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Mobile Visual Analytics for Datacenter Power and Cooling Management

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 35)

Abstract

The demand for data center solutions with lower total cost of ownership and lower complexity of management is driving the creation of next generation datacenters. The information technology industry is in the midst of a transformation to lower the cost of operation through consolidation and better utilization of critical data center resources. Successful consolidation necessitates increasing utilization of capital intensive “always-on” data center infrastructure, reduction in the recurring cost of power and management of physical resources. In this paper, we describe a tool that allows the data center facility managers and administrators to view and analyze the Key Performance Indicators (KPIs) associated with their data centers using pixel cell-based [10,11] visual analytics. The basic idea of our technique is to use the smallest element in the display to present the detailed information of the poser and thermal data records. Administrators can quickly recognize the patterns, trends, and anomalies. Furthermore, we discuss case studies of mobile visual analytics for energy and thermal state monitoring utilizing data from a rich sensor network.

Keywords

  • Visual Analytics
  • Sensors
  • Data center
  • Thermal Management
  • Data mining

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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Sharma, R. et al. (2010). Mobile Visual Analytics for Datacenter Power and Cooling Management. In: Phan, T., Montanari, R., Zerfos, P. (eds) Mobile Computing, Applications, and Services. MobiCASE 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12607-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-12607-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12606-2

  • Online ISBN: 978-3-642-12607-9

  • eBook Packages: Computer ScienceComputer Science (R0)