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Data&ComputationFog 2020 : Special Issue on Co-design of Data and Computation Management in Fog Computing

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Link: https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/co-design-of-data-and-computation-management
 
When N/A
Where N/A
Submission Deadline Jan 31, 2020
Notification Due Apr 30, 2020
Final Version Due Jun 12, 2020
Categories    fog computing   cloud computing   data management   information systems
 

Call For Papers

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 Umeå University, monica.vitali@polimi.it
Pierluigi Plebani, Politecnico di Milano, pierluigi.plebani@polimi.it
David Bermbach, Technische Universitat Berlin, db@mcc.tu-berlin.de
Erik Elmroth, Umeå University and Elastisys, elmroth@cs.umu.se

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