Skip to main content
SpringerLink
Log in

An overview, examples, and impacts offered by Emerging Services and Analytics in Cloud Computing virtual reality

  • Neural Computing in Next Generation Virtual Reality Technology
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

This paper presents a high-level overview of Emerging Services and Analytics in Cloud Computing virtual reality including the rationale, technologies involved, selected examples, and contributions. Examples in health care, business, climate change, and natural disaster have been demonstrated to support Emerging Services and Analytics by virtual reality, which can allow scientists to understand the complexity behind science and process thousands of data within seconds. Not only scientists with deep knowledge but also the general public can understand part of the outputs and illustrations from different types of examples and outputs from other disciplines. Businesses can achieve business agility, improvement in efficiency, monitoring the daily work, and analyzing key performance indicators up to date and in real time. We present the case of Emerging Services and Analytics by virtual reality to discuss its contributions and future directions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Rheingold, H. (1991) Virtual reality: exploring the brave new technologies. Simon & Schuster Adult Publishing Group

  2. Steuer J (1992) Defining virtual reality: dimensions determining telepresence. J Commun 42(4):73–93

    Article  Google Scholar 

  3. Ryan, M. L. (2001) Narrative as virtual reality: immersion and interactivity in literature and electronic media. Johns Hopkins University Press

  4. Zyda M (2005) From visual simulation to virtual reality to games. Computer 38(9):25–32

    Article  Google Scholar 

  5. Biocca, F., & Levy, M. R. (Eds.). (2013). Communication in the age of virtual reality. Routledge

  6. Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Futur Gener Comput Syst 25(6):559–616

    Article  Google Scholar 

  7. Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A (2011) Cloud computing—the business perspective. Decis Support Syst 51(1):176–189 Elsevier B.V.

    Article  Google Scholar 

  8. Mell P, Grance T (2009) The NIST definition of cloud computing. National Institute of Standards and Technology 53(6):50

    Google Scholar 

  9. Weinhardt C, Anandasivam DIWA, Blau B, Borissov DIN, Meinl DMT, Michalk DIWW, Stößer J (2009) Cloud computing—a classification, business models, and research directions. Business & Information Systems Engineering 1(5):391–399

    Article  Google Scholar 

  10. Sultan N (2010) Cloud computing for education: a new dawn? Int J Inf Manag 30(2):109–116

    Article  Google Scholar 

  11. Chang, V., & Wills, G (2013) A University of Greenwich case study of Cloud Computing. E-Logistics and E-Supply Chain Management: applications for evolving business, 2013, 232

  12. Chang, V., Wills, G., Walters, R. and Currie, W. (2012) Towards a structured Cloud ROI: the University of Southampton cost-saving and user satisfaction case studies. Book Chapter, Sustainable Green Computing: Practices, Methodologies and Technologies

  13. Sultan N (2014) Making use of cloud computing for healthcare provision: opportunities and challenges. Int J Inf Manag 34(2):177–184

    Article  Google Scholar 

  14. Chang V, Walters RJ, Wills G (2013) The development that leads to the Cloud Computing Business Framework. Int J Inf Manag 33(3):524–538. doi:10.1016/j.ijinfomgt.2013.01.005

    Article  Google Scholar 

  15. Gupta P, Seetharaman A, Raj JR (2013) The usage and adoption of cloud computing by small and medium businesses. Int J Inf Manag 33(5):861–874

    Article  Google Scholar 

  16. Hsu PF, Ray S, Li-Hsieh YY (2014) Examining cloud computing adoption intention, pricing mechanism, and deployment model. Int J Inf Manag 34(4):474–488

    Article  Google Scholar 

  17. Foster, I., Zhao, Y., Raicu, I., Lu, S. Y. (2008) Cloud Computing and Grid Computing 360-degree compared. IEEE Grid Comput Environ (GCE08), Austin, Texas, USA, Nov 12–16

