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» The communication complexity of distributed task allocation
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130
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CLUSTER
2006
IEEE
15 years 3 months ago
A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems
When users' tasks in a distributed heterogeneous computing environment (e.g., cluster of heterogeneous computers) are allocated resources, the total demand placed on some sys...
Jong-Kook Kim, Debra A. Hensgen, Taylor Kidd, Howa...
237
Voted
ICDT
2011
ACM
270views Database» more  ICDT 2011»
14 years 7 months ago
On the equivalence of distributed systems with queries and communication
Distributed data management systems consist of peers that store, exchange and process data in order to collaboratively achieve a common goal, such as evaluate some query. We study...
Serge Abiteboul, Balder ten Cate, Yannis Katsis
140
Voted
CF
2009
ACM
15 years 10 months ago
Strategies for dynamic memory allocation in hybrid architectures
Hybrid architectures combining the strengths of generalpurpose processors with application-specific hardware accelerators can lead to a significant performance improvement. Our ...
Peter Bertels, Wim Heirman, Dirk Stroobandt
124
Voted
CLUSTER
2001
IEEE
15 years 7 months ago
The Master-Slave Paradigm with Heterogeneous Processors
In this paper, we revisit the master-slave tasking paradigm in the context of heterogeneous processors. We assume that communications take place in exclusive mode. We present a po...
Olivier Beaumont, Arnaud Legrand, Yves Robert
129
Voted
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
15 years 2 months ago
Performance-driven task co-scheduling for MapReduce environments
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...