1138590
doi
10.1145/3175684.3175709
oai:zenodo.org:1138590
user-eu
Vlado Stankovski
Auto-scaling Applications in Edge Computing: Taxonomy and Challenges
Salman Taherizadeh
handle:ACM ISBN 978-1-4503-5430-1/17/12
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/legalcode
Auto-scaling
Edge computing
Cloud
Internet of Things (IoT)
Taxonomy
<p>The perspective of online services such as Internet of Things (IoT) applications has impressively evolved over the last recent years as they are becoming more and more time-sensitive, maintained at decentralized locations and easily affected by the changing workload intensity at runtime. As a consequence, an up-and-coming trend has been emerging from previously centralized computation to distributed edge computing in order to address these new concerns. The goal of the present paper is therefore twofold. At first, to analyze modern types of edge computing applications and their auto-scaling challenges to offer desirable performance in conditions where the workload dynamically changes. Secondly, to present a new taxonomy of auto-scaling applications. This taxonomy thoroughly considers edge computing paradigm and its complementary technologies such as container-based visualization.</p>
Zenodo
2017-12-20
info:eu-repo/semantics/conferencePaper
1138589
user-eu
0.99
award_title=Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications; award_number=643963; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/643963; funder_id=00k4n6c32; funder_name=European Commission;
award_title=dEcentralized repositories for traNsparent and efficienT vIrtual maChine opErations; award_number=644179; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/644179; funder_id=00k4n6c32; funder_name=European Commission;
1579539019.422135
920021
md5:bf1135a7513cac560b7e8945b239f364
https://zenodo.org/records/1138590/files/BDIOT2017-249- formatted for zenodo.pdf
public
ACM ISBN 978-1-4503-5430-1/17/12
Is supplement to
handle