Divyakant Agrawal
University of California, Santa Barbara
486 Papers
6.3K Citations
Divyakant Agrawal is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Computer science & Scalability. The author has an hindex of 72, co-authored 458 publications. Previous affiliations of Divyakant Agrawal include University of California & Ask.com.
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Papers
BFT: Bit Filtration Technique for Approximate String Join in Biological Databases
S. Alireza Aghili,Divyakant Agrawal,Amr El Abbadi +2 more
- 08 Oct 2003
TL;DR: A novel Bit Filtration Technique (BFT) based on vector transformation is proposed and the application of DFT(Discrete Fourier Transformation) and DWT (Discrete Wavelet Transformation, Haar) dimensionality reduction techniques as a pre-processing filtration step which effectively reduces the search space and running time of the join operation.
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•Posted Content
DGCC: A New Dependency Graph based Concurrency Control Protocol for Multicore Database Systems.
Chang Yao,Divyakant Agrawal,Pengfei Chang,Gang Chen,Beng Chin Ooi,Weng-Fai Wong,Meihui Zhang +6 more
TL;DR: This paper proposes a new concurrency control protocol called DGCC (Dependency Graph based Concurrency Control), which builds dependency graphs for batched transactions before executing them and achieves up to four times higher throughput compared to that of state-of-the-art concurrence control protocols for high contention workloads.
Data management of moving objects
Hae Don Chon,Divyakant Agrawal,Amr El Abbadi +2 more
- 01 Jan 2002
TL;DR: A model (the Space-Time Grid model) to efficiently manage dynamically changing information about moving objects in a one-dimensional space is developed and can be used to provide time-dependent shortest paths to moving objects.
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Attribute-Based access to distributed data over p2p networks
Divyakant Agrawal,Amr El Abbadi,Subhash Suri +2 more
- 01 Mar 2007
TL;DR: This paper addresses a natural step in the evolution of P2P: data and information sharing where data is accessed based on its attributes or properties, and proposes three new models for both data distribution and data accesses.
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PReVer: Towards Private Regulated Verified Data
Mohammad Javad Amiri,Tristan Allard,Divyakant Agrawal,Amr El Abbadi +3 more
- 29 Mar 2022
TL;DR: This paper proposes PReVer, a universal framework for managing regulated dynamic data in a privacy-preserving manner, and explores a set of research challenges that PRe Ver needs to address in order to guarantee the privacy of data, updates, and/or constraints.