Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68382
Title: Cognitive visual analytics of multi-dimensional cloud system monitoring data
Authors: Baciu, G 
Wang, YZ 
Li, CH 
Keywords: Cloud computing
Monitoring
Multi-dimensional
Visualization
Analysis
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Palo Alto, CA, 2016, p. 310-315 How to cite?
Abstract: 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.
Description: 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Palo Alto, Stanford Univ, Stanford, CA, 22-23 Aug 2016
URI: http://hdl.handle.net/10397/68382
ISBN: 978-1-5090-3846-6 (electronic)
978-1-5090-3845-9 (CD-ROM)
978-1-5090-3847-3 (print on demand(PoD))
DOI: 10.1109/ICCI-CC.2016.7862053
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