Digital Government: Scalable Data Collection Infrastructure for Digital Government Applications

EIA 0091474 Hanan Samet马里兰大学数字政府：数字政府应用的可扩展数据收集基础设施该项目与美国国税局、司法部和美国人口普查局合作，将探索通过广域网收集数据。 特别令人感兴趣的是从多个网站向一个机构提交大量信息的情况（热点）;例如，在4月14日至14日的时间范围内向IRS提交电子税务表格。 在此背景下，研究问题将包括可扩展性和隐私/完整性。 其他可能的政府应用包括在截止日期前提交提案，如NSF Fastlane系统，以及数字民主投票。 要开发的技术将工作在TCP/IP的应用层，实现一小部分原始服务。

EIA 0091474Hanan SametUniversity of MarylandDigital Government: Scalable Data Collection Infrastructure for Digital Government ApplicationsThis project in collaboration with the Internal Revenue Service, the Department of Justice, and the US Census Bureau will explore the collection of data over wide-area networks. Of particular interest are situations with high submission volume from a variety of sites to one agency (hot spots); e.g. the submission of electronic tax forms to IRS in the April 14-14 timeframe. Within that context, research issues will include scalability, and privacy/integrity. Other possible government applications include submissions of proposals at deadlines, such as the NSF Fastlane system, and voting in digital democracy. The technology to be developed will work at the application layer of TCP/IP, implementing a small set of primitive services.