A Predictive-Reactive Procedure for Improving the Strength of Simultaneous Data Services
Real-time data services can benefit data-intensive real-time applications, e.g., e-commerce, via timely transaction processing using fresh data, e.g., the current stock prices. Stock quote queries and trade transactions should be processed within the acceptable response time bound using up-to-date stock prices. If the service delay is longer than a few seconds, most ecommerce clients tend to leave. Transaction processing based on stale data, such as outdated stock prices, may adversely affect decision making. Similarly, data service requests for transportation management should be processed in a timely manner using fresh data representing the current traffic status.