Geometrized Task Scheduling and Adaptive Resource Allocation for Large-Scale Edge Computing in Smart Cities
This paper proposes a novel framework that transforms large-scale task scheduling problems into geometric region partitioning problems, combines Tetris-like task offloading strategies with adaptive resource allocation algorithms, effectively solving task scheduling and resource allocation challenges in large-scale edge computing for smart cities. Experimental results show that this method significantly reduces task deadline violation rates, achieving more than 20-fold performance improvement compared to existing solutions.
Jan 2, 2025
