On the impact of clustering for IoT analytics and message broker placement across cloud and edge.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/eurosys/HappB20
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/conf/eurosys/HappB20
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Daniel_Happ
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Suzan_Bayhan
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1145%2F3378679.3394538
>
foaf:
homepage
<
https://doi.org/10.1145/3378679.3394538
>
dc:
identifier
DBLP conf/eurosys/HappB20
(xsd:string)
dc:
identifier
DOI doi.org%2F10.1145%2F3378679.3394538
(xsd:string)
dcterms:
issued
2020
(xsd:gYear)
rdfs:
label
On the impact of clustering for IoT analytics and message broker placement across cloud and edge.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Daniel_Happ
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Suzan_Bayhan
>
swrc:
pages
43-48
(xsd:string)
dcterms:
partOf
<
https://dblp.l3s.de/d2r/resource/publications/conf/eurosys/2020edgesys
>
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/conf/eurosys/HappB20/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/conf/eurosys/HappB20
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/conf/eurosys/edgesys2020.html#HappB20
>
rdfs:
seeAlso
<
https://doi.org/10.1145/3378679.3394538
>
swrc:
series
<
https://dblp.l3s.de/d2r/resource/conferences/eurosys
>
dc:
title
On the impact of clustering for IoT analytics and message broker placement across cloud and edge.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:InProceedings
rdf:
type
foaf:Document