Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866910139806646272 |
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| author | Aghababaiyan, Keyvan Coll-Perales, Baldomero Gozalvez, Javier |
| author_facet | Aghababaiyan, Keyvan Coll-Perales, Baldomero Gozalvez, Javier |
| contents | Future cellular networks will sustainably integrate computing, intelligence and services within a network of networks ecosystem that includes IoT devices and subnetworks for local communications and distributed processing. This integration creates an IoT-edge-cloud continuum that enables opportunistic task offloading across the continuum, enhancing network performance, reducing response times and allowing a flexible resource allocation that can facilitate the system to scale according to demand. Future networks should also natively support deterministic service levels for critical and time-sensitive vertical applications. In this paper, we propose a deterministic task offloading and resource allocation scheme for the joint management of communication and computing resources in the IoT-edge-cloud continuum. The proposed scheme prioritizes task completion before deadlines over minimizing the latency in the execution of individual tasks. The scheme leverages flexible latencies across tasks to support a higher number of tasks through a more efficient management of computing and communication resources that better adapts to scenarios with constrained resources. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_16155 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum Aghababaiyan, Keyvan Coll-Perales, Baldomero Gozalvez, Javier Networking and Internet Architecture Future cellular networks will sustainably integrate computing, intelligence and services within a network of networks ecosystem that includes IoT devices and subnetworks for local communications and distributed processing. This integration creates an IoT-edge-cloud continuum that enables opportunistic task offloading across the continuum, enhancing network performance, reducing response times and allowing a flexible resource allocation that can facilitate the system to scale according to demand. Future networks should also natively support deterministic service levels for critical and time-sensitive vertical applications. In this paper, we propose a deterministic task offloading and resource allocation scheme for the joint management of communication and computing resources in the IoT-edge-cloud continuum. The proposed scheme prioritizes task completion before deadlines over minimizing the latency in the execution of individual tasks. The scheme leverages flexible latencies across tasks to support a higher number of tasks through a more efficient management of computing and communication resources that better adapts to scenarios with constrained resources. |
| title | Deterministic Task Offloading and Resource Allocation in the IoT-Edge-Cloud Continuum |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2604.16155 |