CloudSeer

Author:

Yu Xiao1,Joshi Pallavi2,Xu Jianwu2,Jin Guoliang1,Zhang Hui2,Jiang Guofei2

Affiliation:

1. North Carolina State University, Raleigh, NC, USA

2. NEC Laboratories America, Princeton, NJ, USA

Abstract

Cloud infrastructures provide a rich set of management tasks that operate computing, storage, and networking resources in the cloud. Monitoring the executions of these tasks is crucial for cloud providers to promptly find and understand problems that compromise cloud availability. However, such monitoring is challenging because there are multiple distributed service components involved in the executions. CloudSeer enables effective workflow monitoring. It takes a lightweight non-intrusive approach that purely works on interleaved logs widely existing in cloud infrastructures. CloudSeer first builds an automaton for the workflow of each management task based on normal executions, and then it checks log messages against a set of automata for workflow divergences in a streaming manner. Divergences found during the checking process indicate potential execution problems, which may or may not be accompanied by error log messages. For each potential problem, CloudSeer outputs necessary context information including the affected task automaton and related log messages hinting where the problem occurs to help further diagnosis. Our experiments on OpenStack, a popular open-source cloud infrastructure, show that CloudSeer's efficiency and problem-detection capability are suitable for online monitoring.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference32 articles.

1. 2013 Path to an OpenStack-Powered Cloud Survey Results Highlight Aggressive OpenStack Adoption Plans by Enterprises. http://www.redhat.com/en/about/press-releases/2013-path-to-an-openstack-powered-cloud-survey-results-highlight-aggressive-openstack-adoption-plans-by-enterprises. 2013 Path to an OpenStack-Powered Cloud Survey Results Highlight Aggressive OpenStack Adoption Plans by Enterprises. http://www.redhat.com/en/about/press-releases/2013-path-to-an-openstack-powered-cloud-survey-results-highlight-aggressive-openstack-adoption-plans-by-enterprises.

2. Amazon CloudWatch. https://aws.amazon.com/cloudwatch/. Amazon CloudWatch. https://aws.amazon.com/cloudwatch/.

3. Amazon Elastic Compute Cloud. http://aws.amazon.com/ec2/. Amazon Elastic Compute Cloud. http://aws.amazon.com/ec2/.

4. Apache HTrace. http://htrace.incubator.apache.org/. Apache HTrace. http://htrace.incubator.apache.org/.

5. Architecture. OpenStack Installation Guide http://docs.openstack.org/havana/install-guide/install/apt/content/ch_overview.html. Architecture. OpenStack Installation Guide http://docs.openstack.org/havana/install-guide/install/apt/content/ch_overview.html.

Cited by 89 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3