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Throughput prediction is one of good solutions to improve quality of mobile applications (e.g., YouTube or Netflix) for video streaming delivery services in mobile networks. This is because such applications require monitoring the network performances to control content quality, thus guarantee quality of service (QoS) and quality of experience (QoE). In this paper, we propose a history-based TCP throughput...
The increasing number of mobile devices with high processing power and high-resolution screens had led to an enormous growth of mobile video traffic. Mobile network operators face the requirement to efficiently support large numbers of concurrent unicast streaming sessions. In the present work, the long-term quality of experience perceived by the user, the fairness, and the overall system efficiency...
We present a quality-selection policy for Quality of Experience (QoE) demanding video streaming in wireless networks. The proposed policy predicts the TCP throughput and adapts video segment requests in order to assure high QoE by taking into account the client buffer level. We introduce the concept of Affordable delivery Time (AT) and we design a buffer-based algorithm, hereafter referred to as Buffer-based...
By leveraging geolocation and contextual information for mobile users, the prediction of the future throughput becomes more and more feasible. Many approaches on contextaware content delivery have been explored to balance the operators' limited resources with users' requirements. However, the perfect knowledge of the future context cannot be easily performed in real world, which represents a hurdle...
With the wide deployment of IEEE 802.11 Wireless Local Area Networks, it has become common for mobile nodes (MNs) to have multiple access points (APs) to associate with. With the Received Signal Strength Indicator (RSSI)-based AP selection algorithm, which is implemented in most commercial IEEE 802.11 clients, the AP with the best signal strength is selected regardless of the candidate AP’s available...
Throughput prediction contributes a lot to adaptive bitrate control, adjusting the quality of video streaming accordingly to offer smooth media transmission and save energy at the same time. To solve the problem of throughput prediction for real time communication, this paper puts forward a new history-based throughput prediction method applying Hidden Markov Model in mobile networks. The main purpose...
Wireless Local Area Networks (WLANs) based on the IEEE 802.11 standard have been spreading rapidly. Access Points (AP) are being established in various public places, such as railway stations and airports, as well as private residences. Moreover, the rate of public WLAN services continues to increase. Here the throughput prediction of an AP in a multi-rate environment (amount of receipt data including...
Providing robust video streaming along with efficient wireless resource usage is necessary for mobile users, especially on subway, and mobile carriers. To achieve this, we propose a highly-reliable buffer strategy based on long-term throughput prediction. Our approach has two elements which are called “long-term throughput prediction” and “guaranteed playout buffer filling mechanism.” To avoid any...
With the increasing demand for video streaming in mobile environment, we have been tackling a research on throughput prediction based on the measurement history data in order to improve service quality[1][2]. Since throughput fluctuation occurs sharply in mobile environment, useless packet loss or congestion occurs when available network bandwidth is insufficient compared to the bit rate of video...
Mobile devices experience high fluctuations in data throughput over cellular networks such as 3G and LTE networks due to two key factors - link quality and cellular load. Communication during a low throughput period leads to increase in energy consumption for the data transfer. To address this problem, we designed LoadSense [3], a novel technique to passively estimate cellular load on a mobile device,...
Adaptive HTTP streaming has become a new trend to support adaptivity in video delivery. A HTTP streaming client needs to estimate exactly resource availability and resource demand. In this paper, we focus on the most important resource which is bandwidth. To this end, our proposed streaming approach consists of 1) throughput prediction and 2) content bitrate prediction. The experiments show that our...
Based on the observed data, which are the historical throughputs of Shantou Port of China, this paper attains the required curve for prediction using the calculation process of Pearson type III distribution. According to the estimated economic conditions of the year for which the throughput will be predicted, the predicted throughput of that year can be determined on the curve. Also, the results from...
Extensive research addressing IEEE 802.11e enhanced distributed channel access (EDCA) performance analysis, by means of analytical models, exist in the literature. It started mainly with the famous Bianchi's model and still continues today as several aspects have not been covered yet. Unfortunately, the currently proposed models, even though numerous, do not reach the required accuracy due to the...
This paper presents a load balancing solution for a cluster of Web servers that considers QoS in order to differentiate the service provided to the clients when the Web system is receiving a high volume of traffic. Adaptability is a needed feature to suit the balancing parameters to the fluctuations of the Web traffic. We monitor the incoming workload to the system and tune the parameters more frequently...
Final testing is one of the major processes in semiconductor product manufacturing. The testing is performed to assure the quality of the manufactured parts (integrated circuits) before their shipping to customers. The process of testing is highly automated. Special sophisticated electronic systems called Automatic Test Equipment (ATE or just Testers) and robotic electromechanical machinery called...
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