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Lightweight Computation for Networks at the Edge

LightKone created a scientifically grounded model for general-purpose computing on loosely coupled edge networks. By combining conflict-free replicated data types (CRDTs) with gossip-based protocols, the project enabled reliable computation directly on IoT and mobile nodes instead of relying on distant clouds. Key outcomes include an edge-computing reference architecture and the industrial "NoStop RFID" demonstrator, which updated RFID tags on moving goods without interrupting the production line.

In this industrial pilot, Peer Stritzinger GmbH provided GRiSP boards and led the deployment of a distributed in-memory cache. This system allowed continuous, real-time tag updates during movement, without central coordination. The solution combined Erlang-based CRDTs with fault-tolerant edge logic and was adopted by four partners in the consortium.

The LightKone Reference Architecture is described in detail in the LiRA white paper.

LightKone project logo featuring the project name and lightweight computation branding
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European Commission Horizon Europe programme logo

Funded by the European Union's Horizon Europe

programme under grant agreement No 732505

  • Project Summary

  • Stritzinger GmbH Role

    • Project Partner
    • Use-Case Provider: NoStop RFID industrial pilot
    • Task Leader: Edge CRDT library integration

Project Consortium

The LightKone consortium brought together eleven research and industry partners to rethink distributed edge computing. Participants included Université catholique de Louvain (coordinator), INRIA, Sorbonne Université, INESC TEC, NOVA ID FCT, Technische Universität Kaiserslautern (now part of RPTU), Universitat Politècnica de Catalunya, Scality, Gluk Advice BV, Peer Stritzinger GmbH, and Fundació Guifi.net. Together they tested CRDTs, gossip protocols, and in-memory caching across real-world use cases in logistics, agriculture, and community networks.

Technische Universität Kaiserslautern became part of RPTU (Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau) in 2023.

Fundació Guifi.net consortium partner logo
Gluk Advice BV consortium partner logo
INESC TEC consortium partner logo
INRIA consortium partner logo
NOVA ID FCT (Universidade NOVA de Lisboa) consortium partner logo
Scality SAS consortium partner logo
Sorbonne Université consortium partner logo
Technische Universität Kaiserslautern (TUK) consortium partner logo
Universitat Politècnica de Catalunya (UPC) consortium partner logo
Université catholique de Louvain (UCLouvain) consortium partner logo