云计算环境下一种改进的高效动态负载均衡方法

Q4 Social Sciences
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引用次数: 0

摘要

云计算环境(CCE)是IT行业新兴的基础知识。这些问题的核心在于主动LB算法的建立。网络负载可以是CPU负载、内存限制、延迟或系统负载。在该算法中,负载均衡是通过考虑优先级策略来实现的。提出了一种高效、动态的云计算负载平衡方法(EDBA-CC),并在CloudSim (CS)上执行了相关算法。考虑到资源利用率(resource Utilization, RU)的资源分配方法将导致更好的能源效率。实验结果表明了该算法的有效性。结果表明,EDBA-CC算法降低了响应时间(RT)。当指令长度为275字节时,RT下降约2.23 ms,当指令长度为2000字节时,RT下降更为明显,分别为10.12 ms和5.54 ms。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved And Efficient And Dynamic Load Balancing Approach In Cloud Computing Environment
Cloud Computing Environment (CCE) is a newly rudimentary knowledge in the IT industry. Central to these problems lies in the establishment of an active LB algorithm. The network load can be CPU load, memory limit, postponement, or system load. In the proposed algorithm, Load Balancing (LB) done by considering priority policy. An Efficient and Dynamic Load Balancing Approach in Cloud Computing (EDBA-CC) proposed, and the related algorithm executed on CloudSim (CS). A resource allocation approach that takes into account Resource Utilization (RU) would lead to better energy efficiency. The outcomes indicate the effectiveness of the proposed algorithm. The outcomes exhibited that the EDBA-CC algorithm reduced Response Time (RT). The decreasing in RT is about 2.23 ms when the instruction length was 275 Byte, and the decreasing became more obviously with 10.12 ms for RT and 5.54 ms for RT when the instruction length was 2000 Byte.
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CiteScore
0.60
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发文量
196
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