Probabilistic Cloud Computing

Authors

  • Sunil Kumar Kashyap School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu
  • Manju Kushwaha Kalinga University, Raipur, Chhattisgarh

DOI:

https://doi.org/10.37628/ijmdic.v3i2.634

Abstract

Cloud computing is reviewed by probabilistic approach in this paper. Computing interacts with probability as probable computing. Efficiency is increased by this technique than the just cloud computing. By the probability distribution, cloud computing enables to represent discretely and continuously both. The probable computing put another advantage as security. The security lies with the distribution. In this idea, the security protocol oscillates between the discrete and continuous probability. The algebraic structure of cloud computing is also defined in this paper. This structure represented cloud computing in the efficient way than the earlier. The weight function of each variable is also analyzed. The platform cloud has now been distributed thus the speed perform in the quantum form.

Author Biographies

Sunil Kumar Kashyap, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu

Department of Mathematics

Manju Kushwaha, Kalinga University, Raipur, Chhattisgarh

Department of Computer Science

References

S. He, L. Guo, Y. Guo, M. Ghanem. Improving resources utilisation in the cloud environment using multivariable probabilistic models, In: IEEE 5th Int. Conf. on Cloud Computing. 2012, 574–81p.

Q. He. Formulating cost effective monitoring strategies for service based systems, 1-1, Report, 2013.

H. Smith. Xero for Dummies. John Willey & Sons; 2013.

Published

2017-12-15

Issue

Section

Articles