Int-FLBCC:基于二类模糊逻辑和允许顺序的云计算负载平衡模型

G. Schneider, Bruno M. P. Moura, A. Yamin, R. Reiser
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引用次数: 2

摘要

虚拟机的动态整合是提高云计算资源利用率和能效的有效途径,直接影响云计算的服务质量。本文提出了Int-FLBCC,这是一种探索2型模糊逻辑方法来解决确定资源使用的不确定性和不准确性的新方案,旨在以最小的性能下降来节省能源。在模拟云计算环境中的验证结果表明,IQR_XY和MAD_XY的能效分别提高了8.83%和22.43%。对于服务水平协议(SLA)的实现,MAD_XY达到的最佳值为9.06%,THR_Lex1达到25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Int-FLBCC: Model for Load Balancing in Cloud Computing using Fuzzy Logic Type-2 and Admissible Orders
Dynamic consolidation of virtual machines (VMs) is an effective way to improve resource utilization and power efficiency in cloud computing, directly affecting Quality of Service aspects. This paper presents Int-FLBCC, a new proposal with exploring a Type-2 Fuzzy Logic approach to address the uncertainties and inaccuracies in determining resource usage, aiming at energy savings with minimal performance degradation. Validation results in a simulated cloud computing environment showed improvements in energy efficiency of 8.83% with IQR_XY and 22.43% with MAD_XY. For fulfillment of Service Level Agreements (SLA), the best values achieved were 9.06% with MAD_XY and 25% of THR_Lex1.
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