-------- Weitergeleitete Nachricht -------- Betreff: IEEE Cloud Computing: Special Issue "Connecting Fog and Cloud Computing" 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-ma...

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