most citedDeterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Stochastic End-to-End Latency Modeling of the IoT-Edge-Cloud Continuum: Impact of Jitter and Traffic Variability on Deterministic Service Provisioning

Keyvan Aghababaiyan, Javier Gozalvez, Baldomero Coll-Perales

6G will integrate communication and computing capabilities in a IoT-edge-cloud continuum, enabling nodes to distribute workloads across the continuum. To support time-sensitive ser…

cs.NI2026

Execution Timing Control for Deterministic Task Offloading in the IoT-Edge-Cloud Continuum

Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez

Latency-critical IoT applications, such as autonomous mobility and industrial automation, require deterministic guarantees to ensure that tasks are completed within strict deadline…

cs.NI2026★ 1 cited

Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum

Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez

Future cellular networks will sustainably integrate computing, intelligence and services within a network of networks ecosystem that includes IoT devices and subnetworks for local…

cs.NI2026

Deterministic Task Scheduling in In-Vehicle Networks for Software-Defined Vehicles

Keyvan Aghababaiyan, Baldomero Coll-Perales, Luca Lusvarghi +1

Modern vehicles are embedding increasing levels of automation, connectivity, and intelligence, which require advanced in-vehicle networks and computational platforms to support the…

cs.NI2026★ 1 cited

Scalable Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum

Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez

Future 6 G networks are envisioned as a network of networks (NoN) ecosystem, integrating communication and computing resources across multiple domains. At the deep edge, IoT and en…