The Experts below are selected from a list of 78 Experts worldwide ranked by ideXlab platform
C. Cantarella - One of the best experts on this subject based on the ideXlab platform.
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ISCC - 17 GHz wireless LAN: performance analysis of CAC algorithms
10th IEEE Symposium on Computers and Communications (ISCC'05), 1Co-Authors: G. Razzano, Hung Tuan Tran, C. CantarellaAbstract:The paper deals with Measurement-based CAC alternatives applicable to the novel WIND-FLEX architecture, a 17 GHz wireless LAN recently developed in the framework of an European 1ST project. We first present some existing CAC algorithms based on traffic Stream Measurement. Afterwards, we develop a novel CAC algorithm which is based on queue state Measurement. The performance of the different CAC algorithms is then evaluated by extensive simulations. One of the main conclusions from simulative investigations is that our novel CAC algorithm is superior to other ones from the aspects of achievable utilization and parameter robustness. Moreover the proposed solution requires no additional signaling overhead and demands low implementation complexity.
Rocky K.c. Chang - One of the best experts on this subject based on the ideXlab platform.
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IRate: Initial Video Bitrate Selection System for HTTP Streaming
IEEE Journal on Selected Areas in Communications, 2016Co-Authors: Ricky K.p. Mok, Weichao Li, Rocky K.c. ChangAbstract:— Many HTTP Streaming video systems have been developed and widely deployed in recent years. Previous efforts were mainly spent on improving the caching of videos or proposing mid-Stream Measurement methods to update the best bitrate. However, since the video length is often short, the mid-Stream Measurement may not even converge to the best bitrate due to insufficient bandwidth estimates. On the other hand, because of diversified Web infrastructure, estimating the actual network quality at the pre-Stream stage is increasingly challenging for video service providers. In this paper, we propose IRate, which enables video service providers to proactively profile clients' Streaming performance by carrying out pre-Stream Measurement in the Content Delivery Network (CDN). With the Measurement results, the video Stream can start at the best video quality at the onset of Streaming. This is especially beneficial to short video clips, which are very popular in the Internet today. IRate is composed of a probe kit and a quality oracle. The probe kit utilizes the pre-Stream time window (e.g., user's think time and pre-roll advertisement) for measuring network quality by running a lightweight Measurement script on the Web page to induce probe packets from the IRate middlebox on the server side. With the Measurement results, the quality oracle estimates the clients' Streaming performance by determining the highest initial bitrate with a pre-trained decision tree. Our testbed results show that IRate is able to achieve 80% accuracy in determining the bitrate within 10s. By having a better estimate of the best initial bitrate, the buffering time and rebuffering events are significantly reduced in HTTP Streaming. Furthermore, the stability and the efficiency in dynamic adaptive Streaming over HTTP Streaming are also improved by about 40% and 36%, respectively. Our user quality of experience (QoE) experiment further validates that IRate can improve the QoE by more than 6% and the perceived quality of initial quality by 24% in the actual Internet environment.
G. Razzano - One of the best experts on this subject based on the ideXlab platform.
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ISCC - 17 GHz wireless LAN: performance analysis of CAC algorithms
10th IEEE Symposium on Computers and Communications (ISCC'05), 1Co-Authors: G. Razzano, Hung Tuan Tran, C. CantarellaAbstract:The paper deals with Measurement-based CAC alternatives applicable to the novel WIND-FLEX architecture, a 17 GHz wireless LAN recently developed in the framework of an European 1ST project. We first present some existing CAC algorithms based on traffic Stream Measurement. Afterwards, we develop a novel CAC algorithm which is based on queue state Measurement. The performance of the different CAC algorithms is then evaluated by extensive simulations. One of the main conclusions from simulative investigations is that our novel CAC algorithm is superior to other ones from the aspects of achievable utilization and parameter robustness. Moreover the proposed solution requires no additional signaling overhead and demands low implementation complexity.
Neil Pasco - One of the best experts on this subject based on the ideXlab platform.
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At-line Measurement of lactose in dairy-processing plants
Analytical and Bioanalytical Chemistry, 2013Co-Authors: Nick Glithero, Claire Clark, Lo Gorton, Wolfgang Schuhmann, Neil PascoAbstract:Environmental and process control applications have needs for sensors that operate continuously or repeatedly, making them applicable to batch Measurement and flowing product Stream Measurement. Additionally, for lactose monitoring in dairy-processing plants, the sensors must have sufficient flexibility to handle a wide range of substrate concentration and be resilient to withstand wide pH excursions brought about by frequent exposure to clean-in-place chemicals that happen without any warning. This paper describes the development and trialling of an at-line lactose biosensor that meets the needs of the dairy industry for loss monitoring of lactose in dairy-processing plants by the combination of a third-generation enzyme biosensor with a sequential injection analyser. Results, both from grab sample analysis and an at-line factory prototype, are shown from their operation when installed at a Fonterra dairy factory (New Zealand) during the 2011-2012 season. Previous sensor fabrication methods were converted to a single-step process, and the flow-through cell was adapted to bubble-free operation. The lactose concentration in wastewater-processing Streams was successfully monitored by taking and analysing samples every 2-3 min, semi-continuously, for 3 months by an unskilled operator. The Fonterra site flushes approximately 100-300,000 L of wastewater per hour from its lactose plant. In the 2011-2012 season, the daily mean lactose content of this wastewater varied significantly, from 0.0 to 8.0% w/v (0-233,712 μM) and equated to substantial total losses of lactose over a 6-month period. These lactose losses represent lost saleable or useable product.
Ricky K.p. Mok - One of the best experts on this subject based on the ideXlab platform.
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IRate: Initial Video Bitrate Selection System for HTTP Streaming
IEEE Journal on Selected Areas in Communications, 2016Co-Authors: Ricky K.p. Mok, Weichao Li, Rocky K.c. ChangAbstract:— Many HTTP Streaming video systems have been developed and widely deployed in recent years. Previous efforts were mainly spent on improving the caching of videos or proposing mid-Stream Measurement methods to update the best bitrate. However, since the video length is often short, the mid-Stream Measurement may not even converge to the best bitrate due to insufficient bandwidth estimates. On the other hand, because of diversified Web infrastructure, estimating the actual network quality at the pre-Stream stage is increasingly challenging for video service providers. In this paper, we propose IRate, which enables video service providers to proactively profile clients' Streaming performance by carrying out pre-Stream Measurement in the Content Delivery Network (CDN). With the Measurement results, the video Stream can start at the best video quality at the onset of Streaming. This is especially beneficial to short video clips, which are very popular in the Internet today. IRate is composed of a probe kit and a quality oracle. The probe kit utilizes the pre-Stream time window (e.g., user's think time and pre-roll advertisement) for measuring network quality by running a lightweight Measurement script on the Web page to induce probe packets from the IRate middlebox on the server side. With the Measurement results, the quality oracle estimates the clients' Streaming performance by determining the highest initial bitrate with a pre-trained decision tree. Our testbed results show that IRate is able to achieve 80% accuracy in determining the bitrate within 10s. By having a better estimate of the best initial bitrate, the buffering time and rebuffering events are significantly reduced in HTTP Streaming. Furthermore, the stability and the efficiency in dynamic adaptive Streaming over HTTP Streaming are also improved by about 40% and 36%, respectively. Our user quality of experience (QoE) experiment further validates that IRate can improve the QoE by more than 6% and the perceived quality of initial quality by 24% in the actual Internet environment.