From the 1 of 7 linked papers with an AI index.
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SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management
Komal Thareja, Krishnan Raghavan, Hamza Safri +2
SWARM+ is a decentralized, multi‑agent system that uses hierarchical consensus to place scientific workflow jobs across heterogeneous, geo‑distributed resources, improving scalabil…
From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
Komal Thareja, Anirban Mandal, Ewa Deelman
Scientists increasingly rely on sensor-based data, yet transforming raw streams into insights across the edge-to-cloud continuum remains difficult. Provisioning heterogeneous infra…
(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications
Komal Thareja, Anirban Mandal, Ewa Deelman
Scientists increasingly rely on sensor-based data; however transforming raw streams into insights across the edge-to-cloud continuum remains difficult due to the breadth of experti…
AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios
Suman Raj, Radhika Mittal, Rajiv Mayani +5
Drone fleets equipped with onboard cameras, computer vision, and Deep Neural Network (DNN) models present a powerful paradigm for real-time spatio-temporal decision-making. In wild…
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
Prachi Jadhav, Hongwei Jin, Ewa Deelman +1
High-Performance Computing (HPC) job scheduling involves balancing conflicting objectives such as minimizing makespan, reducing wait times, optimizing resource use, and ensuring fa…
Advancing Anomaly Detection in Computational Workflows with Active Learning
Krishnan Raghavan, George Papadimitriou, Hongwei Jin +4
A computational workflow, also known as workflow, consists of tasks that are executed in a certain order to attain a specific computational campaign. Computational workflows are co…