Table of Contents

• Containerized Computer Vision Applications on Edge DevicesOsamah I. Alqaisi, Ali Saman Tosun, Turgay Korkmaz. 1-11 [doi]
• COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge ContinuumPaul Townend, Alberto P. Martí, Idoia De-la-Iglesia, Nikolaos Matskanis, Thomas Ohlson Timoudas, Torsten Hallmann, Antonio Lalaguna, Kaja Swat, Francesco Renzi, Dominik Bochenski, Marco Mancini, Monowar Bhuyan, Marco González-Hierro, Sébastien Dupont, Johan Kristiansson, Rubén S. Montero, Erik Elmroth, Ivá Valdés, Philippe Massonet, Daniel Olsson, Ignacio Martín Llorente, Per-Olov Östberg, Michael Abdou. 12-22 [doi]
• When Edge Meets FaaS: Opportunities and ChallengesRunyu Jin, Qirui Yang, Ming Zhao 0002. 23-25 [doi]
• Transfer-Once-For-All: AI Model Optimization for EdgeAchintya Kundu, Laura Wynter, Rhui Dih Lee, Luis Angel D. Bathen. 26-35 [doi]
• Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at EdgeDheeraj Ramchandani, Bahar Asgari, Hyesoon Kim. 36-42 [doi]
• DOSA: Organic Compilation for Neural Network Inference on Distributed FPGAsBurkhard Ringlein, François Abel, Dionysios Diamantopoulos, Beat Weiss, Christoph Hagleitner, Dietmar Fey. 43-50 [doi]
• SQuBA: Social Quorum Based Access Control for Open IoT EnvironmentsYixuan Wang, Abhishek Chandra, Jon B. Weissman. 51-62 [doi]
• A Survey of Faults and Fault-Injection Techniques in Edge Computing SystemsMaryam Pourreza, Priya Narasimhan. 63-71 [doi]
• ConPrEF: A Context-based Privacy Enforcement Framework for Edge ComputingGiorgia Sirigu, Barbara Carminati, Elena Ferrari. 72-78 [doi]
• NEOS: Non-intrusive Edge Observability stack based on Zero Trust security model for Ubiquitous ComputingAbhijit Kumar, Tauseef Ahmed, Konica Saini, Jay Kumar. 79-84 [doi]
• MECBench: A Framework for Benchmarking Multi-Access Edge Computing PlatformsOmar Naman, Hala Qadi, Martin Karsten, Samer Al-Kiswany. 85-95 [doi]
• IEEE P1935 Edge/Fog Manageability and Orchestration: Standard and Usage ExampleTse-Yu Chen, Yao Chiang, Jian-Han Wu, Huan-Ting Chen, Chiao-Cheng Chen, Hung-Yu Wei. 96-103 [doi]
• Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous VehiclesSihai Tang, Shengze Wang, Song Fu, Qing Yang 0003. 104-114 [doi]
• Edge Computing Tasks Orchestration: An Energy-Aware ApproachJohan Løhde Thomsen, Kristian Dragsbæk Schmidt Thomsen, Rasmus B. Schmidt, Søren D. Jakobsgaard, Thor Beregaard, Michele Albano, Sergio Moreschini, Davide Taibi. 115-117 [doi]
• Domain modeling for scenario sensing and edge decision-makingHaoran Shi, Shijun Liu, Li Pan. 118-125 [doi]
• Creating Robust Deep Neural Networks with Coded Distributed Computing for IoTRamyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim. 126-132 [doi]
• Seque: Lean and Energy-aware Data Management for IoT GatewaysPierre-Louis Sixdenier, Stefan Wildermann, Martin Ottens, Jürgen Teich. 133-139 [doi]
• Probabilistic Error Reasoning on IoT Edge DevicesQing Charles Cao, Yunhe Feng. 140-149 [doi]
• LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge ComputingRonit Das, Tie Luo. 150-158 [doi]
• Towards Autonomous Anomaly Management Using Semantic Technologies at the EdgeJoffrey de Oliveira, Christophe Callé, Philippe Calvez, Olivier Curé. 159-165 [doi]
• Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson DevicesNeda Shalavi, Aria Khoshsirat, Marco Stellini, Andrea Zanella, Michele Rossi. 166-170 [doi]
• Weighted Load Balancing Method for Heterogeneous Clusters on Hybrid CloudsKeita Hagiwara, Yanzhi Li, Midori Sugaya. 171-176 [doi]
• Fault Tolerant Horizontal Computation OffloadingAlexander Droob, Daniel Morratz, Frederik Langkilde Jakobsen, Jacob Carstensen, Magnus Mathiesen, Rune Bohnstedt, Michele Albano, Sergio Moreschini, Davide Taibi. 177-182 [doi]
• Offload Shaping for Wearable Cognitive AssistanceRoger Iyengar, Qifei Dong, Chanh Nguyen, Padmanabhan Pillai, Mahadev Satyanarayanan. 183-189 [doi]
