica during 2018/2019
Havforskningsinstituttet, 2019Co-Authors: Krafft, Bjørn Arne, Biuw Martin, Bakkeplass, Kjell Gunnar, Berge Terje, Erices, Julio Alberto, Jones, Elizabeth Marie, Knutsen Tor, Kubilius Rokas, Kvalsund Merete, Lindstrøm UlfAbstract:The primary objective for this krill research activity was twofold 1) to conduct a survey that provides updated estimates of the biomass and distribution of krill which are used in models to estimate sustainable yield in CCAMLR Area 48 and 2) to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. The survey follows a similar design as a survey initiated by CCAMLR in year 2000 for comparative purposes, but in addition focuses on high krill-density areas, contains state-of-the art methods and employs modern technology for the research topics currently in focus. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs as opposed to purely conservation-based measures. A future developed Fbm system, requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The survey and coupled Fbm Process studies took place during the Austral summer 2018-2019. The work was coordinated by Norway and involved collaborative international efforts as well as vessels from Norway, Association of Responsible Krill fishing companies (ARK) and the Norwegian fishing company Aker BioMarine AS, China, Korea, Ukraine and United Kingdom. This report presents preliminary results from the survey performed with the Norwegian RV Kronprins Haakon during 08th January – 24th February 2019 and the land-based predator research carried out between 21st November 2018 and 20th February 2019.publishedVersio
Krafft, Bjørn Arne - One of the best experts on this subject based on the ideXlab platform.
-
Report from a krill focused survey with RV Kronprins Haakon and land-based predator work in Antarctica during 2018/2019
Havforskningsinstituttet, 2019Co-Authors: Krafft, Bjørn Arne, Biuw Martin, Bakkeplass, Kjell Gunnar, Berge Terje, Erices, Julio Alberto, Jones, Elizabeth Marie, Knutsen Tor, Kubilius Rokas, Kvalsund Merete, Lindstrøm UlfAbstract:Source at http://hdl.handle.net/11250/2600142The primary objective for this krill research activity was twofold 1) to conduct a survey that provides updated estimates of the biomass and distribution of krill which are used in models to estimate sustainable yield in CCAMLR Area 48 and 2) to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. The survey follows a similar design as a survey initiated by CCAMLR in year 2000 for comparative purposes, but in addition focuses on high krill-density areas, contains state-of-the art methods and employs modern technology for the research topics currently in focus. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs as opposed to purely conservation-based measures. A future developed Fbm system, requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The survey and coupled Fbm Process studies took place during the Austral summer 2018-2019. The work was coordinated by Norway and involved collaborative international efforts as well as vessels from Norway, Association of Responsible Krill fishing companies (ARK) and the Norwegian fishing company Aker BioMarine AS, China, Korea, Ukraine and United Kingdom. This report presents preliminary results from the survey performed with the Norwegian RV Kronprins Haakon during 08th January – 24th February 2019 and the land-based predator research carried out between 21st November 2018 and 20th February 2019
-
Report from a krill focused survey with RV Kronprins Haakon and land-based predator work in Antarctica during 2018/2019
Havforskningsinstituttet, 2019Co-Authors: Krafft, Bjørn Arne, Biuw Martin, Bakkeplass, Kjell Gunnar, Berge Terje, Erices, Julio Alberto, Jones, Elizabeth Marie, Knutsen Tor, Kubilius Rokas, Kvalsund Merete, Lindstrøm UlfAbstract:The primary objective for this krill research activity was twofold 1) to conduct a survey that provides updated estimates of the biomass and distribution of krill which are used in models to estimate sustainable yield in CCAMLR Area 48 and 2) to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. The survey follows a similar design as a survey initiated by CCAMLR in year 2000 for comparative purposes, but in addition focuses on high krill-density areas, contains state-of-the art methods and employs modern technology for the research topics currently in focus. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs as opposed to purely conservation-based measures. A future developed Fbm system, requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The survey and coupled Fbm Process studies took place during the Austral summer 2018-2019. The work was coordinated by Norway and involved collaborative international efforts as well as vessels from Norway, Association of Responsible Krill fishing companies (ARK) and the Norwegian fishing company Aker BioMarine AS, China, Korea, Ukraine and United Kingdom. This report presents preliminary results from the survey performed with the Norwegian RV Kronprins Haakon during 08th January – 24th February 2019 and the land-based predator research carried out between 21st November 2018 and 20th February 2019
-
Report from a krill focused survey with RV Kronprins Haakon and land-based predator work in Antarctica during 2018/2019
Havforskningsinstituttet, 2019Co-Authors: Krafft, Bjørn Arne, Biuw Martin, Bakkeplass, Kjell Gunnar, Berge Terje, Erices, Julio Alberto, Jones, Elizabeth Marie, Knutsen Tor, Kubilius Rokas, Kvalsund Merete, Lindstrøm UlfAbstract:The primary objective for this krill research activity was twofold 1) to conduct a survey that provides updated estimates of the biomass and distribution of krill which are used in models to estimate sustainable yield in CCAMLR Area 48 and 2) to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. The survey follows a similar design as a survey initiated by CCAMLR in year 2000 for comparative purposes, but in addition focuses on high krill-density areas, contains state-of-the art methods and employs modern technology for the research topics currently in focus. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs as opposed to purely conservation-based measures. A future developed Fbm system, requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The survey and coupled Fbm Process studies took place during the Austral summer 2018-2019. The work was coordinated by Norway and involved collaborative international efforts as well as vessels from Norway, Association of Responsible Krill fishing companies (ARK) and the Norwegian fishing company Aker BioMarine AS, China, Korea, Ukraine and United Kingdom. This report presents preliminary results from the survey performed with the Norwegian RV Kronprins Haakon during 08th January – 24th February 2019 and the land-based predator research carried out between 21st November 2018 and 20th February 2019.publishedVersio
-
Development of methods relevant to feedback management (Fbm) for the krill fishery
Commission for the Conservation of Antarctic Marine Living Resources, 2018Co-Authors: Krafft, Bjørn Arne, Lowther Andrew, Macaulay Gavin, Chierici Melissa, Biuw Martin, Renner Angelika, Klevjer Tor, Øyerhamn Rune, Cardenas Cecar, Makhado ArataAbstract:The primary objective for this project is to develop knowledge on the marine environment essential for the implementation of a Feed-Back Management (Fbm) system. In terms of Fbm, Marine Protected Area (MPA) development in CCAMLR Planning Domain 1 encompasses the major krill fishing grounds. Thus, data supporting Fbm as an integral part of the broader management strategies of the krill fisheries within Domain 1 are critical if the fishery is to be managed by an empirical understanding of krill density, distribution, availability and predator needs. A future developed Fbm system, as presented in SC-CAMLR XXXVI/BG20 requires acoustic data to be collected, Processed and reported continuously during the fishing season as a measure of the available prey field. This information can be integrated with finer-scale knowledge of krill predator feeding strategies and updated through specific scientific studies at regular (multiyear) intervals. The Fbm Process studies will take place during the Austral summer 2018-2019.Development of methods relevant to feedback management (Fbm) for the krill fisherypublishedVersio
