Work

Optimizing data stream processing for large‐scale applications

Year: 2018

Type: article

Source: Software Practice and Experience

DOI: 10.1002/spe.2596

Authors: Paolo Cappellari, Mark Roantree, Soon Ae Chun

Institutions: City University of New York, Dublin City University, Insight SFI Research Centre for Data Analytics

Language: English

Topic: Advanced Database Systems and Queries

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: II-EN: CUNY Computing Research Infrastructure, I/UCRC: Center for Hybrid Multicore Productivity Research (CHMPR) - Rutgers Site, MRI: Instrumentation for Enabling Data Analysis, Sharing, Storage, and Preservation, II-EN: City University of New York - Computing Research Infrastructure

OpenAlex ID: W2808870823

FWCI: 0.553

Cites: 28

Cited by: 3

Related to: 10