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» Data streams: algorithms and applications
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EMSOFT
2011
Springer
14 years 6 months ago
Hard-real-time scheduling of data-dependent tasks in embedded streaming applications
Most of the hard-real-time scheduling theory for multiprocessor systems assumes independent periodic or sporadic tasks. Such a simple task model is not directly applicable to mode...
Mohamed Bamakhrama, Todor Stefanov
INFOCOM
2012
IEEE
13 years 9 months ago
Scaling social media applications into geo-distributed clouds
—Federation of geo-distributed cloud services is a trend in cloud computing which, by spanning multiple data centers at different geographical locations, can provide a cloud plat...
Yu Wu, Chuan Wu, Bo Li 0001, Linquan Zhang, Zongpe...
IISWC
2008
IEEE
16 years 1 months ago
Temporal streams in commercial server applications
Commercial server applications remain memory bound on modern multiprocessor systems because of their large data footprints, frequent sharing, complex non-strided access patterns, ...
Thomas F. Wenisch, Michael Ferdman, Anastasia Aila...
FOCS
2000
IEEE
15 years 11 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...