Improving Quality of Service in cloud computing architecture using Fuzzy Logic

被引：0

作者：

Mondal, Himadri Shekhar ^{[1
]}

Hasan, Md. Tariq ^{[1
]}

Karmokar, Taposh Kumar ^{[1
]}

Sarker, Shamlendu ^{[1
]}

机构：

[1] Khulna Univ, Elect & Commun Engn Discipline, Khulna, Bangladesh

来源：

2017 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE) | 2017年

关键词：

Cloud Computing; Fuzzy logic; Quality of Service; SYSTEMS; NETWORKS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cloud computing has now become a part and parcel in our life. Most of tech solution is now based on cloud computing. In the cloud computing Quality of Service (QoS) has become an important factor for the cloud service providers as well as the cloud developer engineers. In this paper we have used Fuzzy logic to improve cloud computing Quality of Service (QoS). Here we considered speed of processor and imposed load as input and balancing load as output. We applied Fuzzy IF-THEN rule to establish a relation among them. We focused on load balancing in the cloud computing architecture based on Fuzzy logic.

引用

页码：149 / 152

页数：4

共 15 条

[1] On Cloud computational models and the heterogeneity challenge [J].