Distributed information systems often use the blockchain to enable verifiable data exchange, though its full functionality, especially persistent block history, is often unnecessary. This paper investigates lightweight, event-driven communication protocols for large-scale IS networks requiring predictable update frequency and proposes an optimized approach. The use-case scenario for this is based on interconnected identity providers. Building on gossip-based and peer-to-peer techniques, we define and evaluate four variants, including neighbor-based and fallback strategies, without relying on a full blockchain infrastructure. A custom simulation framework was developed to analyze message propagation, redundancy, delay, and network load across networks of up to 10,000 nodes. Results show that targeted event-driven protocols can significantly reduce overhead while maintaining high reliability, offering a scalable alternative for decentralized or distributed information system communication.
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Distributed information systems often use the blockchain to enable verifiable data exchange, though its full functionality, especially persistent block history, is often unnecessary. This paper investigates lightweight, event-driven communication protocols for large-scale IS networks requiring predictable update frequency and proposes an optimized approach. The use-case scenario for this is based on interconnected identity providers. Building on gossip-based and peer-to-peer techniques, we defin...
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