QoS management in Web-based real-time data services

S. Son, K. Kang
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引用次数: 19

Abstract

The demand for real-time data services has been increasing recently. Many e-commerce applications and web-based information services are becoming very sophisticated in their data needs. They span the spectrum from low level status data, e.g., stock prices, to high level aggregated data, e.g., recommended selling/buying point. In these applications, it is desired to process user requests within their deadlines using fresh data, which reflect the current market status. Current web-based data services are poor at processing user requests in a timely manner using fresh data. To address this problem, we present a framework for guaranteed real-time data services in unpredictable environments. We also introduce a possible application of our approach in the distributed environment.
基于web的实时数据服务中的QoS管理
近年来,对实时数据服务的需求不断增加。许多电子商务应用程序和基于web的信息服务在数据需求方面变得非常复杂。它们跨越了从低级状态数据(例如,股票价格)到高级汇总数据(例如,推荐的卖出/买入点)的范围。在这些应用程序中,希望使用反映当前市场状态的新数据在截止日期内处理用户请求。当前基于web的数据服务在使用新数据及时处理用户请求方面表现不佳。为了解决这个问题,我们提出了一个在不可预测的环境中保证实时数据服务的框架。我们还介绍了我们的方法在分布式环境中的可能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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