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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.DC2026

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…

cs.DC2026

AI-Assisted Computational Reproducibility on the FABRIC Testbed

Komal Thareja, Paul Ruth, Berent Aldikacti +1

Computational reproducibility remains difficult despite being central to scientific research. In this paper, we show how the international FABRIC testbed, combined with large langu…

cs.SE2026

From Specification to Execution: AI Assisted Scientific Workflow Management

Komal Thareja, Hamza Safri, Rajiv Mayani +2

Scientific workflow management systems (WMS) support scalable and reproducible execution of complex pipelines, but workflow design, implementation, and debugging remain largely man…

cs.DC2026

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…

cs.DC2026

(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…