Decision Making Analysis of Video Streaming Algorithm for Private Cloud Computing Infrastructure
| Autor: | Ibrahim Abduh, David Al-Dabass, Hafsah Nirwana, Rini Nur, Irfan Syamsuddin |
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| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Computer science Distributed computing Cloud computing 02 engineering and technology Data loss 0202 electrical engineering electronic engineering information engineering Bandwidth (computing) Electrical and Electronic Engineering Video streaming Jitter Analytic hierarchy process Private cloud computing business.industry Quality of service 05 social sciences 050301 education Scalability ISO 9126 Intelligent algorithm 020201 artificial intelligence & image processing business 0503 education Algorithm Streaming algorithm Computer network |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 7:3529 |
| ISSN: | 2088-8708 |
| DOI: | 10.11591/ijece.v7i6.pp3529-3535 |
| Popis: | The issue on how to effectively deliver video streaming contents over cloud computing infrastructures is tackled in this study. Basically, quality of service of video streaming is strongly influenced by bandwidth, jitter and data loss problems. A number of intelligent video streaming algorithms are proposed by using different techniques to deal with such issues. This study aims to propose and demonstrate a novel decision making analysis which combines ISO 9126 (international standard for software engineering) and Analytic Hierarchy Process to help experts selecting the best video streaming algorithm for the case of private cloud computing infrastructure. The given case study concluded that Scalable Streaming algorithm is the best algorithm to be implemented for delivering high quality of service of video streaming over the private cloud computing infrastructure. |
| Databáze: | OpenAIRE |
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