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AAAI
2000
13 years 9 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
INFOCOM
2010
IEEE
13 years 6 months ago
Analyzing the Performance of Greedy Maximal Scheduling via Local Pooling and Graph Theory
—Efficient operation of wireless networks and switches requires using simple (and in some cases distributed) scheduling algorithms. In general, simple greedy algorithms (known a...
Berk Birand, Maria Chudnovsky, Bernard Ries, Paul ...
DAC
2005
ACM
14 years 9 months ago
Memory access optimization through combined code scheduling, memory allocation, and array binding in embedded system design
In many of embedded systems, particularly for those with high data computations, the delay of memory access is one of the major bottlenecks in the system's performance. It ha...
Jungeun Kim, Taewhan Kim
TSP
2012
12 years 3 months ago
On the Rate Gap Between Multi- and Single-Cell Processing Under Opportunistic Scheduling
—Base station (BS) coordination is a key technique to handle intercell interference (ICI) in cellular networks. Nevertheless, recent work on scheduling indicates that the value o...
Hans Jørgen Bang, David Gesbert, Pål ...
RTSS
2007
IEEE
14 years 2 months ago
Energy-Aware Scheduling of Real-Time Tasks in Wireless Networked Embedded Systems
Recent technological advances have opened up several distributed real-time applications involving battery-driven embedded devices with local processing and wireless communication ...
G. Sudha Anil Kumar, G. Manimaran