Betreff: | IEEE Cloud Computing: Special Issue "Connecting Fog and Cloud Computing" |
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Datum: | Sat, 16 Jul 2016 13:49:34 +0200 |
Von: | Stefan Schulte <s.schulte@INFOSYS.TUWIEN.AC.AT> |
Antwort an: | Mailing List der GI FG 3.3.1 "Kommunikation und Verteilte Systeme" <KUVS-L@LISTSERV.UNI-HEIDELBERG.DE> |
An: | KUVS-L@LISTSERV.UNI-HEIDELBERG.DE |
Dear colleagues,
Please let me bring to
your attention a special issue in the IEEE Cloud Computing
magazine that is of relevance to this mailing list:
https://www.computer.org/web/computingnow/call-for-papers-cloud-computing-march-april
Submission deadline: 3 October 2016
Publication date:
March/April 2017
In parallel to the rise
of cloud computing, there is an ongoing penetration of
business and personal spaces by Internet of Things (IoT)
devices. Such devices do not only act as sensors, but also
provide computing, networking, and storage resources. Fog
computing (sometimes referred to as edge computing) provides
a conceptual approach for virtualizing and orchestrating
these resources to process data. Fog computing makes it
possible to move from centralized cloud-based data
processing to a decentralized processing network that
includes networked edge devices, allows for cloud offloading
and multicloud deployment, and leverages federated clouds.
A number of conceptual
approaches to provide such solutions have already been
proposed. Despite these existing theoretical foundations,
practical adoption of fog computing is still at its very
beginning. Consequently, this Special Issue of IEEE Cloud
Computing seeks to address these needs. To do so, areas of
interest for this Special Issue include, but are not
limited, to:
- Development techniques
for applications that combine fog and cloud resources
- DevOps for fog computing
- Modeling approaches
for fog and cloud computing
- Fog-to-(multi)cloud
solutions
- Deploying and managing
applications in the fog and in the cloud
- Automated service and
virtual resource selection and allocation
- Virtualization of edge
devices
- Self-adaptation and
self-optimization of fog services
- Monitoring of fog and
cloud infrastructures and applications
- Resource management
for fog data analysis in the cloud
- Security and privacy
issues in fog computing
- Business models for
fog computing
- Standardization
activities
- Best practices,
success factors, and empirical studies
- New delivery models
for fog computing application scenarios
- Reports on use cases,
for instance in connected vehicles, smart grid, energy
harvesting, or home automation
We are looking forward
to your submissions.
Erik Elmroth
Philipp Leitner
Stefan Schulte
Srikumar Venugopal