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publish-assistant/site/data/papers/IC-2025-digest.yaml
2026-04-26 12:57:40 +00:00

108 lines
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YAML

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."