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Conference object . 2018
License: CC BY
Data sources: Datacite
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Conference object . 2018
License: CC BY
Data sources: Datacite
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Applications Of The In-Memory Database Redis In Processing Transient Event Alerts

Authors: Shin, Min-Su;

Applications Of The In-Memory Database Redis In Processing Transient Event Alerts

Abstract

We present results of using the in-memory database Redis in processing transient event alerts. The Redis works in two different ways for processing alerts. First, the publication-subscription model in the Redis allows us to adopt it as a message delivery system for multiple local alert clients. Second, we use the features of indexing and storing geolocation information in the Redis to enable low-latency matching of transient locations with custom catalogs. The current system collects event alerts by using VOEvent streams and detecting changes in web pages/feeds. We also introduce our efforts of migrating the system from the Redis message delivery environment to the NATS-based message processing configuration as well as application of Uber's H3 spatial indexing model instead of the Redis geolocation support.

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Keywords

transient, Redis, Tile38, NoSQL, NATS

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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