Symboleo2SC

Rasti, Aidin; Amyot, Daniel; Parvizimosaed, Alireza; Roveri, Marco; Logrippo, Luigi; Anda, Amal Ahmed; Mylopoulos, John

doi:10.1145/3550355.3552407

Cited by 8 publications

(1 citation statement)

References 26 publications

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“…[49] generates Go chaincode from domain-specific OWL ontologies and SWRL rules. [50] generates chaincode from an ontology-based model of legal contracts, which also covers domain data modeling. [48][49][50] discuss neither conflicts nor performance.…”

Section: ) Bpmnmentioning

confidence: 99%

Transaction Conflict Control in Hyperledger Fabric: A Taxonomy, Gaps, and Design for Conflict Prevention

Debreczeni,

Klenik,

Kocsis

2024

IEEE Access

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The execute-order-validate approach to blockchain consensus, most notably implemented by Hyperledger Fabric, facilitates highly scalable execution of smart contract -in Fabric terminology, ''chaincode'' -invocations in cross-organizational blockchains; at the expense of requiring multi-version concurrency control conflict handling during block validation. Consequently, the system-level goodput can be significantly lower than throughput. Although several solutions have been proposed for handling and avoiding conflicts in Hyperledger Fabric, a systematic and holistic approach is missing. We introduce the notion of conflict-controlled operation, propose a novel taxonomy of its means based on the codified principles of dependable computing and categorize the known approaches. Based on this taxonomy, we identified the critical gaps in the state-of-the-art. Design-time conflict prevention is one such gap, and we propose the application of a model-driven engineering process for this purpose. For the last, storage mapping stage of the process, we propose entity attribute partitioning for conflict prevention, describe a data mapperstyle chaincode layer and empirically evaluate our solution.

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Section: ) Bpmnmentioning

confidence: 99%