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STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 5 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
127
Voted
OSDI
2004
ACM
16 years 4 months ago
Understanding and Dealing with Operator Mistakes in Internet Services
Operator mistakes are a significant source of unavailability in modern Internet services. In this paper, we first characterize these mistakes by performing an extensive set of exp...
Fábio Oliveira, Kiran Nagaraja, Ricardo Bia...
140
Voted
SIGMOD
2003
ACM
104views Database» more  SIGMOD 2003»
16 years 4 months ago
TelegraphCQ: Continuous Dataflow Processing
Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed...
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande...
SOSP
2001
ACM
16 years 1 months ago
Anticipatory scheduling: A disk scheduling framework to overcome deceptive idleness in synchronous I/O
Disk schedulers in current operating systems are generally work-conserving, i.e., they schedule a request as soon as the previous request has finished. Such schedulers often requ...
Sitaram Iyer, Peter Druschel
136
Voted
CVPR
2010
IEEE
16 years 29 days ago
Visual Recognition and Detection Under Bounded Computational Resources
Visual recognition and detection are computationally intensive tasks and current research efforts primarily focus on solving them without considering the computational capability ...
Sudheendra Vijayanarasimhan, Ashish Kapoor