📄 论文总结
一种用于云计算系统的元启发式负载均衡器 / A Meta-Heuristic Load Balancer for Cloud Computing Systems
1️⃣ 一句话总结
这篇论文提出了一种新的智能负载均衡方法,通过结合遗传算法和其他优化技术来高效分配云服务,在保证系统稳定性的同时降低成本。
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.
一种用于云计算系统的元启发式负载均衡器 / A Meta-Heuristic Load Balancer for Cloud Computing Systems
这篇论文提出了一种新的智能负载均衡方法,通过结合遗传算法和其他优化技术来高效分配云服务,在保证系统稳定性的同时降低成本。