.png){kind=icon}
返回
Gray Computing: A Framework for Computing with Background JavaScript Tasks
.png){kind=icon}
PRE
AI
DOI：10.1109/TSE.2017.2772812.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Website visitors are performing increasingly complex computational work on the websites' behalf, such as validating forms, rendering animations, and producing data visualizations. In this article, we explore the possibility of increasing the work offloaded to web visitors' browsers. The idle computing cycles of web visitors can be turned into a large-scale distributed data processing engine, which we term gray computing. Past research has looked primarily at either volunteer computing with specialized clients or browser-based volunteer computing where the visitors keep their browsers open to a single web page for a long period of time. This article provides a comprehensive analysis of the architecture, performance, security, cost effectiveness, user experience, and other issues of gray computing distributed data processing engines with heterogeneous computing power, non-uniform page view times, and high computing pool volatility. Several real-world applications are examined and gray computing is shown to be cost effective for a number of complex tasks ranging from computer vision to bioinformatics to cryptology.
Keyword:
Software economics
JavaScript
web browser
cloud computing
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.6
论文数:
2.8K
被引数:
1.1W
机构
引用论文
.png){kind=icon}
分享收藏
Characterization of polymer matrix and low melting point solder for anisotropic conductive film各向异性导电膜用聚合物基体及低熔点焊料的表征
PREAI
分享收藏
查看更多内容