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Optimized congestion aware and rate-adaptive multimedia communication for application in fragile environment during disaster management and recovery

Optimized congestion aware and rate-adaptive multimedia communication for application in fragile... Delivery of multimedia content over network has always been given vital importance since its inception. Different models for content delivery have been proposed with respect to multiple factors like bandwidth, quality of content, importance, and delivery method, etc. In this paper, we propose a Hyper Text Transfer Protocol-based rate adaptive transcoding and streaming technique that maintains its multimedia streaming quality, especially when network grows congested and fragile during Disaster Management and Recovery operations. The proposed solution provides users high-quality audio and video contents even when network resources are limited and fragile. We developed a real-time test bed that can deliver high-quality streaming videos by transcoding the original video in real time to a scalable codec, which allows streaming adaptation according to network dynamics. We also performed validation tests to ensure multimedia delivery in cloud computing, functionality on our hosted website for live communication between transmitter and receiver. From our experiments, we observed that the rate adaptive transcoding and streaming can efficiently deliver information services such as live multimedia in emergency and disasters under very low bandwidth environments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Reliable Intelligent Environments Springer Journals

Optimized congestion aware and rate-adaptive multimedia communication for application in fragile environment during disaster management and recovery

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References (11)

Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer International Publishing Switzerland
Subject
Computer Science; Performance and Reliability; Software Engineering/Programming and Operating Systems; Artificial Intelligence (incl. Robotics); Simulation and Modeling; User Interfaces and Human Computer Interaction; Health Informatics
ISSN
2199-4668
eISSN
2199-4676
DOI
10.1007/s40860-015-0012-4
Publisher site
See Article on Publisher Site

Abstract

Delivery of multimedia content over network has always been given vital importance since its inception. Different models for content delivery have been proposed with respect to multiple factors like bandwidth, quality of content, importance, and delivery method, etc. In this paper, we propose a Hyper Text Transfer Protocol-based rate adaptive transcoding and streaming technique that maintains its multimedia streaming quality, especially when network grows congested and fragile during Disaster Management and Recovery operations. The proposed solution provides users high-quality audio and video contents even when network resources are limited and fragile. We developed a real-time test bed that can deliver high-quality streaming videos by transcoding the original video in real time to a scalable codec, which allows streaming adaptation according to network dynamics. We also performed validation tests to ensure multimedia delivery in cloud computing, functionality on our hosted website for live communication between transmitter and receiver. From our experiments, we observed that the rate adaptive transcoding and streaming can efficiently deliver information services such as live multimedia in emergency and disasters under very low bandwidth environments.

Journal

Journal of Reliable Intelligent Environments – Springer Journals

Published: Nov 25, 2015

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