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Eastern Washington University

Cloud Live video transfer

Abstract

dc:description.abstract

<p>As multimedia content continues to grow, considerations for more effective storage options, like cloud technologies, become apparent. While video has become a mainstream media source on the web, live video streaming is growing as a prominent player in the modern marketplace for both businesses and individuals. For instance, a business owner may want to oversee operations while he or she is away, or an individual may want to surveillance their property. In this work, we propose Cloud Live Video Streaming (CLVS) - a very efficient method to stream live video that creates a separate pricing model from modern video streaming services. The key component to CLVS is Amazon Simple Storage Service (S3), which is used to store video segments and metadata. By using S3, CLVS employs what is referred to as a ”serverless” design by removing the need to stream video through an intermediary server. CLVS also removes the need for third party accounts and license agreements. We implement a prototype of CLVS and compare it with an existing commercial video streaming software - Wowza Streaming Engine. As live video streaming becomes more common, alternative and cost effective solutions are essential.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS) in Computer Science
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Year
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Babcock, Ryan

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Access is available to all users

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dc.ewu.edu/theses/444
OAI identifier oai:identifier
oai:dc.ewu.edu:theses-1444

Chain of custody

source
Harvested from
Eastern Washington University
Base URL
dc.ewu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Babcock, Ryan. Cloud Live video transfer. Thesis thesis, 2017. https://dc.ewu.edu/theses/444