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標題Title: An Architecture for Distributed High Performance Video Processing in the Cloud
作者Authors: 吳靖緯
上傳單位Department: 資訊工程系
上傳時間Date: 2012-12-7
上傳者Author: 吳靖緯
審核單位Department: 資訊工程系
審核老師Teacher: 許子衡
檔案類型Categories: 研究生論文報告Thesis
關鍵詞Keyword: Distributed Architectures, Cloud Computing, System Architectures, Service Orientation, Video Compression
摘要Abstract: Video processing applications are notably data
intense, time, and resource consuming. Upfront infrastructure
investment is usually high, specially when dealing with
applications where time-to- market is a crucial requirement,
e.g., breaking news and journalism. Such infrastructures are
often inefficient, because due to demand variations, resources
may end up idle a good portion of the time. In this paper, we
propose the Split&Merge architecture for high performance
video processing, a generalization of the MapReduce paradigm
that rationalizes the use of resources by exploring on demand
computing. To illustrate the approach, we discuss an
implementation of the Split&Merge architecture, that reduces
video encoding times to fixed duration, independently of the
input size of the video file, by using dynamic resource
provisioning in the Cloud.

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