CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

López‐Pintado, Orlenys; García‐Bañuelos, Luciano; Dumas, Marlon; Weber, Ingo; Ponomarev, Alex

doi:10.48550/arxiv.1808.03517

“…Further, there are numerous gas-fee reduction and vulnerability detection strategies for Ethereum smart contracts in the literature [54] which translate to our recommendations at the data level. Tools like Lorikeet and Caterpiller automate the conversion and execution of process models as Ethereum smart contracts, which would make it easier to implement the user-level optimizations that we recommend [43,69].…”

Section: Lessons Learned and Limitationsmentioning

confidence: 99%

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

Chacko¹,

Mayer²,

Jacobsen³

2023

Preprint

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Aside from the conception of new blockchain architectures, existing blockchain optimizations in the literature primarily focus on system or data-oriented optimizations within prevailing blockchains. However, since blockchains handle multiple aspects ranging from organizational governance to smart contract design, a holistic approach that encompasses all the different layers of a given blockchain system is required to ensure that all optimization opportunities are taken into consideration. In this vein, we define a multi-level optimization recommendation approach that identifies optimization opportunities within a blockchain at the system, data, and user level. Multiple metrics and attributes are derived from a blockchain log and nine optimization recommendations are formalized. We implement an automated optimization recommendation tool, BlockOptR, based on these concepts. The system is extensively evaluated with a wide range of workloads covering multiple real-world scenarios. After implementing the recommended optimizations, we observe an average of 20% improvement in the success rate of transactions and an average of 40% improvement in latency.

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Long-Term Blockchain Transactions Spanning Multiplicity of Smart Contract Methods

Liu,

Bodorik,

Jutla

2023

Communications in Computer and Information Science

0

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How To Optimize My Blockchain? A Multi-Level Recommendation Approach

Chacko

¹

,

Mayer

²

,

Jacobsen

³

2023

Proc. ACM Manag. Data

View full text Add to dashboard Cite

Aside from the conception of new blockchain architectures, existing blockchain optimizations in the literature primarily focus on system or data-oriented optimizations within prevailing blockchains. However, since blockchains handle multiple aspects ranging from organizational governance to smart contract design, a holistic approach that encompasses all the different layers of a given blockchain system is required to ensure that all optimization opportunities are taken into consideration. In this vein, we define a multi-level optimization recommendation approach that identifies optimization opportunities within a blockchain at the system, data, and user level. Multiple metrics and attributes are derived from a blockchain log and nine optimization recommendations are formalized. We implement an automated optimization recommendation tool, BlockOptR, based on these concepts. The system is extensively evaluated with a wide range of workloads covering multiple real-world scenarios. After implementing the recommended optimizations, we observe an average of 20% improvement in the success rate of transactions and an average of 40% improvement in latency.

show abstract

CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

Cited by 4 publications

References 0 publications

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

Long-Term Blockchain Transactions Spanning Multiplicity of Smart Contract Methods

How To Optimize My Blockchain? A Multi-Level Recommendation Approach

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