activity
20162022
most citedHardware-Conscious Stream Processing: A Survey

24 citations · 48 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2022★ 1 cited

DECLOAK: Enable Secure and Cheap Multi-Party Transactions on Legacy Blockchains by a Minimally Trusted TEE Network

Qian Ren, Yue Li, Yingjun Wu +4

As the confidentiality and scalability of smart contracts have become a crucial demand of blockchains, off-chain contract execution frameworks have been promising. Some have recent…

cs.CR2021★ 1 cited

Cloak: Transitioning States on Legacy Blockchains Using Secure and Publicly Verifiable Off-Chain Multi-Party Computation

Qian Ren, Yingjun Wu, Han Liu +5

In recent years, the confidentiality of smart contracts has become a fundamental requirement for practical applications. While many efforts have been made to develop architectural…

cs.DB2020★ 24 cited

Hardware-Conscious Stream Processing: A Survey

Shuhao Zhang, Feng Zhang, Yingjun Wu +2

Data stream processing systems (DSPSs) enable users to express and run stream applications to continuously process data streams. To achieve real-time data analytics, recent researc…

cs.DB2019★ 1 cited

WiSer: A Highly Available HTAP DBMS for IoT Applications

Ronald Barber, Christian Garcia-Arellano, Ronen Grosman +10

In a classic transactional distributed database management system (DBMS), write transactions invariably synchronize with a coordinator before final commitment. While enforcing seri…

cs.DB2019★ 20 cited

Towards Concurrent Stateful Stream Processing on Multicore Processors (Technical Report)

Shuhao Zhang, Yingjun Wu, Feng Zhang +1

Recent data stream processing systems (DSPSs) can achieve excellent performance when processing large volumes of data under tight latency constraints. However, they sacrifice suppo…

cs.DB2019★ 1 cited

Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations (Extended Version)

Yingjun Wu, Jia Yu, Yuanyuan Tian +2

Database administrators construct secondary indexes on data tables to accelerate query processing in relational database management systems (RDBMSs). These indexes are built on top…

cs.DB2016

Fast Failure Recovery for Main-Memory DBMSs on Multicores

Yingjun Wu, Wentian Guo, Chee-Yong Chan +1

Main-memory database management systems (DBMS) can achieve excellent performance when processing massive volume of on-line transactions on modern multi-core machines. But existing…