3D Vizualization of Large Scale Data Centres

Giannis Drossis, Chryssi Birliraki, Nikolaos Patsiouras, George Margetis, Constantine Stephanidis


This paper reports on ongoing work regarding interactive 3D visualization of large scale data centres in the context of Big Data and data centre infrastructure management. The proposed approach renders a virtual area of real data centres preserving the actual arrangement of their servers and visualizes their current state while it notifies users for potential server anomalies. The visualization includes several condition indicators, updated in real time, as well as a color-coding scheme for the current servers’ condition referring to a scale from normal to critical. Furthermore, the system supports on demand exploration of an individual server providing detailed information about its condition, for a specific timespan, combining historical analysis of previous values and the prediction of potential future state. Additionally, natural interaction through hand-gestures is supported for 3D navigation and item selection, based on a computer-vision approach.


  1. Aggarwal, J., Ryoo, M., 2011. Human activity analysis: A review. ACM Comput. Surveys. 43.
  2. Andrae, A. S., & Edler, T. (2015). On Global Electricity Usage of Communication Technology: Trends to 2030. Challenges, 6(1), 117-157.
  3. Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314- 347.
  4. Chen, Z. (2012). Production system improvement: floor area reduction and visual management (Doctoral dissertation, Massachusetts Institute of Technology).
  5. Cole, D. (2012). Data center infrastructure management. Data Center Knowledge.
  6. Drossis, G., Grammenos, D., Birliraki, C., & Stephanidis, C. (2013). MAGIC: Developing a Multimedia Gallery Supporting mid-Air Gesture-Based Interaction and Control. In HCI International 2013-Posters' Extended Abstracts (pp. 303-307). Springer Berlin Heidelberg.
  7. Eaton C., Deroos D., Deutsch T., Lapis G. and Zikopoulos P. (2012), Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data.
  8. Harris, M., & Geng, H. (2015). Data Center Infrastructure Management. Data Center Handbook, 601-618.
  9. Gölitz, P., Struffert, T., Lücking, H., Rösch, J., Knossalla, F., Ganslandt, O., & Doerfler, A. (2013). Parametric color coding of digital subtraction angiography in the evaluation of carotid cavernous fistulas. Clinical neuroradiology, 23(2), 113-120.
  10. Keim, D., Qu, H., & Ma, K. L. (2013). Big-data visualization. Computer Graphics and Applications, IEEE, 33(4), 20-21.
  11. Koutamanis, A. (2000). Digital architectural visualization. Automation in Construction, 9(4), 347- 360.
  12. Kriglstein, S., Wallner, G., & Rinderle-Ma, S. (2013). A visualization approach for difference analysis of process models and instance traffic. InBusiness Process Management (pp. 219-226). Springer Berlin Heidelberg.
  13. LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT sloan management review, 52(2), 21.
  14. Lawler, M. E. (2010). Improving shop floor visualization and metrics (Doctoral dissertation, Massachusetts Institute of Technology).
  15. Lazovik, A., Kaldeli, E., Lazovik, E., & Aiello, M. (2009). Planning in a smart home: visualization and simulation. In Application Showcase Proceedings of the 19th (ICAPS) Int. Conf. Automated Planning and Scheduling.
  16. LeanBigData - Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics, Funded by FP7 ICT 619606, 2014-2017, http://leanbigdata.eu/, http://cordis.europa.eu/project/rcn/191643_en.html (last accessed on 21/1/2016).
  17. Lozada, C., & De la Rosa, R. (2014, June). Simulation platform for domotic systems. In Communications and Computing (COLCOM), 2014 IEEE Colombian Conference on (pp. 1-6). IEEE.
  18. Michel, D., Papoutsakis, K., & Argyros, A. A. (2014). Gesture recognition supporting the interaction of humans with socially assistive robots. In Advances in Visual Computing (pp. 793-804). Springer International Publishing.
  19. Moore, J., Chase, J., Farkas, K., & Ranganathan, P. (2005, February). Data center workload monitoring, analysis, and emulation. In Eighth Workshop on Computer Architecture Evaluation using Commercial Workloads.
  20. Moore, J., Chase, J. S., & Ranganathan, P. (2006, June). Weatherman: Automated, online and predictive thermal mapping and management for data centers. In Autonomic Computing, 2006. ICAC'06. IEEE International Conference on (pp. 155-164). IEEE.
  21. Reda, K., Febretti, A., Knoll, A., Aurisano, J., Leigh, J., Johnson, A., ... & Hereld, M. (2013). Visualizing large, heterogeneous data in hybrid-reality environments. IEEE Computer Graphics and Applications, (4), 38-48.
  22. Ren, Z., Yuan, J., Meng, J., & Zhang, Z. (2013). Robust part-based hand gesture recognition using kinect sensor. Multimedia, IEEE Transactions on, 15(5), 1110-1120.
  23. Schneider, R.D. (2012), Hadoop for Dummies Special Edition, John Wiley&Sons Canada.
  24. Sfakianakis, Y., Mavridis, S., Papagiannis, A., Papageorgiou, S., Fountoulakis, M., Marazakis, M., & Bilas, A. (2014, November). Vanguard: Increasing Server Efficiency via Workload Isolation in the Storage I/O Path. In Proceedings of the ACM Symposium on Cloud Computing (pp. 1-13). ACM.
  25. Valdes C., Eastman D., Grote C., Thatte S., Shaer O., Mazalek A., Ullmer B., Konkel M. (2014). Exploring the design space of gestural interaction with active tokens through user-defined gestures. ACM.
  26. Ware, C. (2012). Information visualization: perception for design. Elsevier.

Paper Citation

in Harvard Style

Drossis G., Birliraki C., Patsiouras N., Margetis G. and Stephanidis C. (2016). 3D Vizualization of Large Scale Data Centres . In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016) ISBN 978-989-758-182-3, pages 388-395. DOI: 10.5220/0005933303880395

in Bibtex Style

author={Giannis Drossis and Chryssi Birliraki and Nikolaos Patsiouras and George Margetis and Constantine Stephanidis},
title={3D Vizualization of Large Scale Data Centres},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)},

in EndNote Style

JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: DataDiversityConvergence, (CLOSER 2016)
TI - 3D Vizualization of Large Scale Data Centres
SN - 978-989-758-182-3
AU - Drossis G.
AU - Birliraki C.
AU - Patsiouras N.
AU - Margetis G.
AU - Stephanidis C.
PY - 2016
SP - 388
EP - 395
DO - 10.5220/0005933303880395