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UID:submissions.supercomputing.org_SC24_sess530_drs117@linklings.com
SUMMARY:Scalable Planning Platform for Orchestration of Autonomous Systems
  Across Edge-Cloud Continuum
DESCRIPTION:Suman Raj (Indian Institute of Science, Bangalore)\n\nEdge acc
 elerators, such as NVIDIA Jetson, are enabling rapid inference of deep neu
 ral network (DNN) models and computer vision algorithms through low-end gr
 aphics processing unit (GPU) modules integrated with ARM-based processors.
  Their compact form factor allows integration with mobile platforms, such 
 as unmanned aerial vehicles (UAVs) with onboard cameras, facilitating real
 -time execution of diverse scientific workflows, from wildfire monitoring 
 to disaster management. The limited compute resources of mobile edge accel
 erators necessitate collaboration with remote servers in the cloud for pro
 cessing compute-intensive workloads. These remote servers can include high
 -performance computers, serverless cloud platforms offering Functions-as-a
 -Service (FaaS), or private GPU servers.\n\nIn my PhD dissertation, the wo
 rk proposes and implements a scalable platform designed to support multipl
 e mobile devices (UAVs) with edge accelerators, collaborating with remote 
 servers to provide real-time performance for a wide range of spatio-tempor
 al autonomous applications. The platform incorporates deadline-driven sche
 duling heuristics, strategies for preemptively dropping tasks based on the
 ir earliest deadlines, migration of tasks from edge to cloud, work stealin
 g from cloud back to edge, and adaptation to network variability, all whil
 e ensuring quality of service (QoS). Outputs from the servers can be used 
 by other mobile devices or the planning platform itself to orchestrate the
  next set of tasks in the workflow. Evaluations against baseline algorithm
 s and multiple workloads demonstrate that the proposed heuristics achieve 
 an optimal balance between task completion and accrued utility.\n\nRegistr
 ation Category: Tech Program Reg Pass\n\nSession Chair: Ian Lumsden (Unive
 rsity of Tennessee)\n\n
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