Hierarchical resource management for Web server clusters with dynamic content
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Scheduling optimization for resource-intensive Web requests on server clusters
Proceedings of the eleventh annual ACM symposium on Parallel algorithms and architectures
Scheduling to minimize average stretch without migration
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Online Scheduling to Minimize Average Stretch
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Efficient support for content-based routing in web server clusters
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
| Hi-index | 0.00 |
Clustering support with a single-system image view for large-scale Web servers is important to improve the system scalability in processing a large number of concurrent requests from Internet, especially when dynamic content generation using CGI or other protocols becomes increasingly popular. This paper studies a two-level scheduling framework with a master/slave architecture for clustering Web servers. Such an architecture has advantages in dynamic resource recruitment, fail-over management and it can also improve server performance compared to a flat architecture. The key methods we propose to make this architecture efficient are the separation of static and dynamic content processing, low overhead remote execution, and reservation-based scheduling which considers both I/O and CPU utilization. This paper provides a comparison of several scheduling approaches using experimental evaluation and analytic modeling. The results show that proper optimization in resource management can lead to over 65% performance improvement for a fixed number of nodes, and can achieve more substantial improvement when considering idle resource recruitment.