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20212026
most citedEDGF: Empirical dataset generation framework for wireless network networks

97 citations · 203 across the 35 of their papers we have counts for

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Showing 2026Show all

13 papers · 1 filter

cs.DC2026

User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling

Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1

Growing demand for artificial intelligence (AI) inference services requires scalable infrastructure, yet centralized serving costs rise with demand. We propose a collaborative dist…

cs.DC2026

A Taxonomy of Performance Metrics for the Distributed Computing Continuum

Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis +6

Performance evaluation is essential for understanding, comparing, and improving computing systems, including Distributed Computing Continuum Systems (DCCS). In recent years, comput…

cs.AI2026

Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4

We are moving from an information age to the age of intelligence. A decade, or possibly less than that, data will not be the gold anymore rather the derived intelligence out of the…

cs.NI2026

ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

Ashit Kumar Subudhi, Bhargav Chirumamilla, Shubham Vaishnav +5

Dynamic traffic variations in Open Radio Access Networks (O-RAN) lead to drift, which degrades the performance of Artificial Intelligence/Machine Learning (AI/ML) models. Tradition…

cs.DC2026

Predictive RTO for CoAP using Lightweight Support Vector Regression in Internet of Things

Tobias Hansson, Praveen Kumar Donta

Internet of Things (IoT) networks require lightweight application layer messaging, and CoAP is an option because it supports REST-style interactions over UDP on constrained devices…

cs.DC2026

An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum

Suvi De Silva, Alfreds Lapkovskis, Alaa Saleh +2

Grey failures in the computing continuum produce ambiguous overlapping symptoms that existing approaches fail to diagnose reliably, either due to a lack of causal awareness or acti…

cs.GT2026

Credibility Trilemma in Polymatroidal Service Markets

Lauri Lovén, Sujit Gujar, Kalle Timperi +4

Mechanism-mediated service markets with polymatroidal feasibility admit efficient, dominant-strategy incentive-compatible (DSIC) allocation, but these guarantees implicitly assume…

cs.DC2026

Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum

Akuen Akoi Deng, Eimantas Butkus, Alfreds Lapkovskis +1

In recent years, the use of artificial intelligence on resource-constrained IoT devices has grown significantly. However, existing approaches to AI task partitioning and offloading…

cs.DC2026

NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum

Peihan Ye, Alfreds Lapkovskis, Alaa Saleh +2

The computational demands of modern AI services are increasingly shifting execution beyond centralized clouds toward a computing continuum spanning edge and end devices. However, t…

cs.DC2026

LLM-assisted Agentic Edge Intelligence Framework

Chinmaya Kumar Dehury, Siddharth Singh Kushwaha, Qiyang Zhang +2

Edge intelligence delivers low-latency inference, yet most edge analytics remain hard-coded and must be redeployed as conditions change. When data patterns shift or new questions a…

cs.AI2026

Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture

Lauri Lovén, Alaa Saleh, Reza Farahani +5

Autonomous AI agents are becoming economic actors. They compose deadline-bound services across the device-edge-cloud continuum and contend for capacity no single operator owns. Thi…

cs.DC2026★ 1 cited

Service Orchestration in the Computing Continuum: Structural Challenges and Vision

Boris Sedlak, Víctor Casamayor Pujol, Ildefons Magrans de Abril +3

The Computing Continuum (CC) integrates different layers of processing infrastructure, from Edge to Cloud, to optimize service quality through ubiquitous and reliable computation.…

cs.AI2026★ 2 cited

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems

Alaa Saleh, Praveen Kumar Donta, Roberto Morabito +6

Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function through self-healing.…