雲端計算系統的元啟發式負載平衡器
A Meta-Heuristic Load Balancer for Cloud Computing Systems
November 13, 2025
作者: Leszek Sliwko, Vladimir Getov
cs.AI
摘要
本文提出一種雲端系統服務配置策略,該策略能在避免節點超載的同時維持系統穩定性,並實現成本最小化。我們建立了雲端資源利用的抽象模型,該模型涵蓋多類資源並考量服務遷移成本。研究展示了一種原型元啟發式負載均衡器,並對實驗結果進行闡述與討論。此外,我們提出一種新穎的遺傳演算法,其初始族群是透過其他元啟發式演算法的輸出結果進行播種生成。
English
This paper presents a strategy to allocate services on a Cloud system without overloading nodes and maintaining the system stability with minimum cost. We specify an abstract model of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. A prototype meta-heuristic load balancer is demonstrated and experimental results are presented and discussed. We also propose a novel genetic algorithm, where population is seeded with the outputs of other meta-heuristic algorithms.