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.

翻译：未来蜂窝网络将在包含物联网设备及用于本地通信与分布式处理的子网络的网络生态系统中可持续地融合计算、智能与服务。这种融合形成了物联网-边缘-云连续体，支持跨连续体的机会性任务卸载，从而增强网络性能、缩短响应时间，并实现灵活的资源分配，使系统能够根据需求进行扩展。未来网络还应原生支持关键性、时间敏感型垂直应用的确定性服务水平。本文针对物联网-边缘-云连续体中的通信与计算资源联合管理，提出了一种确定性任务卸载与资源分配方案。该方案在任务执行延迟最小化的优先级上，更强调在截止时间前完成任务。该方案通过更高效地管理计算与通信资源，利用任务间灵活延迟的特性来支持更多任务，从而更好地适应资源受限的场景。