Cluster-based scalable network services
Proceedings of the sixteenth ACM symposium on Operating systems principles
Scheduling optimization for resource-intensive Web requests on server clusters
Proceedings of the eleventh annual ACM symposium on Parallel algorithms and architectures
Real-Time Access Control and Reservation on B-Tree IndexedData
Real-Time Systems
Dynamic Processor Scheduling with Client Resources for Fast Multi-Resolution WWW Image Browsing
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
Scalable Distributed Query and Update Service Implementations for XML Document Elements
RIDE '01 Proceedings of the 11th International Workshop on research Issues in Data Engineering
Scalable, distributed data structures for internet service construction
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Detecting visually similar Web pages: Application to phishing detection
ACM Transactions on Internet Technology (TOIT)
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We investigate scalability issues involved in developing high performance digital library systems. Our observations and solutions are based on our experience with the Alexandria Digital Library (ADL) testbed under development at UCSB. The current ADL system provides on-line browsing and processing of digitized maps and other geo-spatially mapped data via the World Wide Web (WWW). A primary activity of the ADL system involves computation and disk I/O for accessing compressed multi-resolution images with hierarchical data structures, as well as other duties such as supporting database queries and on-the-fly HTML page generation. Providing multi-resolution image browsing services can reduce network traffic but impose some additional cost at the server. We discuss the necessity of having a multi-processor DL server to match potentially huge demands in simultaneous access requests from the Internet. We have developed a distributed scheduling system for processing DL requests, which actively monitors the usages of CPU, I/O channels and the interconnection network to effectively distribute work across processing units to exploit task and I/O parallelism. We present an experimental study on the performance of our scheme in addressing the scalability issues arising in ADL wavelet processing and file retrieval. Our results indicate that the system delivers good performance on these types of tasks.