[AISWorld] Last CALL FOR PAPERS Special Issue on Co-design of Data and Computation Management in Fog Computing

[Monica Vitali]

LAST 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

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IMPORTANT DATES
- Submission deadline: January 31st, 2020
- Authors' Notification: April 30th, 2020
- Revised version deadline: June 12th, 2020
- Final decision: July 31st, 2020
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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

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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".
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Guest editors and contacts:
Monica Vitali, Politecnico di Milano and Umea University,
monica.vitali at polimi.it
Pierluigi Plebani, Politecnico di Milano, pierluigi.plebani at polimi.it
David Bermbach, Technische Universitat Berlin, db at mcc.tu-berlin.de
Erik Elmroth, Umea University and Elastisys, elmroth at cs.umu.se

Monica Vitali
Politecnico di Milano
Dipartimento di Elettronica, Informazione e Bioingegneria
Via Ponzio 34/5
20133 Milano, Italy
Phone: +39 02 2399 3424
e-mail: monica.vitali at polimi.it
web: http://vitali.faculty.polimi.it