A BAD demonstration

Author:

Jacobs Steven1,Uddin Md Yusuf Sarwar2,Carey Michael2,Hristidis Vagelis1,Tsotras Vassilis J.1,Venkatasubramanian N.2,Wu Yao3,Safir Syed4,Kaul Purvi4,Wang Xikui4,Qader Mohiuddin Abdul5,Li Yawei5

Affiliation:

1. Univ. of California

2. University of California

3. UCI, Renmin U China

4. UCI

5. UCR

Abstract

Nearly all of today's Big Data systems are passive in nature. We demonstrate our Big Active Data ("BAD") system, a scalable system that continuously and reliably captures Big Data and facilitates the timely and automatic delivery of new information to a large population of interested users as well as supporting analyses of historical information. We built our BAD project by extending an existing scalable, open-source BDMS (AsterixDB [1]) in this active direction. In this demonstration, we allow our audience to participate in an emergency notification application built on top of our BAD platform, and highlight its capabilities.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

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2. Data Enrichment Toolchain: A Data Linking and Enrichment Platform for Heterogeneous Data;IEEE Access;2023

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4. REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

5. Resource-efficient Shared Query Execution via Exploiting Time Slackness;Proceedings of the 2021 International Conference on Management of Data;2021-06-09

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