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CIKM
2006
Springer
14 years 7 days ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
CONEXT
2009
ACM
13 years 9 months ago
Macroscope: end-point approach to networked application dependency discovery
Enterprise and data center networks consist of a large number of complex networked applications and services that depend upon each other. For this reason, they are difficult to ma...
Lucian Popa 0002, Byung-Gon Chun, Ion Stoica, Jaid...
CLOUD
2010
ACM
14 years 1 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ICSE
2004
IEEE-ACM
14 years 8 months ago
A Hybrid Architectural Style for Distributed Parallel Processing of Generic Data Streams
Immersive, interactive applications grouped under the concept of Immersipresence require on-line processing and mixing of multimedia data streams and structures. One critical issu...
Alexandre R. J. François
ASPLOS
2009
ACM
14 years 9 months ago
Architectural support for SWAR text processing with parallel bit streams: the inductive doubling principle
Parallel bit stream algorithms exploit the SWAR (SIMD within a register) capabilities of commodity processors in high-performance text processing applications such as UTF8 to UTF-...
Robert D. Cameron, Dan Lin