-------- Forwarded Message --------
CALL FOR PAPERS
Special Issue on Co-design of Data and Computation Management in
Fog
Computing
to be published in the Future Generation Computer Systems (FGCS)
Journal
CFP:
https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/co-design-of-data-and-computation-management
------------------------------------------------------
IMPORTANT DATES
- Submission deadline: January 31st, 2020
- Authors' Notification: April 30th, 2020
- Revised version deadline: June 12th, 2020
- Final decision: July 31st, 2020
------------------------------------------------------
OVERVIEW
The term Fog Computing has been introduced to identify a paradigm
for
designing applications able to exploit both the (virtually)
infinite
resources on the cloud and the limited edge computation power by
operating
also on the devices living in between these two sides. More
specifically,
the aim is to exploit a heterogeneous and distributed
computational and
storage environment to optimize the execution of modern
applications
requiring high computational resources while reducing the delay
and
defining constraints on where and how data can be moved and
stored. In
fact, big volumes of data are produced every day at the edge of
the network
and their analysis requires to either move the computation to the
data or
to move the data to the computation. For this reason, a co-design
between
data and computation management is required. An example could be
to define
the amount of data to be moved with respect to the complexity of
required
data analysis. In some cases, this data movement is not possible
or limited
due to privacy restrictions, which do not allow data collected at
the edge
to be stored on cloud facilities maintained by third-party actors.
In other
cases, the volume of data moved through the network introduces
severe
delays in the processing and techniques to reduce the volume by
pre-processing and filtering them directly where the data are
generated
should be enacted to reduce this delay. At the same time, any
transformation of the data might affect their utility for the
final
customer, thus, also the quality of the data should be taken into
account.
Moreover, the data collected by IoT and sensors at the edge is
often
subject to quality issues that might be detected and solved before
using
them for analytics and decision making.
TOPICS
This special issue aims to gather recent work on the topic of data
and
computation management in fog computing. Topics of particular
interest
include, but are not limited to:
- Management and control of Fog Computing resources and
applications
- Data and computation management architectures in Fog Computing
- Data-driven offloading computation
- Security and privacy issues in data and computation management
in Fog
Computing
- Data movement, data duplication, and data distribution
- Energy efficiency in Fog Computing through data and computation
movement
- Data quality assessment and improvement in Fog Computing
- Data processing in heterogeneous and/or distributed environments
- Internet of Things and Fog Computing
- Smart monitoring and anomaly detection for Fog resources and
applications
- Simulation tools for Fog Computing
- Data processing platforms for Fog Computing
- Experiment-driven research on data and processing placement
------------------------------------------------------
SUBMISSION GUIDELINES
All submissions must be original and may not be under review by
another
publication.
The limit length of accepted papers should be 15 pages (including
abstract,
figures and references).
Link to the paper submission page:
https://www.evise.com/profile/api/navigate/FGCS
When submitting the paper choose the issue: "VSI:Data &
Computation in Fog".
------------------------------------------------------
Guest editors and contacts:
Monica Vitali, Politecnico di Milano and Umeå University,
monica.vitali@polimi.it
Pierluigi Plebani, Politecnico di Milano,
pierluigi.plebani@polimi.it
David Bermbach, Technische Universität Berlin,
db@mcc.tu-berlin.de
Erik Elmroth, Umeå University and Elastisys,
elmroth@cs.umu.se
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org