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ORCIDICFC 2019: Prague, Czech Republic
- IEEE International Conference on Fog Computing, ICFC 2019, Prague, Czech Republic, June 24-26, 2019. IEEE 2019, ISBN 978-1-7281-3236-5
- Luciano Baresi
, Danilo Filgueira Mendonça:
Towards a Serverless Platform for Edge Computing. 1-10 - Olivier Brun, Yonghua Yin:
Random Neural Networks and Deep Learning for Attack Detection at the Edge. 11-14 - Zhigang Lu, Yuewen Wu, Jiwei Xu, Tao Wang:
An Acceleration Method for Docker Image Update. 15-23 - Lan Wang:
Cognitive Packet Network for Self-Aware Adaptive Clouds. 24-26 - Tadeusz Czachórski, Krzysztof Grochla:
Diffusion Approximation Models for Cloud Computations with Task Migrations. 27-30 - Hendrik L. Cech, Marcel Großmann, Udo R. Krieger:
A Fog Computing Architecture to Share Sensor Data by Means of Blockchain Functionality. 31-40 - Mateusz Nowak, Slawomir Nowak, Joanna Domanska:
Cognitive Routing for Improvement of IoT Security. 41-46 - Clemens Lachner, Schahram Dustdar:
A Performance Evaluation of Data Protection Mechanisms for Resource Constrained IoT Devices. 47-52 - Mihajlo Pavloski:
Detecting and Mitigating Storm Attacks in Mobile Access to the Cloud. 53-58 - Josu Doncel, Jean-Michel Fourneau:
Balancing Energy Consumption and Losses with Energy Packet Network Models. 59-68 - Uma Tadakamalla, Daniel A. Menascé:
Autonomic Resource Management Using Analytic Models for Fog/Cloud Computing. 69-79 - Roberto Beraldi, Hussein M. Alnuweiri:
Exploiting Power-of-Choices for Load Balancing in Fog Computing. 80-86 - Fani Basic, Atakan Aral, Ivona Brandic:
Fuzzy Handoff Control in Edge Offloading. 87-96 - Marco Suter, Raphael Eidenbenz, Yvonne-Anne Pignolet, Ankit Singla:
Fog Application Allocation for Automation Systems. 97-106 - Salman Memon, Muthucumaru Maheswaran:
Optimizing Data Transfers for Bandwidth Usage and End-to-End Latency between Fogs and Cloud. 107-114 - Jeremy Musser, Ezra Kissel, Grant Skipper, Martin Swany:
Multi-Layer Stream Orchestration with Flange. 115-123 - Sören Henning, Wilhelm Hasselbring, Armin Möbius:
A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments. 124-133 - Songjie Wang, Samaikya Valluripally, Reshmi Mitra, Sai Shreya Nuguri, Khaled Salah, Prasad Calyam:
Cost-Performance Trade-Offs in Fog Computing for IoT Data Processing of Social Virtual Reality. 134-143 - Jonathan Hasenburg, Martin Grambow, Elias Grünewald, Sascha Huk, David Bermbach:
MockFog: Emulating Fog Computing Infrastructure in the Cloud. 144-152 - Yukun Zeng, Mengyuan Chao, Radu Stoleru:
EmuEdge: A Hybrid Emulator for Reproducible and Realistic Edge Computing Experiments. 153-164 - Harshit Daga, Hobin Yoon, Ketan Bhardwaj, Harshit Gupta, Ada Gavrilovska:
From Back-of-the-Envelope to Informed Estimation of Edge Computing Benefits in Minutes Using Castnet. 165-174 - Marius Noreikis, Yu Xiao, Yuming Jiang:
Edge Capacity Planning for Real Time Compute-Intensive Applications. 175-184 - Ioanna Stypsanelli, Olivier Brun, Samir Medjiah, Balakrishna J. Prabhu:
Capacity Planning of Fog Computing Infrastructures under Probabilistic Delay Guarantees. 185-194 - Vladimir Marbukh:
Towards Fog Network Utility Maximization (FoNUM) for Managing Fog Computing Resources. 195-200 - Tobias Pfandzelter, David Bermbach:
IoT Data Processing in the Fog: Functions, Streams, or Batch Processing? 201-206
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