JTangCMS: An efficient monitoring system for cloud platforms

  • Xingjian Lu
  • , Jianwei Yin*
  • , Neal N. Xiong
  • , Shuiguang Deng
  • , Gaoqi He
  • , Huiqun Yu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

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.

Original languageEnglish
Pages (from-to)402-423
Number of pages22
JournalInformation Sciences
Volume370-371
DOIs
StatePublished - 20 Nov 2016
Externally publishedYes

Keywords

  • Cloud monitoring
  • Complex event processing
  • Data distribution service

Fingerprint

Dive into the research topics of 'JTangCMS: An efficient monitoring system for cloud platforms'. Together they form a unique fingerprint.

Cite this