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» Operator scheduling in data stream systems
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ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 2 months ago
How to scalably and accurately skip past streams
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
Supratik Bhattacharyya, André Madeira, S. M...
ICS
2007
Tsinghua U.
14 years 1 months ago
GridRod: a dynamic runtime scheduler for grid workflows
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
Shahaan Ayyub, David Abramson
SOSP
2009
ACM
14 years 4 months ago
Quincy: fair scheduling for distributed computing clusters
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...
EDBT
2009
ACM
137views Database» more  EDBT 2009»
13 years 5 months ago
Flexible and scalable storage management for data-intensive stream processing
Data Stream Management Systems (DSMS) operate under strict performance requirements. Key to meeting such requirements is to efficiently handle time-critical tasks such as managing...
Irina Botan, Gustavo Alonso, Peter M. Fischer, Don...
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
14 years 4 days ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus