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RESOURCE ALLOCATION BASED ON RATES, LOAD AND THROUGHPUT FOR VIDEO TRANSCODING IN A CLOUD

Author(s)
Fareed Jokhio Department of Computer Systems Engineering, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah,Pakistan.
Umair Ali Khan Department of Computer Systems Engineering, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah,Pakistan.
Intesab Hussain Sadhayo Department of Computer Systems Engineering, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah,Pakistan.
Anees Ahmed Soomro Department of Computer Systems Engineering, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah,Pakistan.
Azhar Uddin Jokhio Department of Electronics Engineering, MUET Jamshoro, Pakistan
Abstract
This paper presents resource allocation algorithms for video transcoding service on a cloud. The main objective of the proposed algorithms is to allocate and de-allocate Virtual Machines (VMs) horizontally in a cluster of video transcoding servers. For cost-efficiency and better utilization of resources, video segmentation at group of pictures level is used. With video segmentation, a video is split into smaller segments that can be sent for transcoding on any transcoding server. To demonstrate the efficiency of the proposed algorithms, a discrete-event simulation is used. The proposed algorithms are also compared with the existing video transcoding algorithms in a cloud computing environment. The existing VM allocation algorithms are based on accumulative play rate and transcoding rate, while our improved proactive VM allocation algorithms also take into account the overall computation load and system throughput. The results indicate that the proposed algorithms are more cost-efficient than the existing algorithms.
Publication Details
Page(s) 43-50
DOI DOI not available
Published Journal: Quaid-e-Awam University Research Journal of Engineering, Science and Technology, Volume: 13, Issue: 2, Year: 2014

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Keywords
Cloud Computing, resource allocation, load prediction, Video transcoding
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