Search Results - bhaskar+krishnamachari

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2022-061 - GCNScheduler: Complex Task Scheduling with Graph Convolutional Networks

Distributed computing Edge-cloud processing Astronomical observation processing Abstract USC researchers present GCNScheduler, a scheduler employing graph convolutional networks (GCNs) that can rapidly and efficiently schedule tasks of complex applications for a given objective. The technique integrates an inter-task data dependency structure with...

Published: 2/3/2026 Inventor(s): Bhaskar Krishnamachari, Mehrdad Kiamari
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12-708 - Improved Network Routing Scheme

Improved performance in terms of throughput, delay and energy Robust and distributed Does not require any prior knowledge of dynamic network load conditions, node locations, or node mobility Abstract In backpressure scheduling and routing the packets are preferentially transmitted over links with high queue differentials which offers...