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IEEE Cloud Computing
Article . 2017 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://dx.doi.org/10.5167/uzh...
Other literature type . 2017
Data sources: Datacite
DBLP
Article
Data sources: DBLP
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Connecting Fog and Cloud Computing

Authors: Erik Elmroth; Philipp Leitner 0001; Stefan Schulte 0002; Srikumar Venugopal;

Connecting Fog and Cloud Computing

Abstract

Fog computing provides a conceptual approach for virtualizing and orchestrating computing, networking, and storage resources to process data. This issue helps toprogress the fog computing research field and offer solutions. It is clear that we are still in the formative phase of fog computing, and only the future will reveal which parts of the (sometimes competing) visions, solution proposals, and application areas will prove to be of most value to society and industry. However, as the four papers in this special issue show, the opportunities, as well as the challenges, are manifold. Some of these challenges can be addressed by adapting solutions that have proven their value before, such as the contributions on load balancing, scheduling, and NFV in this special issue.

Countries
Switzerland, Germany
Related Organizations
Keywords

1712 Software, 10009 Department of Informatics, 1705 Computer Networks and Communications, cloud computing, 1706 Computer Science Applications, Software-as-a-Service (SaaS), 000 Computer science, knowledge & systems, fog computing, 1701 Computer Science (miscellaneous), Internet of Things (IoT)

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    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).
    24
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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