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SSDBM
2005
IEEE
132views Database» more  SSDBM 2005»
16 years 1 days ago
Co-Scheduling of Computation and Data on Computer Clusters
Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
PLDI
2009
ACM
16 years 7 months ago
Automatic generation of library bindings using static analysis
High-level languages are growing in popularity. However, decades of C software development have produced large libraries of fast, timetested, meritorious code that are impractical...
Tristan Ravitch, Steve Jackson, Eric Aderhold, Ben...
PODC
2006
ACM
16 years 12 days ago
Grouped distributed queues: distributed queue, proportional share multiprocessor scheduling
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...
Bogdan Caprita, Jason Nieh, Clifford Stein
CLOUD
2010
ACM
15 years 11 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...
WWW
2007
ACM
16 years 7 months ago
Is high-quality vod feasible using P2P swarming?
Peer-to-peer technologies are increasingly becoming the medium of choice for delivering media content, both professional and homegrown, to large user populations. Indeed, current ...
Siddhartha Annapureddy, Saikat Guha, Christos Gkan...