Efficient Prediction of Application Metrics for E-Services

电子服务应用指标的有效预测

• 批准号: DP0345713
• 负责人: Prof Arkady Zaslavsky
• 金额: $ 13.49万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-02-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0345713
• 关键词: Efficient; Prediction; Application; Metrics; Services

Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defined. The project will result in the development of a prototype system to support prediction of service levels. This system will be accessible to the Australian e-services industry via a web interface.

应用程序服务提供商(ASP)是增长最快的电子服务类别之一，其运营原则是租用软件应用程序。该项目旨在开发预测技术，以评估服务质量指标的应用程序。考虑到互联网的动态特性和未正式定义的应用程序度量的语义，可以确保的服务级别的有效预测是具有挑战性的。该项目将导致开发一个原型系统，以支持服务水平的预测。澳大利亚电子服务行业可以通过网络界面访问该系统。