Abstract

Experimentation on distributed, heterogeneous computing environments—from edge devices to large-scale cloud platforms—demands orchestration technologies that are both flexible and extensible. Kiso is an open-source framework designed to provision resources and manage complex scientific workflows across the edge-to-cloud continuum. Its architecture unifies infrastructure provisioning, experiment configuration, and reproducible execution, enabling researchers to compose and monitor experiments that span geographically dispersed sites and variable network conditions. While Kiso was conceived for workflow management—coordinating data-intensive tasks and ensuring reproducibility across dynamic infrastructures—its modular design makes it equally a promising tool that provides reproducible environments for deploying and studying emerging agentic frameworks, where autonomous AI agents …

Date

2026

Authors

Rajiv Mayani, Karan Vahi, Mats Rynge, Komal Thareja, Xavier Casas-Moreno, Hongwei Jin, Anirban Mandal, Francesc Lordan, Krishnan Raghavan, Rosa M Badia, Ewa Deelman

Journal

Frontiers in Complex Systems

Volume

4

Pages

1800335

Publisher

Frontiers