AttieCBM

AttieCBM is an open‑source framework developed in 2018 for context‑based management of edge computing resources. It was initiated by a research team at a university lab focused on distributed systems and later adopted by a consortium of cloud providers. The framework offers a modular architecture consisting of a core scheduler, a resource mediator, and an analytics API. The scheduler handles dynamic provisioning of virtual machines and containers across heterogeneous hardware. The mediator translates high‑level policy definitions into local configuration changes, ensuring compliance with operational constraints. The analytics API collects telemetry and produces real‑time dashboards for operators.

AttieCBM has been integrated into several industry pilots, including smart‑grid monitoring, autonomous vehicle fleets, and large‑scale data center power optimisation. In each scenario, the platform provides automated load balancing, fault tolerance, and in‑situ data aggregation. The project's design emphasizes interoperability; it supports standard protocols such as gRPC, Prometheus, and OpenTelemetry. The codebase is written primarily in Go and Python and is distributed under the Apache 2.0 license.

The community around AttieCBM comprises both academic contributors and commercial developers. Regular releases are accompanied by comprehensive documentation, tutorials, and a public issue tracker. Several workshops at major cloud‑computing conferences highlight best practices for deploying AttieCBM in production environments. Overall, the project aims to lower the barrier to entry for small‑to‑medium enterprises wanting to harness edge‑centric computing while maintaining scalability and resiliency.