云计算系统的元启发式负载均衡器

摘要

本文提出一种云系统服务分配策略，该策略可在避免节点过载的同时维持系统稳定，并实现成本最小化。我们构建了包含多类资源的云资源利用抽象模型，同时考虑了服务迁移成本因素。研究展示了一个原型元启发式负载均衡器，呈现并讨论了相关实验结果。此外，本文创新性地提出一种遗传算法，该算法通过其他元启发式算法的输出结果进行种群初始化。

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.

云计算系统的元启发式负载均衡器

A Meta-Heuristic Load Balancer for Cloud Computing Systems

摘要

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