IEEE ICFEC 2022
In Conjunction with CCGrid 2022
18-19 May, 2022 Taormina (Messina), Italy
IEEE ICFEC 2022
In Conjunction with CCGrid 2022
18-19 May, 2022 Taormina (Messina), Italy
ICFEC 2022
Billions of devices and sensors ranging from user gadgets to more complex The number of Internet-of-Things (IoT) devices is predicted to reach 38.6 billion by 2025. These connected devices, ranging from user devices to more complex systems, such as vehicles and power grids, are equipped with sensing, actuating, communication, processing, and storage capabilities, and they generate huge amounts of data of various types. However, the need to operate the scale of heterogeneous IoT devices while being performance-efficient in real-time is challenging. Typically, the data generated by the IoT devices are transferred to and processed centrally by services hosted on geographically distant clouds. This is untenable given the communication latency incurred and the ingress bandwidth demand.
A new and disruptive paradigm spear-headed by academics and industry experts is taking shape so that applications can leverage resources located at the edge of the network and along the continuum between the cloud and the edge. These edge resources may be geographically or in the network topology closer to IoT devices, such as home routers, gateways, or more substantial micro data centers. Edge resources may be used to offload selected services from the cloud to accelerate an application or to host edge-native applications. The paradigm within which the edge is harnessed is referred to as "Fog/Edge computing".
The Fog/Edge computing paradigm is expected to improve the agility of service deployments, to allow the usage of opportunistic and cheap computing, and to leverage the network latency and bandwidth diversities between these resources. Numerous challenges arise when using edge resources, which require the re-examination of operating systems, virtualization and containers, and middleware techniques for fabric management. New abstractions and extensions to current programming and storage models are necessary to allow developers to design novel applications that can benefit from massively distributed and data-driven edge systems. Addressing security, privacy, and trust of the edge resources is of paramount importance while managing the resources and context of mobile, transient and hardware-constrained resources. The integration of edge computing and 5G will also bring new opportunities and unique challenges. Enabling machine/deep learning at the edge is critical for many applications. Lastly, emerging domains like autonomous vehicles and smart health need to be supported by fog and edge resources.
Download the PDF call for papers here
The IEEE International Conference on Fog and Edge Computing seeks to attract high-quality contributions covering both theory and practice over systems research and emerging domain-specific applications related to next-generation distributed systems that use the edge and the fog. Some representative topics of interest include, but are not limited to:
| SIMORA: SIMulating Open Routing protocols for Application interoperability on edge devices Benjamin Warnke, Yuri Cotrado Sehgelmeble, Johann Mantler, Sven Groppe and Stefan Fischer |
| Evaluation of Control over the Edge of a Configurable Mid-band 5G Base Station (Short Paper) Haorui Peng, William Tärneberg, Kaan Bür, Emma Fitzgerald, Fredrik Tufvesson and Maria Kihl |
| Sparse Communication for Federated Learning Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute and Hajimu Iida |
| When IoT Data Meets Streaming in the Fog Lydia Ait Oucheggou, Mohammed Islam Naas, Yassine Hadjadj-Aoul and Jalil Boukhobza |
| Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams (Short Paper) Soeren Becker, Dominik Scheinert, Florian Schmidt and Odej Kao |
| SDN-based Service Discovery and Assignment Framework to Preserve Service Availability in Telco-based Multi Access Edge Computing (Short Paper) Amirhossein Ghorab, Mohammed Abuibaid and Marc St-Hilaire |
| iSample: Intelligent Client Sampling in Federated Learning Hamidreza Imani, Jeff Anderson and Tarek El-Ghazawi |
| Specification and Operation of Privacy Models for Data Streams on the Edge (Short Paper) Boris Sedlak, Ilir Murturi and Schahram Dustdar |
| FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters Christopher Peter Smith, Anshul Jindal, Mohak Chadha, Michael Gerndt and Shajulin Benedict |
| QoS-Aware Resource Placement for LEO Satellite Edge Computing Tobias Pfandzelter and David Bermbach |
| High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation (Short Paper) Nicolò Bartelucci, Paolo Bellavista, Thomas Pusztai, Andrea Morichetta and Schahram Dustdar |
| Optimal Timing for Bandwidth Reservation for Time-Sensitive Vehicular Applications (Short Paper) Abdullah Al-Khatib, Faisal Al-Khateeb, Abdelmajid Khelil and Klaus Moessner |
| FogTMDetector - Fog Based Transport Mode Detection using Smartphones Mahdieh Kamalian and Paulo Ferreira |
| Good Shepherds Care For Their Cattle: Seamless Pod Migration in Geo-Distributed Kubernetes Paulo Souza, Daniele Miorandi and Guillaume Pierre |
| Edge Workload Trace Gathering and Analysis for Benchmarking Klervie Toczé, Norbert Schmitt, Ulf Kargén, Atakan Aral and Ivona Brandic |
All accepted papers will be published by IEEE Computer Society Press (EI-Index) and included in the IEEE Digital Library. For publication, each accepted paper is required to be registered by one of its authors, and at least one author is required to attend and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library.
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