B
Beng Chin Ooi
Researcher at National University of Singapore
Publications - 447
Citations - 21802
Beng Chin Ooi is an academic researcher from National University of Singapore. The author has contributed to research in topics: Search engine indexing & Scalability. The author has an hindex of 73, co-authored 408 publications receiving 19174 citations. Previous affiliations of Beng Chin Ooi include University Health System & Microsoft.
Papers
More filters
Proceedings Article
Efficient Progressive Skyline Computation
TL;DR: This paper presents two novel algorithms, Bitmap and Index, to compute the skyline of a set of points, and shows that the proposed algorithms provide quick initial response time with Index being superior in most cases.
Journal ArticleDOI
Untangling Blockchain: A Data Processing View of Blockchain Systems
TL;DR: This paper conducts a comprehensive evaluation of three major blockchain systems based on BLOCKBENCH, namely Ethereum, Parity, and Hyperledger Fabric, and discusses several research directions for bringing blockchain performance closer to the realm of databases.
Proceedings ArticleDOI
BLOCKBENCH: A Framework for Analyzing Private Blockchains
TL;DR: Blockbench as mentioned in this paper is an evaluation framework for analyzing private blockchains, which can be used to assess blockchains' viability as another distributed data processing platform, while helping developers to identify bottlenecks and accordingly improve their platforms.
Journal ArticleDOI
iDistance: An adaptive B+-tree based indexing method for nearest neighbor search
TL;DR: An efficient B+-tree based indexing method for K-nearest neighbor (KNN) search in a high-dimensional metric space, called iDistance, which partitions the data based on a space- or data-partitioning strategy, and selects a reference point for each partition.
Journal ArticleDOI
The performance of MapReduce: an in-depth study
TL;DR: By carefully tuning these factors, the overall performance of Hadoop can be improved by a factor of 2.5 to 3.5, and is thus more comparable to that of parallel database systems.