Low overhead performance monitoring for shared infrastructures

Author:

Popiolek Pedro Freire,Machado Karina dos Santos,Mendizabal Odorico Machado

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Alam, S. R., Barrett, R. F., Kuehn, J. A., Roth, P. C., & Vetter, J. S. (2006). Characterization of scientific workloads on systems with multi-core processors. In Workload Characterization, 2006 IEEE International Symposium on IEEE International Symposium on Workload Characterization, 2006 (pp. 225–236).

2. Alves, M. M., & Drummond, L. M. d. A. (2016). A quantitative model for predicting cross-application interference in virtual environments. arXiv preprint arXiv:1610.04309.

3. Amazon (2020). Amazon EC2 CloudWatch. http://aws.amazon.com/cloudwatch/ (accessed November 1, 2020).

4. Monitoring of IaaS and scientific applications on the cloud using the elasticsearch ecosystem;Bagnasco;Journal of Physics: Conference Series,2015

5. Hardware support for performance measurements and energy estimation of OpenRISC processor;Bara,2015

Cited by 5 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

1. An Analytical Review of VM Allocation and Migration Policies in Cloud Computing;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05

2. Towards Solving the Challenge of Minimal Overhead Monitoring;Companion of the 2023 ACM/SPEC International Conference on Performance Engineering;2023-04-15

3. Monitoring fog computing: A review, taxonomy and open challenges;Computer Networks;2022-10

4. VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures;Advanced Information Networking and Applications;2022

5. Prediction of resource contention in cloud using second order Markov model;Computing;2021-06-14

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