Abstract This paper presents a simulation-based methodology to evaluate the performance of a privacy-compliant edge-blockchain architecture for smart city environments. The proposed model combines edge computing with a private, permissioned blockchain to ensure low-latency processing, secure data management, and verifiable transactions. Using a discrete-event simulation framework, we analyze the behavior of the system under realistic workloads and time-varying traffic conditions. The model captures edge operations, including preprocessing and cryptographic tasks, as well as blockchain validation using Proof of Stake consensus. Several experiments explore saturation thresholds, resource utilization, and latency dynamics, under both synthetic and realistic traffic profiles. Results reveal how architectural bottlenecks shift depending on resource allocation and input rate, and demonstrate the importance of balanced dimensioning between edge and blockchain layers. © ECMS Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita (Editors) 2025.
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{"key"=>"Campanile2025620", "type"=>"Conference paper", "bibtex"=>"@conference{Campanile2025620,\n author = {Campanile, Lelio and Iacono, Mauro and Mastroianni, Michele and Riccio, Christian},\n title = {Performance Evaluation of an Edge-Blockchain Architecture for Smart City},\n year = {2025},\n journal = {Proceedings - European Council for Modelling and Simulation, ECMS},\n volume = {2025-June},\n pages = {620 – 627},\n doi = {10.7148/2025-0620},\n type = {Conference paper}\n}\n", "author"=>"Campanile, Lelio and Iacono, Mauro and Mastroianni, Michele and Riccio, Christian", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Mastroianni", "prefix"=>"", "suffix"=>""}, {"first"=>"Christian", "last"=>"Riccio", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Mauro", "author_1_last"=>"Iacono", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Michele", "author_2_last"=>"Mastroianni", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Christian", "author_3_last"=>"Riccio", "author_3_prefix"=>"", "author_3_suffix"=>"", "title"=>"Performance Evaluation of an Edge-Blockchain Architecture for Smart City", "year"=>"2025", "journal"=>"Proceedings - European Council for Modelling and Simulation, ECMS", "volume"=>"2025-June", "pages"=>"620 – 627", "doi"=>"10.7148/2025-0620", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010618036&doi=10.7148%2f2025-0620&partnerID=40&md5=b61ba271a16fdea2b217a031fcf94089", "abstract"=>"This paper presents a simulation-based methodology to evaluate the performance of a privacy-compliant edge-blockchain architecture for smart city environments. The proposed model combines edge computing with a private, permissioned blockchain to ensure low-latency processing, secure data management, and verifiable transactions. Using a discrete-event simulation framework, we analyze the behavior of the system under realistic workloads and time-varying traffic conditions. The model captures edge operations, including preprocessing and cryptographic tasks, as well as blockchain validation using Proof of Stake consensus. Several experiments explore saturation thresholds, resource utilization, and latency dynamics, under both synthetic and realistic traffic profiles. Results reveal how architectural bottlenecks shift depending on resource allocation and input rate, and demonstrate the importance of balanced dimensioning between edge and blockchain layers. © ECMS Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita (Editors) 2025.", "author_keywords"=>"Blockchain; IoT; Simulation; Smart Cities", "keywords"=>"Architecture; Cryptography; Data handling; Discrete event simulation; Edge computing; Information management; Internet of things; Smart city; Block-chain; Discrete-event simulations; Edge computing; IoT; Low latency; Performance; Performances evaluation; Secure data managements; Simulation; Simulation framework; Blockchain", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 0"}