venue: IC year: 2025 selected: - title: "Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum" authors: - Ella Peltonen - Suzan Bayhan - David Bermbach - Sebastian Buschjäger - Victoria Degeler - Aaron Yi Ding - Özlem Durmaz Incel - Dewant Katare - Mikkel Baun Kjærgaard - Sam Leroux - Toktam Mahmoodi - Zoltán Ádám Mann - Nirvana Meratnia - Andy D. Pimentel - Jan S. Rellermeyer - Etienne Rivière - Dolly Sapra - Gürkan Solmaz - Bram van der Waaij tldr: "A multi-author position paper calling for carbon-aware design principles across the cloud-to-edge computing continuum, surveying energy measurement, workload scheduling, and hardware lifecycle challenges." why_notable: "Establishes a community research agenda for sustainable computing infrastructure at a time when datacenter and edge energy consumption is under increasing regulatory and societal scrutiny." - title: "Toward Carbon-Aware Data Transfers" authors: - Jacob Goldverg - Hasibul Jamil - Elvis Rodrigues - Tevfik Kosar tldr: "Proposes scheduling and routing strategies for large-scale data transfers that minimize carbon emissions by leveraging time- and location-varying grid carbon intensity signals." why_notable: "Delivers a practical, implementable mechanism for reducing the carbon footprint of Internet data movement, directly applicable to data-intensive scientific and cloud workflows." - title: "Zero Trust-Driven Collaborative Intrusion Detection in Internet of Things: A Continuous Trust Assessment Approach" authors: - Xinxin Wang - Qingjun Yuan - Yongjuan Wang - Jihong Teng - Jing Tao - Meng Shen 0001 tldr: "Designs a collaborative intrusion detection system for IoT networks grounded in zero-trust principles, continuously reassessing device trust scores to isolate compromised nodes in real time." why_notable: "Demonstrates how zero-trust architectures can be operationalized at IoT scale, providing a concrete detection model with empirical evaluation on real traffic." - title: "Securing Voice Authentication Applications Against Targeted Data Poisoning" authors: - Alireza Mohammadi - Keshav Sood - Asef Nazari - Dhananjay R. Thiruvady tldr: "Identifies and mitigates targeted data poisoning attacks on voice authentication systems by detecting and filtering malicious training samples before model updates are applied." why_notable: "Highlights a practical and underexplored attack surface in biometric authentication services, with defenses validated against realistic adversarial scenarios." - title: "Characterization of Probabilistic Structure of Internet Traffic During COVID-19: A Study Based on MAWI Data" authors: - Anoushka Mittal - Pranav Jain - Karmeshu - Shachi Sharma tldr: "Applies statistical modeling to MAWI backbone traffic traces collected during COVID-19 to characterize shifts in Internet traffic distributions and identify new usage patterns." why_notable: "Provides rare longitudinal empirical evidence of how a major societal disruption altered Internet traffic structure, with implications for capacity planning and anomaly detection baselines." - title: "iGenEdge: Intelligent Generative AI Service Deployment for Edge-Connected IoT Devices" authors: - Faiza Akram - Asad Waqar Malik - Samee U. Khan tldr: "Proposes iGenEdge, a framework that intelligently partitions and deploys generative AI inference tasks across edge servers and IoT devices based on latency, energy, and model accuracy constraints." why_notable: "Addresses the critical engineering challenge of running large generative models close to IoT data sources, with practical placement algorithms and experimental validation." - title: "Smaller, Smarter, Closer: The Edge of Collaborative Generative Artificial Intelligence" authors: - Roberto Morabito - SiYoung Jang tldr: "Surveys strategies for deploying collaborative generative AI models at the network edge, covering model compression, offloading, and inter-device coordination techniques." why_notable: "Gives a clear-eyed assessment of where edge generative AI stands today and what infrastructure advances are needed, serving as a practical guide for edge platform designers." - title: "Memory-Augmented Autoencoder with Reservoir Computing for Edge-Based Anomaly Detection in Autonomous Systems" authors: - Fabiha Nowshin - Zheng Dong 0002 - Yang Yi 0002 tldr: "Combines a memory-augmented autoencoder with reservoir computing to detect anomalies in autonomous system sensor streams directly on resource-constrained edge hardware." why_notable: "Demonstrates strong anomaly detection accuracy under tight edge compute budgets, making it directly relevant to safety-critical IoT and autonomous vehicle deployments." - title: "Ship-to-Shore Network Monitoring: The Research Vessel Sikuliaq Experience" authors: - Komal Thareja - Anirban Mandal - Julian Race - Paul Ruth - Christopher Romsos - Ewa Deelman tldr: "Presents a real-world case study of continuous network monitoring for a research vessel operating over satellite links, characterizing link quality, disruptions, and measurement methodology." why_notable: "Offers rare empirical data on challenged maritime Internet connectivity, informing the design of resilient monitoring and science workflows for remote and mobile environments." - title: "Think Locally, Act Globally: A Programming Model for Decentralized Applications" authors: - Julian Haas - Christian Kuessner - Ragnar Mogk - Mira Mezini tldr: "Introduces a programming model that lets developers write local per-node logic while the runtime automatically enforces global consistency and coordination across a decentralized application." why_notable: "Tackles the fundamental complexity of building correct decentralized Internet applications, offering a principled abstraction that could reduce the gap between distributed systems theory and practice."