scholarly journals Multimedia proxy caching mechanism for quality adaptive streaming applications in the Internet

Author(s):  
R. Rejaie ◽  
Haobo Yu ◽  
M. Handley ◽  
D. Estrin
Author(s):  
Chetan Kumar ◽  
Sean Marston

Approximately 4 billion people have access to the Internet, additionally 23 billion devices are connected as of 2018. This has allowed for a substantial growth in data collection which has allowed for Big Data to flourish. The continued increase in user, devices, and Big Data usage has created a significant intensification in Internet traffic. This in turn has the potential to increase user delays when accessing data on the Internet. There are a number of ways to help reduce user latency, web caching is able to reduce web user delays in addition to reducing network traffic and the load on web servers. In this study we propose a proxy level web caching mechanism leveraging historical web patterns to help reduce user latency and accelerate the Internet. In addition we survey the state of the art of other caching approaches. Our investigation shows that using historical patterns as part of a proxy caching mechanisms in large scale networks can significantly shorten the latency for users in this era of Big Data


2012 ◽  
Vol 220-223 ◽  
pp. 2763-2767
Author(s):  
Bei Zhan Wang ◽  
Xiang Deng

With the amount of information on the Internet growing all the time, finding out useful information in internal retrieval field is becoming difficult. This paper analyzed and compared the website internal search technologies, then according to website system architecture and running mechanism features proposed a website internal search method based on Sphinx, which is an open source full text search frame. The new features of this website internal system include message queue server, caching mechanism, periodic indexing updating and much kinds of query requirements. By deploying in application server and taking software testing, the query accuracy and the time of response are improved. The results are satisfied with the expected.


2013 ◽  
Vol 756-759 ◽  
pp. 2157-2162
Author(s):  
Xu Chao Chang ◽  
Chun Hong Zhang ◽  
Li Sun

The Web of Things (WoT) is a refinement of the Internet of Things by integrating heterogeneous devices not only into the Internet (the network), but into the Web (the application layer). With the expansion of applications and devices, WoT Gateway Middleware is bearing more and more pressure from data processing, and therefore the WoT gateway middleware takes more time to respond to the requests of applications. A data collecting and caching mechanism is an effective solution to this problem. In this paper, we begin by describing the gateway middleware architecture with the focus on data collecting and caching functionality. Then the data collecting and caching (DCC) functionality module is discussed in detail. The DCC module supports three kinds of data collecting and caching modes: fundamental mode, configurable mode and adaptive mode. We finally demonstrate how these three modes work. A SMART HOME system is developed as the implementation to verify and discuss the proposed mechanism.


2021 ◽  
Vol 1 (1) ◽  
pp. 121-133
Author(s):  
Hiba K. Abdulazeez ◽  
Nasser N. Khamiss

The main challenge of multimedia applications is how to transmission the Ultra-High Definition (UHD) video streaming in real time over the internet. The real time video streaming suffer from difficulties to be flexible and efficiency cause the wide variation of the available internet bandwidth. To avoid the problems that introduces with internet, in this work the HEVC with required video network adaptive streaming are proposed and tested using different six levels of three UHD video (4K, FHD, 720p, 4CIF, CIF and QCIF). From different experiments that applied find the optimal configuration of H.265 encoding features for six levels to obtain the required PSNR with range (32-38 dB). The important part in this project is a controller that worked incorporate with the encoder (H.265) to obtain the video streaming adaptation on the available bandwidth of the channel. The controller continuously reads the status of channel buffer, then choosing the proper level of video to be transmitted over the channel. The work architecture is content two parts: First, the H.265 codec that apply on the three raw videos with optimal parameters configuration to compress them and get videos with lower bit rate and acceptable quality. Second, the compressed videos, based to controller.....     


2021 ◽  
Author(s):  
Colin Xialin Huang

There are increasing demands for real-time streaming video applications over the Internet. However, the current generation Internet was not originally designed for real-time streaming applications and only provides best-effort services, so there are many challenges in the deployment of video streaming applications over the Internet. This thesis investigates a hybrid end-to-end rate adaptation framework that provides application-level enhancements to achieve Quality of Service (QoS) for MPEG-4 FGS-Encoded video bandwidth on the path and the terminal process capabilities based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the proportion of load status feedbacks from the receivers. The sender and the receivers act together to minimize the possibility of network congestion by adjusting the transmission rate to match the network conditions. This framework achieves inter-receiver fairness in a heterogeneous multicast environment and improves QoS stability for MPEG-4 FGS video streaming over the Internet.


Sign in / Sign up

Export Citation Format

Share Document