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Study on a migration scheme by fuzzy-logic-based learning and decision approach for QoS in cloud computing

机译:云计算中基于QoS的基于模糊逻辑学习决策的迁移方案研究

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Migration contributes to efficient resource management in cloud computing environment. Therefore, migration is used in many areas such as load balancing in Cloud Data Centers (CDCs). However, most of the previous research has concentrated on minimization of migration time. Also, previous works generally did not consider balance between QoS metrics. Due to importance of balance of metrics, we have to consider combining multiple metrics. In this paper, we present QoS metrics of migration and proposed migration scheme based on fuzzy logic. The main goal of this paper is to apply fuzzy logic and machine learning technique for advanced migration.
机译:迁移有助于在云计算环境中进行有效的资源管理。因此,迁移被用于许多领域,例如云数据中心(CDC)中的负载平衡。但是,以前的大多数研究都集中在最小化迁移时间上。同样,先前的工作通常不考虑QoS指标之间的平衡。由于指标平衡的重要性,我们必须考虑组合多个指标。在本文中,我们提出了迁移的QoS指标,并提出了基于模糊逻辑的迁移方案。本文的主要目标是将模糊逻辑和机器学习技术应用于高级迁移。

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