• An Orchestrator Architecture for Multi-tier Edge/Cloud Video Streaming ServicesEduardo S. Gama, Natesha B. V, Roger Immich, Luiz F. Bittencourt. 190-196 [doi]
• Performance Analysis of Real-Time Video Surveillance Application Leveraging Edge and CloudPriyal Thakkar, Ashish Singh Patel, Gaurav Shukla, Arzad Alam Kherani, Brejesh Lall. 197-203 [doi]
• eDashA: Edge-based Dash Cam Video AnalyticsJayden King, Young Choon Lee. 204-206 [doi]
• Improved Knowledge Distillation for Crowd Counting on IoT DevicesZuo Huang, Richard O. Sinnott. 207-214 [doi]
• FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge ComputingPaul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam 0001, Ebelechukwu Nwafor, Habeeb Olufowobi. 215-220 [doi]
• A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in TelemedicineMichele Boldo, Damiano Carra, Davide Quaglia, Nicola Bombieri. 221-226 [doi]
• Human-Centered Explainable AI at the Edge for eHealthJoy Dutta, Deepak Puthal. 227-232 [doi]
• AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory ComputingHadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui. 233-244 [doi]
• Reducing Inference Latency with Concurrent Architectures for Image Recognition at EdgeRamyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim. 245-254 [doi]
• Context-Aware Task Handling in Resource-Constrained Robots with VirtualizationRamyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim. 255-261 [doi]
• Satellite Computing: A Case Study of Cloud-Native SatellitesChao Wang, Yiran Zhang, Qing Li, Ao Zhou, Shangguang Wang. 262-270 [doi]
• A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained DevicesEdon Govori, Ilir Murturi, Schahram Dustdar. 271-279 [doi]
• EIS: Edge Information-Aware Scheduler for Containerized IoT ApplicationsZeyuan Wang, Xinglin Zhang, Lei Yang. 280-289 [doi]
• EdgeRDV: A Framework for Edge Workload Management at ScaleGloire Rubambiza, Braulio Dumba, Andrew J. Anderson, Hakim Weatherspoon. 290-300 [doi]
• Data-centric Edge-AI: A Symbolic Representation Use CaseShashikant Ilager, Vincenzo De Maio, Ivan Lujic, Ivona Brandic. 301-308 [doi]
• Service Classification of Network Traffic in 5G Core Networks using Machine LearningRobert Pell, Mohammad Shojafar, Dimitrios Kosmanos, Sotiris Moschoyiannis. 309-318 [doi]
• Big Data Analytics from the Rich Cloud to the Frugal EdgeFeras M. Awaysheh, Riccardo Tommasini 0001, Ahmed Awad 0001. 319-329 [doi]
• The Potentials of AI Planning on the EdgeIlche Georgievski, Marco Aiello 0001. 330-336 [doi]
• Realising the Power of Edge Intelligence: Addressing the Challenges in AI and tinyML Applications for Edge ComputingMichael Gibbs, Eiman Kanjo. 337-343 [doi]
• PATRIoTA: A Similarity-based IoT Malware Detection Method Robust Against Adversarial SamplesJózsef Sándor, Roland Nagy, Levente Buttyán. 344-353 [doi]
• A Brief History of Liquid SoftwareCesare Pautasso. 354-363 [doi]
• Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8Mikolaj Lysakowski, Kamil Zywanowski, Adam Banaszczyk, Michal R. Nowicki, Piotr Skrzypczynski, Slawomir Konrad Tadeja. 364-371 [doi]
• Towards Intelligent Data Protocols for the EdgePraveen Kumar Donta, Schahram Dustdar. 372-380 [doi]
• Intelligent Multi-Domain Edge Orchestration for Highly Distributed Immersive Services: An Immersive Virtual Touring Use CaseTarik Zakaria Benmerar, Theodoros Theodoropoulos, Diogo Fevereiro, Luis Rosa, João Rodrigues, Tarik Taleb, Paolo Barone, Konstantinos Tserpes, Luís Cordeiro. 381-392 [doi]
• DDoS-FOCUS: A Distributed DoS Attacks Mitigation using Deep Learning Approach for a Secure IoT NetworkMohammed Al-Khafajiy, Ghaith Al-Tameemi, Thar Baker. 393-399 [doi]
• Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoTElena Becker, Maanak Gupta, Kshitiz Aryal. 400-410 [doi]