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site/data/cloud-edge/papers/IC-2025-digest.yaml
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site/data/cloud-edge/papers/IC-2025-digest.yaml
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venue: IC
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year: 2025
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selected:
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- title: "Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum"
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authors:
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- Ella Peltonen
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- Suzan Bayhan
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- David Bermbach
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- Sebastian Buschjäger
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- Victoria Degeler
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- Aaron Yi Ding
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- Özlem Durmaz Incel
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- Dewant Katare
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- Mikkel Baun Kjærgaard
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- Sam Leroux
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- Toktam Mahmoodi
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- Zoltán Ádám Mann
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- Nirvana Meratnia
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- Andy D. Pimentel
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- Jan S. Rellermeyer
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- Etienne Rivière
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- Dolly Sapra
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- Gürkan Solmaz
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- Bram van der Waaij
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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."
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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."
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- title: "Toward Carbon-Aware Data Transfers"
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authors:
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- Jacob Goldverg
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- Hasibul Jamil
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- Elvis Rodrigues
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- Tevfik Kosar
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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."
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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."
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- title: "Zero Trust-Driven Collaborative Intrusion Detection in Internet of Things: A Continuous Trust Assessment Approach"
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authors:
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- Xinxin Wang
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- Qingjun Yuan
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- Yongjuan Wang
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- Jihong Teng
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- Jing Tao
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- Meng Shen 0001
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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."
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why_notable: "Demonstrates how zero-trust architectures can be operationalized at IoT scale, providing a concrete detection model with empirical evaluation on real traffic."
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- title: "Securing Voice Authentication Applications Against Targeted Data Poisoning"
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authors:
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- Alireza Mohammadi
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- Keshav Sood
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- Asef Nazari
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- Dhananjay R. Thiruvady
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tldr: "Identifies and mitigates targeted data poisoning attacks on voice authentication systems by detecting and filtering malicious training samples before model updates are applied."
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why_notable: "Highlights a practical and underexplored attack surface in biometric authentication services, with defenses validated against realistic adversarial scenarios."
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- title: "Characterization of Probabilistic Structure of Internet Traffic During COVID-19: A Study Based on MAWI Data"
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authors:
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- Anoushka Mittal
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- Pranav Jain
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- Karmeshu
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- Shachi Sharma
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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."
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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."
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- title: "iGenEdge: Intelligent Generative AI Service Deployment for Edge-Connected IoT Devices"
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authors:
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- Faiza Akram
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- Asad Waqar Malik
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- Samee U. Khan
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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."
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why_notable: "Addresses the critical engineering challenge of running large generative models close to IoT data sources, with practical placement algorithms and experimental validation."
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- title: "Smaller, Smarter, Closer: The Edge of Collaborative Generative Artificial Intelligence"
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authors:
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- Roberto Morabito
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- SiYoung Jang
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tldr: "Surveys strategies for deploying collaborative generative AI models at the network edge, covering model compression, offloading, and inter-device coordination techniques."
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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."
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- title: "Memory-Augmented Autoencoder with Reservoir Computing for Edge-Based Anomaly Detection in Autonomous Systems"
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authors:
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- Fabiha Nowshin
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- Zheng Dong 0002
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- Yang Yi 0002
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tldr: "Combines a memory-augmented autoencoder with reservoir computing to detect anomalies in autonomous system sensor streams directly on resource-constrained edge hardware."
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why_notable: "Demonstrates strong anomaly detection accuracy under tight edge compute budgets, making it directly relevant to safety-critical IoT and autonomous vehicle deployments."
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- title: "Ship-to-Shore Network Monitoring: The Research Vessel Sikuliaq Experience"
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authors:
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- Komal Thareja
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- Anirban Mandal
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- Julian Race
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- Paul Ruth
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- Christopher Romsos
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- Ewa Deelman
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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."
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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."
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- title: "Think Locally, Act Globally: A Programming Model for Decentralized Applications"
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authors:
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- Julian Haas
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- Christian Kuessner
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- Ragnar Mogk
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- Mira Mezini
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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."
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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."
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