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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
ATAL
2007
Springer
13 years 12 months ago
Towards simulating billions of agents in thousands of seconds
Building multi-agent systems that can scale up to very large number of agents is a challenging research problem. In this paper, we present Distributed Multi Agent System Framework...
I. V. Aprameya Rao, Manish Jain, Kamalakar Karlapa...
ICWN
2007
13 years 9 months ago
Comparing Agent Paradigms for Resource Management in Sensor Networks
— Management of power and other resources that effect field life is an important consideration in sensor networks. This paper presents and compares alternative agent paradigms ap...
Anish Anthony, Thomas C. Jannett
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
11 years 10 months ago
Oracle in-database hadoop: when mapreduce meets RDBMS
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
Xueyuan Su, Garret Swart
IPPS
2009
IEEE
14 years 2 months ago
Ibis: Real-world problem solving using real-world grids
Ibis is an open source software framework that drastically simplifies the process of programming and deploying large-scale parallel and distributed grid applications. Ibis suppor...
Henri E. Bal, Niels Drost, Roelof Kemp, Jason Maas...