  18. Armbrust M, Fox A, Griffith R, Joseph AD, Katz RH, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M (2010) Above the clouds: a Berkeley view of cloud computing. Commun ACM 53(4):50–58

    Article  Google Scholar 

  19. Buyya, R., Yeo, C. S. and Venugopal, S (2008) Market-oriented Cloud Computing: vision, hype, and reality for delivering IT services as computing utilities. In: the 10th IEEE High Performance Computing and Communications, HPCC 2008, pp. 5–13

  20. Vecchiola C, Chu X, Buyya R (2009) Aneka: a software platform for .NET-based cloud computing. High Speed and Large Scale Scientific Computing 18:267–295

    Google Scholar 

  21. Kohavi R, Rothleder NJ, Simoudis E (2002) Emerging trends in business analytics. Commun ACM 45(8):45–48

    Article  Google Scholar 

  22. Brail, R. K., & Klosterman, R. E. (2001). Planning support systems: integrating geographic information systems, models, and visualization tools. ESRI, Inc

  23. LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2013) Big data, analytics and the path from insights to value. MIT Sloan Manag Rev 21

  24. Miner, G., Nisbet, R., & Elder IV, J (2009) Handbook of statistical analysis and data mining applications. Academic Press

  25. Chang V (2014a) The business intelligence as a service in the Cloud. Futur Gener Comput Syst 37:512–534

    Article  Google Scholar 

  26. Chang, V., Wills, G., & Walters, R. J. (2014) ESaaSA 2014—Proceedings of the International Workshop on Emerging Software as a Service and Analytics

  27. Chang, V., Ramachandran, M., Wills, G., Walters, R. J., Kantere, V., & Li, C. S. (2015) ESaaSA 2015—Proceedings of the International Workshop on Emerging Software as a Service and Analytics, Lisbon, Portugal, May 20–22, 2015

  28. Buttle, F. (2009). Customer relationship management: concepts and technologies. Routledge

  29. Di Meglio, A., Purcell, A., & Gaillard, M. (2014) CERN openlab Whitepaper on Future IT Challenges in Scientific Research

  30. Chen CP, Zhang CY (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf Sci 275:314–347

    Article  Google Scholar 

  31. Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications 1(1):7–18

    Article  Google Scholar 

  32. Antcheva I, Ballintijn M, Bellenot B, Biskup M, Brun R, Buncic N et al (2009) ROOT—A C++ framework for petabyte data storage, statistical analysis and visualization. Comput Phys Commun 180(12):2499–2512

    Article  Google Scholar 

  33. Kumar, V. (2008) Customer lifetime value: the path to profitability. Now Publishers Inc

  34. Demchenko, Y., Grosso, P., De Laat, C., & Membrey, P. (2013) Addressing big data issues in scientific data infrastructure. In IEEE 2013 International Conference on Collaboration Technologies and Systems (CTS), pp. 48–55

  35. Liu J, Diamond J (2005) China’s environment in a globalizing world. Nature 435(7046):1179–1186

    Article  Google Scholar 

  36. Ci, L. (2001) Disasters of strong sandstorms over large areas and the spread of land desertification in China, Chapter Ten, Book Chapter, China’s experience with calamitous sand-dust storms

  37. Liang E, Eckstein D, Liu H (2008) Climate-growth relationships of relict Pinus tabulaeformis at the northern limit of its natural distribution in northern China. J Veg Sci 19:393–406

    Article  Google Scholar 

  38. Zhang XL, Wang YC (2001) Weather analysis and numerical simulation of sandstorm in Beijing area, Gansu Meteorology Journal. Beijing Institute of Meteorological Science, Beijing

    Google Scholar 

  39. Liu S, Wang Z, Gong Z, Huang L, Peng Q (2007) Physically based animation of sandstorm, computer animation and virtual worlds. Comp Anim Virtual Worlds 18:259–269

    Article  Google Scholar 

  40. Chang, V. (2014b), Consulting as a service—demonstrated by Cloud Computing consultancy projects in the Greater China, advances in Cloud Computing research. Nova Publishers

