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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 2 months ago
CoTS: A Scalable Framework for Parallelizing Frequency Counting over Data Streams
Applications involving analysis of data streams have gained significant popularity and importance. Frequency counting, frequent elements and top-k queries form a class of operato...
Sudipto Das, Shyam Antony, Divyakant Agrawal, Amr ...
DSN
2008
IEEE
14 years 2 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
CLUSTER
2008
IEEE
14 years 2 months ago
A trace-driven emulation framework to predict scalability of large clusters in presence of OS Jitter
—Various studies have pointed out the debilitating effects of OS Jitter on the performance of parallel applications on large clusters such as the ASCI Purple and the Mare Nostrum...
Pradipta De, Ravi Kothari, Vijay Mann
ICDCS
2011
IEEE
12 years 7 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
GRID
2004
Springer
14 years 1 months ago
Parallel and Distributed Astronomical Data Analysis on Grid Datafarm
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a possibility of new science and new knowledge in the field, while it was not fe...
Naotaka Yamamoto, Osamu Tatebe, Satoshi Sekiguchi