activity
20112026
most citedBLOCKBENCH: A Framework for Analyzing Private Blockchains

211 citations · 435 across the 25 of their papers we have counts for

collaborators

26 papers

cs.CR2026

MESS: Fast and Private Semantic Search on Multi-Graph HNSW

Haoyu Cui, Zengpeng Li, Tien Tuan Anh Dinh +1

Semantic search systems map data to a high-dimensional vector space and support retrieval of similar data via approximate nearest neighbor search. When the system is hosted by an u…

cs.DB2025★ 5 cited

HAKES: Scalable Vector Database for Embedding Search Service

Guoyu Hu, Shaofeng Cai, Tien Tuan Anh Dinh +4

Modern deep learning models capture the semantics of complex data by transforming them into high-dimensional embedding vectors. Emerging applications, such as retrieval-augmented g…

cs.DB2025

Modeling Concurrency Control as a Learnable Function

Hexiang Pan, Shaofeng Cai, Tien Tuan Anh Dinh +4

Concurrency control (CC) algorithms are important in modern transactional databases, as they enable high performance by executing transactions concurrently while ensuring correctne…

cs.CR2023

PIEChain -- A Practical Blockchain Interoperability Framework

Daniël Reijsbergen, Aung Maw, Jingchi Zhang +2

A plethora of different blockchain platforms have emerged in recent years, but many of them operate in silos. As such, there is a need for reliable cross-chain communication to ena…

cs.CR2023★ 1 cited

CroCoDai: A Stablecoin for Cross-Chain Commerce

Daniël Reijsbergen, Bretislav Hajek, Tien Tuan Anh Dinh +3

Decentralized Finance (DeFi), in which digital assets are exchanged without trusted intermediaries, has grown rapidly in value in recent years. The global DeFi ecosystem is fragmen…

cs.CR2022★ 2 cited

TAP: Transparent and Privacy-Preserving Data Services

Daniel Reijsbergen, Aung Maw, Zheng Yang +2

Users today expect more security from services that handle their data. In addition to traditional data privacy and integrity requirements, they expect transparency, i.e., that the…

cs.DB2022★ 2 cited

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency

Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie +4

Verifiable ledger databases protect data history against malicious tampering. Existing systems, such as blockchains and certificate transparency, are based on transparency logs --…

cs.DC2022★ 4 cited

Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge

Dumitrel Loghin, Tien Tuan Anh Dinh, Aung Maw +3

While state-of-the-art permissioned blockchains can achieve thousands of transactions per second on commodity hardware with x86/64 architecture, their performance when running on d…

cs.CR2022

Protecting the Integrity of IoT Sensor Data and Firmware With A Feather-Light Blockchain Infrastructure

Daniel Reijsbergen, Aung Maw, Sarad Venugopalan +3

Smart cities deploy large numbers of sensors and collect a tremendous amount of data from them. For example, Advanced Metering Infrastructures (AMIs), which consist of physical met…

cs.CR2022

Securing Smart Grids Through an Incentive Mechanism for Blockchain-Based Data Sharing

Daniel Reijsbergen, Aung Maw, Tien Tuan Anh Dinh +2

Smart grids leverage the data collected from smart meters to make important operational decisions. However, they are vulnerable to False Data Injection (FDI) attacks in which an at…

cs.DB2021★ 19 cited

Understanding the Scalability of Hyperledger Fabric

Minh Quang Nguyen, Dumitrel Loghin, Tien Tuan Anh Dinh

The rapid growth of blockchain systems leads to increasing interest in understanding and comparing blockchain performance at scale. In this paper, we focus on analyzing the perform…

cs.CR2021

Transparent Electricity Pricing with Privacy

Daniel Reijsbergen, Zheng Yang, Aung Maw +2

Smart grids leverage data from smart meters to improve operations management and to achieve cost reductions. The fine-grained meter data also enable pricing schemes that simultaneo…

cs.DC2021★ 27 cited

Serverless Data Science -- Are We There Yet? A Case Study of Model Serving

Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu +3

Machine learning (ML) is an important part of modern data science applications. Data scientists today have to manage the end-to-end ML life cycle that includes both model training…

cs.DB2020

ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications

Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh +8

Data collaboration activities typically require systematic or protocol-based coordination to be scalable. Git, an effective enabler for collaborative coding, has been attested for…

cs.DB2019★ 3 cited

A Blueprint for Interoperable Blockchains

Tien Tuan Anh Dinh, Anwitaman Datta, Beng Chin Ooi

Research in blockchain systems has mainly focused on improving security and bridging the performance gaps between blockchains and databases. Despite many promising results, we obse…

cs.DB2019★ 6 cited

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin +4

Blockchain has come a long way: a system that was initially proposed specifically for cryptocurrencies is now being adapted and adopted as a general-purpose transactional system. A…

cs.NI2019★ 2 cited

The Disruptions of 5G on Data-driven Technologies and Applications

Dumitrel Loghin, Shaofeng Cai, Gang Chen +12

With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze…

cs.DC2019★ 9 cited

Blockchain Goes Green? An Analysis of Blockchain on Low-Power Nodes

Dumitrel Loghin, Gang Chen, Tien Tuan Anh Dinh +2

Motivated by the massive energy usage of blockchain, on the one hand, and by significant performance improvements in low-power, wimpy systems, on the other hand, we perform an in-d…

cs.DC2018★ 3 cited

Towards Scaling Blockchain Systems via Sharding

Hung Dang, Tien Tuan Anh Dinh, Dumitrel Loghin +3

Existing blockchain systems scale poorly because of their distributed consensus protocols. Current attempts at improving blockchain scalability are limited to cryptocurrency. Scali…

cs.DB2018★ 24 cited

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications

Sheng Wang, Tien Tuan Anh Dinh, Qian Lin +7

Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse range of applications. However, new classes of applications have emerged, e.g.…

cs.DB2017★ 111 cited

Untangling Blockchain: A Data Processing View of Blockchain Systems

Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang +3

Blockchain technologies are gaining massive momentum in the last few years. Blockchains are distributed ledgers that enable parties who do not fully trust each other to maintain a…

cs.DB2017★ 211 cited

BLOCKBENCH: A Framework for Analyzing Private Blockchains

Tien Tuan Anh Dinh, Ji Wang, Gang Chen +3

Blockchain technologies are taking the world by storm. Public blockchains, such as Bitcoin and Ethereum, enable secure peer-to-peer applications like crypto-currency or smart contr…

cs.LG2016★ 1 cited

Deep Learning At Scale and At Ease

Wei Wang, Gang Chen, Haibo Chen +5

Recently, deep learning techniques have enjoyed success in various multimedia applications, such as image classification and multi-modal data analysis. Large deep learning models a…

cs.CR2012★ 4 cited

Stream on the Sky: Outsourcing Access Control Enforcement for Stream Data to the Cloud

Tien Tuan Anh Dinh, Anwitaman Datta

There is an increasing trend for businesses to migrate their systems towards the cloud. Security concerns that arise when outsourcing data and computation to the cloud include data…