Abstract is missing.
- Towards a Serverless Platform for Edge ComputingLuciano Baresi, Danilo Filgueira Mendonça. 1-10 [doi]
- Random Neural Networks and Deep Learning for Attack Detection at the EdgeOlivier Brun, Yonghua Yin. 11-14 [doi]
- An Acceleration Method for Docker Image UpdateZhigang Lu, Yuewen Wu, Jiwei Xu, Tao Wang 0030. 15-23 [doi]
- Cognitive Packet Network for Self-Aware Adaptive CloudsLan Wang. 24-26 [doi]
- Diffusion Approximation Models for Cloud Computations with Task MigrationsTadeusz Czachórski, Krzysztof Grochla. 27-30 [doi]
- A Fog Computing Architecture to Share Sensor Data by Means of Blockchain FunctionalityHendrik L. Cech, Marcel Großmann, Udo R. Krieger. 31-40 [doi]
- Cognitive Routing for Improvement of IoT SecurityMateusz Nowak, Slawomir Nowak, Joanna Domanska. 41-46 [doi]
- A Performance Evaluation of Data Protection Mechanisms for Resource Constrained IoT DevicesClemens Lachner, Schahram Dustdar. 47-52 [doi]
- Detecting and Mitigating Storm Attacks in Mobile Access to the CloudMihajlo Pavloski. 53-58 [doi]
- Balancing Energy Consumption and Losses with Energy Packet Network ModelsJosu Doncel, Jean-Michel Fourneau. 59-68 [doi]
- Autonomic Resource Management Using Analytic Models for Fog/Cloud ComputingUma Tadakamalla, Daniel A. Menascé. 69-79 [doi]
- Exploiting Power-of-Choices for Load Balancing in Fog ComputingRoberto Beraldi, Hussein M. Alnuweiri. 80-86 [doi]
- Fuzzy Handoff Control in Edge OffloadingFani Basic, Atakan Aral, Ivona Brandic. 87-96 [doi]
- Fog Application Allocation for Automation SystemsMarco Suter, Raphael Eidenbenz, Yvonne Anne Pignolet, Ankit Singla. 97-106 [doi]
- Optimizing Data Transfers for Bandwidth Usage and End-to-End Latency between Fogs and CloudSalman Memon, Muthucumaru Maheswaran. 107-114 [doi]
- Multi-Layer Stream Orchestration with FlangeJeremy Musser, Ezra Kissel, Grant Skipper, Martin Swany. 115-123 [doi]
- A Scalable Architecture for Power Consumption Monitoring in Industrial Production EnvironmentsSören Henning, Wilhelm Hasselbring, Armin Möbius. 124-133 [doi]
- Cost-Performance Trade-Offs in Fog Computing for IoT Data Processing of Social Virtual RealitySongjie Wang, Samaikya Valluripally, Reshmi Mitra, Sai Shreya Nuguri, Khaled Salah, Prasad Calyam. 134-143 [doi]
- MockFog: Emulating Fog Computing Infrastructure in the CloudJonathan Hasenburg, Martin Grambow, Elias Grünewald, Sascha Huk, David Bermbach. 144-152 [doi]
- EmuEdge: A Hybrid Emulator for Reproducible and Realistic Edge Computing ExperimentsYukun Zeng, Mengyuan Chao, Radu Stoleru. 153-164 [doi]
- From Back-of-the-Envelope to Informed Estimation of Edge Computing Benefits in Minutes Using CastnetHarshit Daga, Hobin Yoon, Ketan Bhardwaj, Harshit Gupta, Ada Gavrilovska. 165-174 [doi]
- Edge Capacity Planning for Real Time Compute-Intensive ApplicationsMarius Noreikis, Yu Xiao, Yuming Jiang. 175-184 [doi]
- Capacity Planning of Fog Computing Infrastructures under Probabilistic Delay GuaranteesIoanna Stypsanelli, Olivier Brun, Samir Medjiah, Balakrishna J. Prabhu. 185-194 [doi]
- Towards Fog Network Utility Maximization (FoNUM) for Managing Fog Computing ResourcesVladimir Marbukh. 195-200 [doi]
- IoT Data Processing in the Fog: Functions, Streams, or Batch Processing?Tobias Pfandzelter, David Bermbach. 201-206 [doi]