  41. Marengo JA, Rogers JC (2001) Polar air outbreaks in the Americas: assessments and impacts during modern and past climates. In: Markgraf V (ed) Interhemispheric climate linkages. Academic Press, San Diego, pp 31–51

    Chapter  Google Scholar 

  42. Chang, V. (2017) Towards data analysis for weather cloud computing. Knowl-Based Syst. doi:10.1016/j.knosys.2017.03.003

  43. Dilley, M. (2005) Natural disaster hotspots: a global risk analysis (Vol. 5). World Bank Publications

  44. Gelman A, Carlin JB, Stern HS, Rubin DB (2014) Bayesian data analysis, vol 2. Chapman & Hall/CRC, London

    MATH  Google Scholar 

  45. Lay T, Hiro K, Charles A (2005) The Great Sumatra-Andaman Earthquake of 26 December 2004. Science 308:1127–1139

    Article  Google Scholar 

  46. Grimes, S. (2011) Text/content analytics 2011: user perspectives on solutions and providers. Alta Plana

  47. Jeon, S., Hong, B., & Chang, V. (2017) Pattern graph tracking-based stock price prediction using big data. Futur Gener Comput Syst

  48. Sharma, B., Thulasiram, R. K., Thulasiraman, P., Garg, S. K., & Buyya, R. (2012) Pricing cloud compute commodities: a novel financial economic model. In: IEEE 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), (pp. 451–457)

  49. Ellison, N. B., Steinfield, C., & Lampe, C. (2011) Connection strategies: social capital implications of Facebook-enabled communication practices. New media & society, 1461444810385389

  50. Keim, D. A., Kohlhammer, J., Ellis, G., & Mansmann, F. (Eds.) (2010) Mastering the information age-solving problems with visual analytics. Florian Mansmann

  51. Miranda, P. A., Falcão, A. X., & Udupa, J. K. (2009) Cloud bank: a multiple clouds model and its use in MR brain image segmentation. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI'09, (pp. 506–509)

  52. Chang V (2014c) Cloud computing for brain segmentation—a perspective from the technology and evaluations. Int J of Big Data Intell 1(4):192–204

  53. Mather, T., Kumaraswamy, S., & Latif, S. (2009) Cloud security and privacy: an enterprise perspective on risks and compliance. “O’Reilly Media, Inc.”

  54. Westerhorstmann, K. (2015) The computer fraud and abuse act: protecting the United States from cyber-attacks, fake dating profiles, and employees who check Facebook at work. University of Miami National Security & Armed Conflict Law Review 5(2): 145

  55. Romanosky S, Hoffman D, Acquisti A (2014) Empirical analysis of data breach litigation. J Empir Leg Stud 11(1):74–104

    Article  Google Scholar 

  56. Eagle, N., & Greene, K. (2014) Reality mining: using big data to engineer a better world. MIT Press

  57. Subashini S, Kavitha V (2011) A survey on security issues in service delivery models of cloud computing. J Netw Comput Appl 34(1):1–11

    Article  Google Scholar 

  58. Wu, B., Chen, J., Wu, J., & Cardei, M. (2007) A survey of attacks and countermeasures in mobile ad hoc networks. In: Wireless network security (pp. 103–135). Springer US

  59. Chang, V., Ramachandran, M. (2016) Towards achieving cloud data security with cloud computing adoption framework. IEEE Trans Serv Comput. 9(1):138–151

Download references

Author information

Authors and Affiliations

  1. IBSS, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Victor Chang

Authors
  1. Victor Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Victor Chang.

Ethics declarations

Conflict of interest

The author declares that he has no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, V. An overview, examples, and impacts offered by Emerging Services and Analytics in Cloud Computing virtual reality. Neural Comput & Applic 29, 1243–1256 (2018). https://doi.org/10.1007/s00521-017-3000-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-017-3000-1

Keywords

Search

Navigation