Forschungsbericht 2023

Data Engineering E-19

Leitung: Schulte, Stefan
Oberingenieur: Schallmoser, Dominik
Gründungsdatum: 1.9.2021

Institut auf TORE
Institutswebsite

The Institute for Data Engineering at TU Hamburg conducts research and teaching at the intersection of data engineering and distributed systems, with a particular focus on Distributed Stream Processing, Federated Learning / Artificial Intelligence at the Edge, Blockchain Technologies, and the Internet of Things.

Publikationen

• Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review - Journal Article
  Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan
  ACM Computing Surveys 56 (6): 142 (2023)
  Publisher DOI
  
  
• A framework for asynchronous cross-blockchain smart contract calls - Conference Paper
  Sober, Michael Peter; Scaffino, Giulia; Sigwart, Marten; Frauenthaler, Philip; Levonyak, Markus; Schulte, Stefan
  5th International Conference on Blockchain Computing and Applications (BCCA 2023)
  Publisher DOI
  
  
• A Benchmark for Different Implementations of Zero-Knowledge Proof Systems - Conference Paper
  Kobelt, Max; Sober, Michael Peter; Schulte, Stefan
  IEEE International Conference on Blockchain (Blockchain 2023)
  Publisher DOI
  
  
• A blockchain-based IoT data marketplace - Journal Article
  Sober, Michael Peter; Scaffino, Giulia; Schulte, Stefan; Kanhere, Salil
  Cluster Computing 26 (6): 3523-3545 (2023-12)
  Open Access | Publisher DOI
  
  
• Horizontal scaling of transaction-creating machines for blockchains - Conference Paper
  Delzer, Ole; Weber, Ingo; Hobeck, Richard; Schulte, Stefan
  European Conference on Service-Oriented and Cloud Computing (ESOCC 2023)
  Publisher DOI
  
  
• Information-theoretic and algorithmic aspects of parallel and distributed reconstruction from pooled data - Journal Article
  Gebhard, Oliver; Hahn-Klimroth, Max; Kaaser, Dominik; Loick, Philipp
  Journal of Parallel and Distributed Computing 180: 104718 (2023-10)
  Publisher DOI
  
  
• Building a cross-chain identity : a self-sovereign identity-based framework - Conference Paper
  Zecchini, Marco; Sober, Michael Peter; Schulte, Stefan; Vitaletti, Andrea
  5th IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS 2023)
  Publisher DOI
  
  
• A Framework for Enabling Cloud Services to Leverage Energy Data - Conference Paper
  Karagiannis, Vasileios; Kashyap, Shievam; Zechner, Nikolas; Hödl, Oliver; Hartner, Georg; Llorca, Manuel; Jamasb, Tooraj; Grünberger, Stefan; Kurz, Marc; Schaffer, Christoph; Schulte, Stefan
  IEEE International Conference on Cloud Engineering (IC2E 2023)
  Publisher DOI
  
  
• Model Checking of Hyperledger Fabric Smart Contracts - Conference Paper
  Ebrahimi, Elmira; Khamespanah, Ehsan; Sirjani, Marjan; Mohammadi, Siamak
  28th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
  Publisher DOI
  
  
• Machine learning-based positioning using multivariate time series classification for factory environments - Preprint
  Manikku Badu, Nisal Hemadasa; Venzke, Marcus; Turau, Volker; Huang, Yanqiu
  arXiv: 2308.11670 (2023)
  Open Access | Publisher DOI
  
  
• Transactional cross-chain smart contract invocations - Journal Article
  Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan; Yussupov, Vladimir
  ACM Distributed Ledger Technologies (in Press): (2023-08)
  Publisher DOI
  
  
• Inference of a rumor's source in the independent cascade model - Conference Paper
  Berenbrink, Petra; Hahn-Klimroth, Max; Kaaser, Dominik; Krieg, Lena; Rau, Malin
  39th Conference on Uncertainty in Artificial Intelligence (UAI 2023). - Seite 152-162
  
  
• Decentralized cross-blockchain asset transfers with transfer confirmation - Journal Article
  Sober, Michael Peter; Sigwart, Marten; Frauenthaler, Philipp; Spanring, Christof; Kobelt, Max; Schulte, Stefan
  Cluster Computing 26 (4): 2129-2146 (2023-08)
  Open Access | Publisher DOI
  
  
• On reconstructing the patient zero from sensor measurements - Conference Paper
  Hahn-Klimroth, Maximilian Grischa; Kaaser, Dominik
  43rd IEEE International Conference on Distributed Computing Systems (ICDCS 2023)
  Publisher DOI
  
  
• Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes - Conference Paper
  Keusch, Alexander; Hiessl, Thomas; Joksch, Martin; Sundermann, Axel; Schall, Daniel; Schulte, Stefan
  21st IEEE International Conference on Industrial Informatics (INDIN 2023)
  Publisher DOI
  
  
• Lifecycle Management of Federated Learning Artifacts in Industrial Applications - Conference Paper
  Hiessl, Thomas; Lakani, Safoura Rezapour; Ungersboeck, Michael; Kemnitz, Jana; Schall, Daniel; Schulte, Stefan
  7th IEEE International Conference on Fog and Edge Computing (ICFEC 2023)
  Publisher DOI
  
  
• Efficient approximate recovery from pooled data using doubly regular pooling schemes - Preprint
  Hahn-Klimroth, Max; Kaaser, Dominik; Rau, Malin
  arXiv: 2303.00043 (2023)
  Publisher DOI
  
  
• Distributed key generation with smart contracts using zk-SNARKs - Conference Paper
  Sober, Michael Peter; Kobelt, Max; Scaffino, Giulia; Kaaser, Dominik; Schulte, Stefan
  38th ACM/SIGAPP Symposium On Applied Computing (2023)
  
  
• Dynamic averaging load balancing on arbitrary graphs - Conference Paper
  Berenbrink, Petra; Hintze, Lukas; Hosseinpour, Hamed; Kaaser, Dominik; Rau, Malin
  50th International Colloquium on Automata, Languages, and Programming (ICALP 2023)
  Publisher DOI
  
  
• Fast convergence of k-opinion undecided state dynamics in the population protocol model - Conference Paper
  Amir, Talley; Aspnes, James; Berenbrink, Petra; Biermeier, Felix; Hahn, Christopher; Kaaser, Dominik; Lazarsfeld, John
  42nd ACM Symposium on Principles of Distributed Computing (PODC 2023)
  Publisher DOI
  
  
• Cost-efficient auto-scaling of container-based elastic processes - Journal Article
  Sheganaku, Gerta; Schulte, Stefan; Waibel, Philipp; Weber, Ingo
  Future Generation Computer Systems 138: 296-312 (2023-01)
  Publisher DOI
  
  

Projekte

• SFB 1615 - Zentralprojekt Z-INF: Verarbeitung von großen Datenmengen für SMARTe Reaktoren
  Deutsche Forschungsgemeinschaft (DFG); Laufzeit 2023-2027
  Projektleitung: Schulte, Stefan
  Mitarbeitende: Schallmoser, Dominik
  
  
• CDL-BOT - Christian Doppler Labor für Blockchaintechnologien für das Internet der Dinge
  Christian Doppler Forschungsgesellschaft; Laufzeit 2020-2027
  Projektleitung: Schulte, Stefan
  Mitarbeitende: Sober, Michael Peter