Title
Combining Edge and Cloud computing for low-power, cost-effective metagenomics analysis.
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.
Year
DOI
Venue
2019
10.1016/j.future.2018.07.036
Future Generation Computer Systems
Keywords
Field
DocType
Metagenomics,Environmental genomics,Edge computing,Cloud computing,Internet of Things,Internet of Living Things
Minion,Data transmission,Nanopore sequencing,Computer science,Scheduling (computing),Metagenomics,Data center,Cloud computing,Distributed computing
Journal
Volume
ISSN
Citations 
90
0167-739X
0
PageRank 
References 
Authors
0.34
14
5
Name
Order
Citations
PageRank
Daniele D'Agostino113023.39
Lucia Morganti2175.02
Elena Corni3103.65
Daniele Cesini4309.51
Ivan Merelli529435.36