research-article

JTangCMS

Authors:

Shuiguang Deng,

Huiqun YuAuthors Info & Claims

Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Volume 370, Issue C

Pages 402 - 423

https://doi.org/10.1016/j.ins.2016.06.009

Published: 20 November 2016 Publication History

Abstract

Cloud computing has attracted increasing interest in industry and academia. However, due to the constantly expanding scale of cloud platforms, the monitoring of clouds encounters a number of critical challenges related to flexibility, scalability, efficiency, and performance. In this paper, we present JTang Cloud Monitoring System (JTangCMS), an efficient monitoring system for cloud platforms. Our contributions cover the collection, delivery, and processing of monitoring data. For data collection, a flexible and scalable agent is implemented with pluggable monitoring components to collect runtime information from different entities. For data delivery, an efficient and robust data dissemination framework is implemented to transmit the runtime information reliably with high throughput and low latency, based on the Data Distribution Service (DDS). For data processing, a cloud action platform is developed to support cloud management decision-making, based on complex event processing (CEP). Finally, detailed experimental evaluations show the feasibility and efficiency of JTangCMS.

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Cited By

Birje MBulla C(2022)Improved Data-Driven Root Cause Analysis in a Fog Computing EnvironmentInternational Journal of Intelligent Information Technologies10.4018/IJIIT.29623818:1(1-28)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.4018/IJIIT.296238
Ortiz GZouai MKazar OGarcia-de-Prado ABoubeta-Puig J(2022)AtmosphereComputer Standards & Interfaces10.1016/j.csi.2021.10355079:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.csi.2021.103550
Huang SJia ZFan YFeng THe TBai SWu Z(2019)Internet of ServiceProceedings of the 4th International Conference on Crowd Science and Engineering10.1145/3371238.3371262(154-160)Online publication date: 18-Oct-2019
https://dl.acm.org/doi/10.1145/3371238.3371262
Show More Cited By

JTangCMS
1. General and reference
  1. Cross-computing tools and techniques
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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Published In

cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 370, Issue C

November 2016

783 pages

ISSN:0020-0255

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Copyright © Elsevier Inc.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 20 November 2016

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Cited By

Birje MBulla C(2022)Improved Data-Driven Root Cause Analysis in a Fog Computing EnvironmentInternational Journal of Intelligent Information Technologies10.4018/IJIIT.29623818:1(1-28)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.4018/IJIIT.296238
Ortiz GZouai MKazar OGarcia-de-Prado ABoubeta-Puig J(2022)AtmosphereComputer Standards & Interfaces10.1016/j.csi.2021.10355079:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.csi.2021.103550
Huang SJia ZFan YFeng THe TBai SWu Z(2019)Internet of ServiceProceedings of the 4th International Conference on Crowd Science and Engineering10.1145/3371238.3371262(154-160)Online publication date: 18-Oct-2019
https://dl.acm.org/doi/10.1145/3371238.3371262
Alves Lima PSa Barreto Neto ARomero Martins Maciel P(2018)Data Centers Service Restoration Based on Distributed Agents Decision2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2018.00279(1611-1616)Online publication date: 7-Oct-2018
https://dl.acm.org/doi/10.1109/SMC.2018.00279

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