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» Martingales and Locality in Distributed Computing
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CLUSTER
2011
IEEE
12 years 8 months ago
A Framework for Data-Intensive Computing with Cloud Bursting
—For many organizations, one attractive use of cloud resources can be through what is referred to as cloud bursting or the hybrid cloud. These refer to scenarios where an organiz...
Tekin Bicer, David Chiu, Gagan Agrawal
PODC
2000
ACM
14 years 1 months ago
Debugging distributed programs using controlled re-execution
Distributed programs are hard to write. A distributed debugger equipped with the mechanism to re-execute the traced computation in a controlled fashion can greatly facilitate the ...
Neeraj Mittal, Vijay K. Garg
IPPS
1998
IEEE
14 years 29 days ago
Locality Optimization for Program Instances
Abstract. The degree of locality of a program re ects the level of temporal and spatial concentration of related data and computations. Locality optimization can speed up programs ...
Claudia Leopold
SPAA
2005
ACM
14 years 2 months ago
Decentralized algorithms using both local and random probes for P2P load balancing
We study randomized algorithms for placing a sequence of n nodes on a circle with unit perimeter. Nodes divide the circle into disjoint arcs. We desire that a newly-arrived node (...
Krishnaram Kenthapadi, Gurmeet Singh Manku
IPPS
1999
IEEE
14 years 1 months ago
A Robust Adaptive Metric for Deadline Assignment in Heterogeneous Distributed Real-Time Systems
In a real-time system, tasks are constrained by global endto-end (E-T-E) deadlines. In order to cater for high task schedulability, these deadlines must be distributed over compon...
Jan Jonsson