학술논문

Combining Edge and Cloud computing for low-power, cost-effective metagenomics analysis.
Document Type
Article
Source
Future Generation Computer Systems. Jan2019, Vol. 90, p79-85. 7p.
Subject
*Data analysis
*Data analytics
Cloud computing
Metagenomics
Nucleotide sequencing
Computer network resources
Language
ISSN
0167-739X
Abstract
Abstract Metagenomic studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial to aquatic ecosystems. This also because genome sequencing is likely to become a routinely and ubiquitous analysis in a near future thanks to a new generation of portable devices, such as the Oxford Nanopore MinION. The main issue is however represented by the huge amount of data produced by these devices, whose management is actually challenging considering the resources required for an efficient data transfer and processing. In this paper we discuss these aspects, and in particular how it is possible to couple Edge and Cloud computing in order to manage the full analysis pipeline. In general, a proper scheduling of the computational services between the data center and smart devices equipped with low-power processors represents an effective solution. Highlights • Portable sequencing machines can be used for monitoring the microbiome in different environments. • Low-power devices can be used to analyze sequencing data in real-time on the field. • Cloud IoT platforms can be used to trigger alarms (rules) or to identify set points (data analytics). • A proper coupling of Edge and Cloud computing is necessary in real-world scenario, where the sampling frequency is dynamically determined. [ABSTRACT FROM AUTHOR]