首页> 外文期刊>Malaysian Journal of Computer Science >Cloud Based Video on Demand Model with Performance Enhancement
【24h】

Cloud Based Video on Demand Model with Performance Enhancement

机译:具有性能增强的基于云的视频点播模型

获取原文
           

摘要

Today Internet has become an integral part of most of our life. The attempt to display media files through Internet was started from the mid-20th century. Several research works have been reported to provide Video on Demand model in distributed environments like RMI, Component based, SOA and Grid computing. Inspite of these developments, it is been understood that very little progress has been made for several decades, primarily due to the high cost and limited capabilities of computer hardware and standards. Thus it is necessary to develop a model that is reliable, scalable and cost-effective. The proposed research work aims to implement the Video on Demand Service in Cloud Environment in a more secure, scalable and cost effective manner. The performance measures like upload time and download time are analyzed with different video files of varying sizes that are divided into block blobs of 32KB, 64KB and 1MB and are reported.
机译:今天,互联网已经成为我们生活中不可或缺的一部分。通过Internet显示媒体文件的尝试始于20世纪中叶。据报道,有几项研究工作可在RMI,基于组件,SOA和网格计算等分布式环境中提供视频点播模型。尽管有这些发展,但可以理解的是,几十年来取得的进展很小,这主要是由于计算机硬件和标准的高成本以及有限的能力。因此,有必要开发一种可靠,可扩展且具有成本效益的模型。拟议的研究工作旨在以更安全,可扩展且具有成本效益的方式在云环境中实施视频点播服务。使用大小不同的不同视频文件分析了诸如上传时间和下载时间之类的性能指标,这些视频文件分为32KB,64KB和1MB的块Blob,并进行了报告。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号