首页> 外文学位 >Evaluation of cloud based web acceleration solutions for mobile, wireless devices.
【24h】

Evaluation of cloud based web acceleration solutions for mobile, wireless devices.

机译:针对移动,无线设备的基于云的Web加速解决方案的评估。

获取原文
获取原文并翻译 | 示例

摘要

This thesis investigates and analyzes the contributions made by web acceleration methods using cloud enabled techniques for mobile devices. Experiments were conducted to evaluate the performance of web acceleration techniques and to quantify the improvement in browsing experience achieved using cloud techniques. The claims made by Amazon to provide better browsing experience using cloud computing techniques were verified and discrepancies, if any found, were explained. To quantify Kindle's performance, page loading tests were conducted on Samsung Galaxy Tab S2, Maxthon and Proxy Central application. In all these tests, Kindle Fire performed better than the others in mobile environment in the cloud enabled mode. Page loading tests were performed on the Silk browser in cloud enabled and disabled mode to verify web browsing improvement achieved using cloud computing techniques. It was found that the page load time and inbound bytes were significantly reduced only for Amazon.com website. Cloud computing techniques used for Amazon.com website should be used for other popular websites as well to provide better browsing experience.
机译:本文研究并分析了使用云技术在移动设备上使用Web加速方法所做的贡献。进行了实验,以评估网络加速技术的性能,并量化使用云技术实现的浏览体验的改善。亚马逊声称使用云计算技术提供更好的浏览体验的主张得到了验证,并解释了差异(如果发现)。为了量化Kindle的性能,在Samsung Galaxy Tab S2,Maxthon和Proxy Central应用程序上进行了页面加载测试。在所有这些测试中,在启用了云的模式下,Kindle Fire在移动环境中的性能均优于其他测试。在启用和禁用云的模式下,在Silk浏览器上执行了页面加载测试,以验证使用云计算技术实现的Web浏览改进。发现仅对于Amazon.com网站,页面加载时间和入站字节数显着减少。用于Amazon.com网站的云计算技术也应用于其他流行网站,以提供更好的浏览体验。

著录项

  • 作者

    Kallianpur, Chaitra.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Web Studies.;Computer Science.
  • 学位 M.S.
  • 年度 2012
  • 页码 62 p.
  • 总页数 62
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

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