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20122022
most citedBLOCKBENCH: A Framework for Analyzing Private Blockchains

211 citations · 245 across the 15 of their papers we have counts for

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Showing cs.DBShow all

7 papers · 1 filter

cs.DB2019

Database Meets Deep Learning: Challenges and Opportunities

Wei Wang, Meihui Zhang, Gang Chen +3

Deep learning has recently become very popular on account of its incredible success in many complex data-driven applications, such as image classification and speech recognition. T…

cs.DB2019

Transparent Concurrency Control: Decoupling Concurrency Control from DBMS

Ningnan Zhou, Xuan Zhou, Kian-lee Tan +1

For performance reasons, conventional DBMSes adopt monolithic architectures. A monolithic design cripples the adaptability of a DBMS, making it difficult to customize, to meet part…

cs.DB2017

VCExplorer: A Interactive Graph Exploration Framework Based on Hub Vertices with Graph Consolidation

Huiju Wang, Zhengkui Wang, Kian-Lee Tan +3

Graphs have been widely used to model different information networks, such as the Web, biological networks and social networks (e.g. Twitter). Due to the size and complexity of the…

cs.DB2017211 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.DB201711 cited

UStore: A Distributed Storage With Rich Semantics

Anh Dinh, Ji Wang, Sheng Wang +9

Today's storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too hig…

cs.DB2013

Trajectory Based Optimal Segment Computation in Road Network Databases

Xiaohui Li, Vaida Ceikute, Christian S. Jensen +1

Finding a location for a new facility such that the facility attracts the maximal number of customers is a challenging problem. Existing studies either model customers as static si…