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

机译:基于模糊逻辑的学习方法的迁移方案研究云计算QoS的迁移方案

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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:迁移有助于云计算环境中有效的资源管理。因此,迁移用于许多领域,例如云数据中心(CDC)中的负载平衡。然而,以前的大多数研究已经集中在最小化迁移时间。此外,以前的作品通常没有考虑QoS指标之间的平衡。由于指标余额的重要性,我们必须考虑结合多个指标。本文介绍了基于模糊逻辑的迁移和建议迁移方案的QoS度量。本文的主要目标是为先进迁移应用模糊逻辑和机器学习技术。

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