Open Federated Playgrounds for AI-inspired SmartX Services
Expanding federated SmartX playgrounds for collaborative AI-based service development
Recruit and train ambassadors, players, and students across member sites to foster collaborative research and skill development.
Deploy and maintain SmartX Micro-Box clusters and analytics tools across federated research sites.
Develop and test innovative AI-based SmartX services across federated towers and research platforms.
Investigate emerging technologies and enhance service capabilities for cloud-native experimentation.
Building federated research infrastructure across Asia-Pacific
Systematic approach to federated playground development
Held in June 2021 with 45+ members featuring research presentations, technology demonstrations, and collaborative planning on SmartX services and AI strategies.
Edge clusters deployed with Kubernetes across GIST, University of Malaya, and Chulalongkorn University with federated Data Lake support.
Regular technical meetings with players, ambassadors, and students to develop use cases, troubleshoot infrastructure, and document Kubernetes orchestration.
Teams created AI models for network flow prediction, SDN route validation (RPKI), and containerized visualization services using open-source frameworks.
Developed unified web portal using Kubernetes backend to manage containerized workloads across federated clusters with OpenID authentication.
AI-inspired applications developed and tested across the federated playground
AI models for predicting network traffic patterns and optimizing data flow across federated infrastructure.
Software-Defined Exchange (SDX) route validation using Resource Public Key Infrastructure for enhanced security.
Data analytics platform for COVID-19 research and visualization using containerized microservices.
Border Gateway Protocol routing optimization and configuration management across network infrastructure.
Advanced analytics platform for processing large-scale research data across federated sites.
Interactive visualization tools for network monitoring and research data analysis using container orchestration.
Measurable achievements in federated research infrastructure
Distributed Kubernetes-based SmartX clusters established in Korea, Malaysia, and Thailand, supporting real-time services and serving as templates for future expansions.
Ambassadors, players, and students gained skills in federated orchestration, AI service deployment, and SmartX infrastructure management over nine months.
Federated portal built to deploy containerized applications across sites, integrating Kubernetes backend with frontend authentication and GitHub-sourced code.
AI applications including network flow prediction, SDX RPKI validation, COVID-19 analytics, and BGP route configuration developed and tested.
Technical code, documentation, and research outputs shared on GitHub, with multiple papers submitted to conferences promoting OF@TEIN++ results.
Overcoming obstacles in federated infrastructure development
Planned hardware deployments and physical workshops were delayed or converted to virtual format, limiting hands-on engagement and slowing setup timelines.
Integrating diverse clusters using Kubernetes and managing namespace federation required high technical effort and was challenging for less experienced teams.
Some NREN participants had minimal engagement due to internal resource constraints, local policy hurdles, or limited technical experience.
Simultaneous software and infrastructure contributions by distributed teams posed versioning, documentation, and synchronization challenges during deployment.
Expanding impact and enhancing capabilities
Maintain ambassador and player meetings to manage continued research, infrastructure use, and coordination beyond the project timeline.
Propose new deployments in Bhutan, Vietnam, and the Philippines to broaden coverage and interconnect SmartX testbeds regionally.
Enhance AI-based analytics and SmartX visualizations for network management, predictive traffic monitoring, and SDN experimentation.
Integrate SmartX infrastructure more closely with IoTCloudServe's services to create comprehensive cloud-native testbeds for R&E collaboration.
Contributing to global innovation and partnership objectives
Enhancing research education through federated infrastructure
Building resilient infrastructure and promoting AI innovation
Strengthening global partnerships for technological advancement