VLDB 2026 Research / reviewers in the wild / expert
Calvary Fisher
dblp:350/4571
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 since 2021Security and privacy · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | An Analytical Performance Evaluation on Sui Move Object-Centric Models
Nahid Ebrahimi Majd, Andres Hinojosa, Calvary Fisher, Fernando Landeros, Foteini Baldimtsi |
ICBC | 3 |
| 2025 | A Study on The Performances of Sui Move Object-Centric ModelsabstractThe Sui Move has emerged as a next-generation smart contract language solution, emphasizing scalability, low latency, security, and robustness. Sui Move is built around a unique and innovative object-centric model, which introduces a new paradigm of flexibility in asset management. The Sui Move object-centric data storage model is particularly advantageous for managing complex assets, offering a more efficient and secure way to interact with other on-chain objects. Due to its high-performance and scalable architecture, Sui has emerged as one of the fastest growing Layer 1 blockchains in industry, particularly in the DeFi and gaming sectors. In this paper, we present the first analytical study on the performances of Sui object-centric models. We will describe the Sui gas pricing mechanism. We will discuss the rich Sui Move object-centric models, including wrapped objects, dynamic fields, dynamic object fields, and dynamic collections. We will comprehensively study the fees, object hierarchies, and object accessibilities in these models in both small scale and large scale. We will also provide sample smart contract code to implement these models. This is the first paper that provides a comprehensive analysis on Sui Move object-centric models and recommendations for Sui developers to develop efficient and cost-aware smart contracts. Our results indicated that developers could save significant fees by selecting an appropriate model for their smart contracts. Nahid Ebrahimi Majd, Andres Hinojosa, Calvary Fisher, Fernando Landeros, Foteini Baldimtsi |
SERA | 3 |