Joint Optimization of Computation Offloading and Service Caching for Satellite Edge Networks

Le résumé fourni par la source

The limited onboard caching and computing resources significantly constrain the computational service capabilities of individual satellites in hotspot regions. To address this challenge, this paper proposes a joint optimization scheme for computation offloading and service caching under edge computing satellite service deployment and cache space constraints, aiming to minimize the energy-latency overhead for task completion. Specifically, the original non-convex problem is first transformed into a tractable convex formulation via variable relaxation. Subsequently, a distributed framework based on the Alternating Direction Method of Multipliers (ADMM) is developed to solve the reformulated problem, enabling collaborative optimization of computation offloading, service downloding, and service deleting across satellites. Furthermore, a constraint-preserving binary variable recovery algorithm is introduced to bridge continuous solutions with discrete actions. Simulation results demonstrate that the proposed scheme achieves lower task execution overhead and reduced packet loss rates compared to benchmark methods.

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