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Optimized Execution of Business Processes on Blockchain (1612.03152v1)

Published 9 Dec 2016 in cs.SE

Abstract: Blockchain technology enables the execution of collaborative business processes involving untrusted parties without requiring a central authority. Specifically, a process model comprising tasks performed by multiple parties can be coordinated via smart contracts operating on the blockchain. The consensus mechanism governing the blockchain thereby guarantees that the process model is followed by each party. However, the cost required for blockchain use is highly dependent on the volume of data recorded and the frequency of data updates by smart contracts. This paper proposes an optimized method for executing business processes on top of commodity blockchain technology. The paper presents a method for compiling a process model into a smart contract that encodes the preconditions for executing each task in the process using a space-optimized data structure. The method is empirically compared to a previously proposed baseline by replaying execution logs, including one from a real-life business process, and measuring resource consumption.

Citations (181)

Summary

  • The paper proposes a novel method to optimize business process execution on blockchain by converting BPMN models to minimized Petri nets and then to cost-effective Solidity smart contracts.
  • Experimental evaluation shows the proposed optimization significantly reduces gas costs and improves transaction throughput compared to previous baseline approaches.
  • This optimized approach enhances the viability of using blockchain for collaborative business process management by lowering operational costs and improving scalability.

Optimized Execution of Business Processes on Blockchain: An Analytical Synopsis

The paper "Optimized Execution of Business Processes on Blockchain," authored by Luciano Garcia-BaƱuelos, Alexander Ponomarev, Marlon Dumas, and Ingo Weber, proposes a novel method for executing collaborative business processes using blockchain technology. The research focuses on optimizing the execution of business processes to reduce resource consumption, particularly in terms of gas costs on Ethereum or similar blockchain platforms.

Conceptual Framework

Blockchain technology offers the capability to execute processes among untrusted parties without a central authority, leveraging smart contracts. However, the Achilles' heel of blockchain applications in this domain lies in the significant costs associated with data storage and smart contract execution. This paper's central thesis is the conversion and optimization of business process models, designed in Business Process Model and Notation (BPMN), into Solidity smart contracts. The proposed methodology aims to mitigate the high gas consumption intrinsic to frequent data recording and updates by smart contracts.

Methodology

The authors introduce a pipeline for transforming a BPMN model into a smart contract structure that is cost-effective to execute on a blockchain. This process includes translational steps involving the transformation of BPMN models to minimized Petri nets, which are then compiled into Solidity smart contracts. Data structures are optimized for space efficiency, allowing for streamlined execution. Specifically, the conversion involves reducing the BPMN to a Petri net and further simplifying the net while preserving important data dependencies, ultimately minimizing the computational complexity and data footprint required for process execution.

Experimental Evaluation

The efficacy and efficiency of the proposed optimization method were evaluated against a baseline approach, previously proposed in the authors' prior work. The evaluation involved replaying several execution logs, including a substantial real-world log with over 5,000 traces. The empirical results strongly indicate a reduction in gas costs and an improvement in throughput, underscoring the scalability benefits of the optimized method. The experimental setup demonstrates that the optimized contracts facilitate higher transaction throughput and reduced resource consumption compared to the baseline.

Implications and Future Impact

This advancement has important implications for the application of blockchain in business process management (BPM). By significantly reducing operational costs, the adoption of blockchain for collaborative BPM tasks becomes more viable, particularly in industries with stringent decentralization requirements. The nuanced approach of integrating Petri nets into smart contract logic allows for greater predictability and reliability in process execution on decentralized platforms.

Theoretically, this research opens new avenues for deeper integration of blockchain technologies into traditional BPM systems, potentially leading to a paradigm shift in how business processes are automated and executed in decentralized environments. Future research can extend the work by incorporating more complex BPMN elements and enhancing the method to handle more sophisticated use cases, such as those involving dynamic party participation and more intricate data synchronization challenges.

In conclusion, this paper makes a robust contribution to optimizing the execution of business processes on blockchain, striking a balance between operational efficiency and the strategic advantages of decentralization. As the blockchain ecosystem continues to evolve, such optimized execution methods will be pivotal in broadening the application spectrum of smart contracts within enterprise settings.