Cognitive visual analytics of multi-dimensional cloud system monitoring data

George Baciu, Yunzhe Wang, Chenhui Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Hardware virtualization has enabled large scale computational service delivery models with significant cost leverage and has improved resource utilization of cloud computing platforms. This has completely changed the landscape of computing in the last decade. It has enabled very large-scale data analytics through distributed, high performance computing. However, due to the infrastructure complexity, end-users and administrators of cloud platforms can rarely obtain a complete picture of the state of cloud computing systems and data centers. Recent monitoring tools enable users to obtain large amounts of data with respect to many utilization parameters of cloud platforms. However, they often fall short of maximizing the overall insight into the resource utilization dynamics of cloud platforms. Furthermore, existing tools make it difficult to observe large scale patterns making it difficult to learn from the past behavior of cloud system dynamics. New operating platforms for cloud management and service provisioning allow live migration and dynamic resource re-allocation at multiple levels of the hardware virtualization layers. Hence, it has become necessary to provide cognitive visualizing tools for monitoring the activities in an active cloud environment. In this work, we describe a perceptual-based interactive visualization platform that gives users and administrators a cognitive view of cloud computing system dynamics. We define machine states and aggregate states at multiple levels of detail to construct a multiview presentation of the resource utilization according to the scalability and the elasticity features of a cloud computing system.
Original languageEnglish
Title of host publicationProceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016
Number of pages6
ISBN (Electronic)9781509038466
Publication statusPublished - 21 Feb 2017
Event15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 - Stanford University, Stanford, United States
Duration: 22 Aug 201623 Aug 2016


Conference15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016
Country/TerritoryUnited States


  • Analysis
  • Cloud computing
  • Monitoring
  • Multi-dimensional
  • Visualization

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Software
  • Computer Vision and Pattern Recognition
  • Information Systems

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