课题基金 / 基金详情

A secure, cost-effective, and performance-optimized online social Web service

A secure, cost-effective, and performance-optimized online social Web service
安全、经济高效且性能优化的在线社交 Web 服务
批准号:
463810-2014
负责人:
Niu, Di
金额:
$0.91万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Plus Grants Program
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

项目摘要

项目成果

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中文摘要
翻译
在完成的Engage项目中,搭建了bridge china.ca社交网站的初步版本,并通过OAuth 2.0与新浪微博社交网站进行接口。目前正在测试中,在与中国对接之前还有几个重要的步骤可以进入阶段并最终投入生产。这些步骤围绕着安全性、托管和操作成本、性能、用户数据管理、日志记录和分析等问题。在这个持续的项目中,我们首先致力于加强开发的PHP和Mysql代码的安全性,使包括密码在内的用户信息得到强加密和保护,并检测和处理对数据库的恶意攻击,如SQL注入。其次,将进行详细的成本分析,对专用服务器、租用虚拟主机和云计算进行比较。特别是,通过Amazon EC2、rackspace和可能的其他云提供商,将详细研究前端服务器和后端数据库的自动扩展机制,以最大限度地降低公司的运营成本。第三,将对页面下载和数据库查询速度进行一些优化,以减少响应时间。最后,结合详细的数据分析、日志记录和同步功能,处理用户数据分析和清理,在测试服务器、登台服务器和备份服务器之间自动移动和同步数据。我们的目标是继续修复在当前版本的代码中发现的问题,以建立一个安全、经济高效和高性能的网站,与生产质量相匹配。
英文摘要
In the completed Engage project, a preliminary version of the social networking website for bridgingchina.ca was constructed with interface to Sina Microblog social networking site via OAuth 2.0. Currently under testing, several important steps remain before bridgingchina.ca can be taken into staging and eventually into production. These steps are centered around the issues of security, hosting and operational cost, performance, user data management, logging and analysis. In this continued project, we first aim to strengthening the security of the developed PHP and Mysql code so that the user information including password are strongly encrypted and protected and that malicious attacks to the database such as SQL injections can be detected and handled. Second, detailed cost analysis will be conducted to compare between dedicated servers, rented virtual hosts and cloud computing. Especially, the autoscaling mechanism of frontend servers as well as backend database via Amazon EC2, rackspace and possibly other cloud providers will be studied in detail to minimize the company operational cost. Third, several optimizations regarding page download and database query speed will be conducted to reduce the response time. Finally, detailed data analysis, logging and synchronization functions will be incorporated to handle the user data analysis and cleaning, move and synchronize data automatically between the testing server, staging server, and backup server. The objective is to continue to fix the problems found in the current version of code to build a secure, cost-effective and high performance website that matches production quality.
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Distributed Optimization for Machine Learning on Decentralized Data and Features
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