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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 11 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...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 10 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
14 years 10 months ago
Automated SQL tuning through trial and (sometimes) error
SQL tuning--the attempt to improve a poorly-performing execution plan produced by the database query optimizer-is a critical aspect of database performance tuning. Ironically, as ...
Herodotos Herodotou, Shivnath Babu
ACSAC
2007
IEEE
14 years 4 months ago
Retrofitting the IBM POWER Hypervisor to Support Mandatory Access Control
Server virtualization more readily enables the collocation of disparate workloads on a shared physical platform. When employed on systems across a data center, the result can be a...
Enriquillo Valdez, Reiner Sailer, Ronald Perez
SIGUCCS
2006
ACM
14 years 4 months ago
Because we have better things to do: automating common support tasks
As technology permeates more aspects of our everyday lives, greater demands are placed on information technology personnel. Lehigh University computing consultants have found thei...
Keith B. Erekson, Stephen G. Lewis