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PE
2006
Springer
79views Optimization» more  PE 2006»
13 years 11 months ago
Parallel downloads for streaming applications - a resequencing analysis
Several recent studies have proposed methods to accelerate the receipt of a file by downloading its parts from different servers in parallel. The schemes suggested in most propose...
Yoav Nebat, Moshe Sidi
DSN
2004
IEEE
14 years 3 months ago
A Decentralized Algorithm for Erasure-Coded Virtual Disks
A Federated Array of Bricks is a scalable distributed storage system composed from inexpensive storage bricks. It achieves high reliability with low cost by using erasure coding a...
Svend Frølund, Arif Merchant, Yasushi Saito...
AAIM
2007
Springer
97views Algorithms» more  AAIM 2007»
14 years 3 months ago
Efficiency of Data Distribution in BitTorrent-Like Systems
BitTorrent (BT) in practice is a very efficient method to share data over a network of clients. In this paper we extend the recent work of Arthur and Panigrahy [1] on modelling the...
Ho-Leung Chan, Tak Wah Lam, Prudence W. H. Wong
VLDB
2001
ACM
104views Database» more  VLDB 2001»
14 years 4 months ago
Cache Fusion: Extending Shared-Disk Clusters with Shared Caches
Cache Fusion TM is a fundamental component of Oracle’s Real Application Cluster configuration, a shared-cache clustered-database architecture that transparently extends databas...
Tirthankar Lahiri, Vinay Srihari, Wilson Chan, N. ...
HPDC
2005
IEEE
14 years 5 months ago
Adaptive data block scheduling for parallel TCP streams
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...
Thomas J. Hacker, Brian D. Noble, Brian D. Athey
SSS
2009
Springer
144views Control Systems» more  SSS 2009»
14 years 6 months ago
Churn-Resilient Replication Strategy for Peer-to-Peer Distributed Hash-Tables
Abstract. DHT-based P2P systems provide a fault-tolerant and scalable mean to store data blocks in a fully distributed way. Unfortunately, recent studies have shown that if connect...
Sergey Legtchenko, Sébastien Monnet, Pierre...
ISMIS
2009
Springer
14 years 6 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...