BANS-based Cloud Resources Monitoring System

被引：1

作者：

Sun, Peng ^{[1
]}

Wu, Demiao ^{[1
]}

Wei, Kaiming ^{[1
]}

Guo, Xun ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Engn & Comp Sci, Chengdu, Peoples R China

来源：

2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2015年

关键词：

Cloud Computing; Resource Monitoring; Bionic Autonomic Nervous System; BANS;

D O I：

10.1109/ISCID.2015.85

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As one recently developed technology, cloud computing is differ in various aspects with distributed computing and grid computing. Traditional monitoring system designed for the gird computing or distributed system is not suitable for the platform of cloud computing. And we have proposed a bionic autonomic nervous system (BANS)-based cloud resource monitoring model to deals with the common issues of scalability and flexibility with monitoring system as well as support autonomy. The autonomy provides an efficient design that enables our monitoring system to both disperse pressure of primary monitoring node on data processing and reduce the network traffic load. Experimental evidence is presented that the BANS-based cloud resource monitoring system has a good performance. And it has been successfully deployed in Collaborative Autonomic Computing Laboratory cloud platform.

引用

页码：445 / 448

页数：4