Title
Cognitive visual analytics of multi-dimensional cloud system monitoring data.
Abstract
Hardware virtualization has enabled large scale computational service delivery models with high cost leverage and improved resource utilization on cloud computing platforms. This has completely changed the landscape of computing in the last decade. It has also enabled large-scale data analytics through distributed high performance computing. Due to the infrastructure complexity, end-users and administrators of cloud platforms can rarely obtain a full 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 fail to get the maximal 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. In this work, the authors describe a perceptual-based interactive visualization platform that gives users and administrators a cognitive view of cloud computing system dynamics.
Year
DOI
Venue
2017
10.4018/IJSSCI.2017010102
International Journal of Software Science and Computational Intelligence
Keywords
DocType
Volume
cloud computing, monitoring, multi-dimensional, visualization, analysis
Journal
9
Issue
ISSN
ISBN
1
1942-9045
978-1-5090-3847-3
Citations 
PageRank 
References 
0
0.34
18
Authors
3
Name
Order
Citations
PageRank
George Baciu140956.17
Yunzhe Wang253.80
Chenhui Li32711.16