Lightweight Blockchain Processing. Case Study: Scanned Document Tracking on Tezos Blockchain

【Author】 Allouche, Mohamed; Frikha, Tarek; Mitrea, Mihai; Memmi, Gerard; Chaabane, Faten

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【Abstract】Featured Application This paper establishes the proof-of-concepts for using on-chain/off-chain load balancing as an enabler for Blockchain deployment on lightweight computing resources. In this way, a Block-chain of an arbitrarily large number of nodes can be deployed over any combination of com-puting resources, from cloud servers and PCs to Raspberry Pi 3. While the illustrations corre-spond to visual content tracking (fingerprinting), the advanced on-chain/off-chain load bal-ancing approach can potentially serve any other multimedia application (of comparable com-plexity) that requires synergies with Blockchain solutions. To bridge the current gap between the Blockchain expectancies and their intensive computation constraints, the present paper advances a lightweight processing solution, based on a load-balancing architecture, compatible with the lightweight/embedding processing paradigms. In this way, the execution of complex operations is securely delegated to an off-chain general-purpose computing machine while the intimate Blockchain operations are kept on-chain. The illustrations correspond to an on-chain Tezos configuration and to a multiprocessor ARM embedded platform (integrated into a Raspberry Pi). The performances are assessed in terms of security, execution time, and CPU consumption when achieving a visual document fingerprint task. It is thus demonstrated that the advanced solution makes it possible for a computing intensive application to be deployed under severely constrained computation and memory resources, as set by a Raspberry Pi 3. The experimental results show that up to nine Tezos nodes can be deployed on a single Raspberry Pi 3 and that the limitation is not derived from the memory but from the computation resources. The execution time with a limited number of fingerprints is 40% higher than using a classical PC solution (value computed with 95% relative error lower than 5%).

【Keywords】Blockchain; Tezos; on-chain; off-chain load balancing; multiprocessor architecture

【发表时间】2021 AUG

【收录时间】2022-01-02

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