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» Improving Disk Throughput in Data-Intensive Servers
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2004
13 years 6 months ago
Circus: Opportunistic Block Reordering for Scalable Content Servers
Whole-file transfer is a basic primitive for Internet content dissemination. Content servers are increasingly limited by disk arm movement given the rapid growth in disk density, ...
Stergios V. Anastasiadis, Rajiv Wickremesinghe, Je...
WWW
2003
ACM
14 years 6 months ago
A Light-weight, Temporary File System for Large-scale Web Servers
Several recent studies have pointed out that file I/Os can be a major performance bottleneck for some large Web servers. Large I/O buffer caches often do not work effectively for ...
Dong Li, Jun Wang
DPD
2006
141views more  DPD 2006»
13 years 5 months ago
Efficient parallel processing of range queries through replicated declustering
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
CIDR
2009
155views Algorithms» more  CIDR 2009»
13 years 6 months ago
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases
Workloads that comb through vast amounts of data are gaining importance in the sciences. These workloads consist of "needle in a haystack" queries that are long running ...
Xiaodan Wang, Randal C. Burns, Tanu Malik
VLDB
1992
ACM
161views Database» more  VLDB 1992»
13 years 9 months ago
Performance and Scalability of Client-Server Database Architectures
Recent developments in software and hardware changed the way database systems are built and operate. In this paper we present database architectures based on the Client Server par...
Alex Delis, Nick Roussopoulos