316 search results - page 18 / 64 » Decoupling Computation and Data Scheduling in Distributed Da... |
107
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SEUS
2008
IEEE
15 years 3 months ago
2008
IEEE
The computing systems are becoming deeply embedded into ordinary life and interact with physical processes and events. They monitor the physical world with sensors and provide app...
101
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IPPS
2007
IEEE
15 years 3 months ago
2007
IEEE
In today’s world, stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely...
IPPS
2007
IEEE
15 years 3 months ago
2007
IEEE
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
EUROPAR
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
HPDC
1999
IEEE
15 years 1 months ago
1999
IEEE
Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...