A context-aware multiple Blockchain architecture for managing low memory devices
Marco Fiore, Marina Mongiello, Giuseppe Acciani

TL;DR
This paper proposes a scalable, context-aware multi-Blockchain architecture that combines public and private blockchains to enable low-memory devices like sensors to participate efficiently.
Contribution
It introduces a novel multi-Blockchain system that balances memory and performance constraints for low-resource devices using a context-aware design.
Findings
Enables low-memory devices to join Blockchain networks effectively
Balances public and private Blockchain benefits for scalability
Improves data management for resource-constrained sensors
Abstract
Blockchain technology constitutes a paradigm shift in the way we conceive distributed architectures. A Blockchain system lets us build platforms where data are immutable and tamper-proof, with some constraints on the throughput and the amount of memory required to store the ledger. This paper aims to solve the issue of memory and performance requirements developing a multiple Blockchain architecture that mixes the benefits deriving from a public and a private Blockchain. This kind of approach enables small sensors - with memory and performance constraints - to join the network without worrying about the amount of data to store. The development is proposed following a context-aware approach, to make the architecture scalable and easy to use in different scenarios.
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Cloud Computing and Resource Management
