Open AccessDecision Making Analysis of Video Streaming Algorithm for Private Cloud Computing Infrastructure
Author(s) -
Irfan Syamsuddin,
Rini Nur,
Hafsah Nirwana,
Ibrahim Abduh,
David Al-Dabass
Publication year - 2017
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v7i6.pp3529-3535
Subject(s) - computer science , cloud computing , scalability , streaming algorithm , algorithm , video streaming , jitter , quality of service , video quality , distributed computing , multimedia , real time computing , computer network , database , operating system , telecommunications , metric (unit) , operations management , mathematics , economics , upper and lower bounds , mathematical analysis
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.