Academic Journal

Learning to Classify Parallel Input/Output Access Patterns.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Learning to Classify Parallel Input/Output Access Patterns.
Συγγραφείς: Madhyastha, Tara M., Reed, Daniel A.
Πηγή: IEEE Transactions on Parallel & Distributed Systems. Aug2002, Vol. 13 Issue 8, p802. 12p. 2 Black and White Photographs, 2 Diagrams, 5 Charts, 5 Graphs.
Θεματικοί όροι: *Algorithms, *Artificial neural networks, File processing (Computer science)
Περίληψη: Examines the input/output access pattern in parallel file systems. Use of learning algorithms to classify input/output access patterns; Utilization of artificial neural network in recognizing access patterns; Accommodation of various high-level interfaces in the access pattern classification model.
Βάση Δεδομένων: Business Source Index
Περιγραφή
ISSN:10459219
DOI:10.1109/TPDS.2002.1028437