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云资源状态监控研究综述

洪斌 彭甫阳 邓波 王东霞

计算机应用与软件2016,Vol.33Issue(6):1-6,12,7.
计算机应用与软件2016,Vol.33Issue(6):1-6,12,7.DOI:10.3969/j.issn.1000-386x.2016.06.001

云资源状态监控研究综述

A SURVEY ON STATE MONITORING OF COMPUTATIONAL RESOURCES IN CLOUD

洪斌 1彭甫阳 1邓波 1王东霞2

作者信息

  • 1. 北京系统工程研究所 北京 100101
  • 2. 信息系统安全技术重点实验室 北京 100101
  • 折叠

摘要

Abstract

Cloud computing successfully achieves the efficient use of computational resources through internet sharing.The characteristics of cloud resources allocation such as the dynamics property,randomness and openness make the difficulty in QoS (Quality of Service ) assurance be increasingly noticeable.Through mining and analysing in depth the monitoring data,the monitoring technologies for resource state in cloud environment find timely the abnormal operation states in those computational resources,and make the prediction on resources usage state in the future according to historical operation data so as to timely discover potential performance bottlenecks and security threats, these provide the reliable and stable cloud services to users.In combination with instances,in the paper we introduce some representative research approaches in regard to resources states monitoring,including probability analysis,equation fitting and clustering analysis,etc.,and compare the performance features and limitations of different methods.In end of the paper,we discuss the technical challenges encountered by the monitoring technologies for cloud resource states in the aspects of data complexity and scale,and point out the future development trend such as redundancy removal and dimensionality reduction of primitive data,non-supervision highlighting in algorithm design and analysis, pushing the computational tasks to terminals,and synergies of analysis results,etc.

关键词

云计算/虚拟资源/状态监控

Key words

Cloud computing/Virtualised resources/State monitoring

分类

信息技术与安全科学

引用本文复制引用

洪斌,彭甫阳,邓波,王东霞..云资源状态监控研究综述[J].计算机应用与软件,2016,33(6):1-6,12,7.

基金项目

国家自然科学基金项目(61271252);国家高技术研究发展计划项目(2013AA01A215)。 ()

计算机应用与软件

OACSTPCD

1000-386X

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