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ATAL
2004
Springer
15 years 12 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
HPDC
2000
IEEE
15 years 11 months ago
Event Services for High Performance Computing
The Internet and the Grid are changing the face of high performance computing. Rather than tightly-coupled SPMD-style components running in a single cluster, on a parallel machine...
Greg Eisenhauer, Fabián E. Bustamante, Kars...
GRID
2006
Springer
15 years 6 months ago
Personal Workspace for Large-Scale Data-Driven Computational Experiment
1 -- As the scale and complexity of data-driven computational science grows, so grows the burden on the scientists and students in managing the data products used and generated dur...
Yiming Sun, Scott Jensen, Sangmi Lee Pallickara, B...
DSN
2004
IEEE
15 years 10 months ago
The Recursive NanoBox Processor Grid: A Reliable System Architecture for Unreliable Nanotechnology Devices
Advanced molecular nanotechnology devices are expected to have exceedingly high transient fault rates and large numbers of inherent device defects compared to conventional CMOS de...
A. J. KleinOsowski, Kevin KleinOsowski, Vijay Rang...
PDP
2008
IEEE
16 years 26 days ago
Behavioural Skeletons in GCM: Autonomic Management of Grid Components
Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying...
Marco Aldinucci, Sonia Campa, Marco Danelutto, Mar...