Adaptive Prefetching Scheme Using Web Log Mining in Cluster-Based Web Systems

The main memory management has been a critical issue to provide high performance in web cluster systems. To overcome the speed gap between processors and disks, many prefetch schemes have been proposed as memory management in web cluster systems. However, inefficient prefetch schemes can degrade the performance of the web cluster system. Dynamic access patterns due to the web cache mechanism in proxy servers increase mispredictions to waste the I/O bandwidth and available memory. Too aggressive prefetch schemes incur the shortage of available memory and performance degradation. Furthermore, modern web frameworks including persistent HTTP make the problem more challenging by reducing the available memory space with multiple connections from a client and web processes management in a prefork mode. Therefore, we attempt to design an adaptive web prefetch scheme by predicting memory status more accurately and dynamically. First, we design Double Prediction-by-Partial-Match Scheme (DPS) t...

• Type: Conference
• Year: 2009
• Where: ICWS
• Authors: Heung Ki Lee, Baik Song An, Eun Jung Kim
• Keywords: Available Memory Space, Computer Science, ICWS 2009, Memory Aware Request, Web Cluster Systems