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» Schedule optimization for data processing flows on the cloud
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WSC
1998
13 years 10 months ago
Customer Interfacing - Lessons Learned
Customer interfacing is the process through which one works with and relates to their customer. Often in the technical world, modelers find it easier to interface with computers r...
David M. Ferrin, Richard P. Lavecchia
SODA
2008
ACM
101views Algorithms» more  SODA 2008»
13 years 10 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
ORL
2000
77views more  ORL 2000»
13 years 8 months ago
Improved dynamic programs for some batching problems involving the maximum lateness criterion
We study four scheduling problems involving the maximum lateness criterion and an element of batching. For all the problems that we examine, algorithms appear in the literature th...
Albert P. M. Wagelmans, A. E. Gerodimos
VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 8 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
WSC
2007
13 years 11 months ago
Simulation tool for manpower forecast loading and resource leveling
Large scale / mega projects are lengthy complex endeavors that require significant planning by management, engineers and construction personnel to ensure the success of the projec...
Mikhail Hanna, Janaka Y. Ruwanpura