Have a personal or library account? Click to login
Uncertainty Aware Resource Provisioning Framework for Cloud Using Expected 3-SARSA Learning Agent: NSS and FNSS Based Approach Cover

Uncertainty Aware Resource Provisioning Framework for Cloud Using Expected 3-SARSA Learning Agent: NSS and FNSS Based Approach

Cybernetics and Information Technologies
Volume 19 (2019): Issue 3 (September 2019)
By: K. Bhargavi and  B. Sathish Babu  
Open Access
|Sep 2019

Authors

K. Bhargavi

bhargavi.tumkur@gmail.com

Department of CSE, Siddaganga Institute of Technology, Tumkur, India

B. Sathish Babu

bsbabu@rvce.edu.in

Department of CSE, R V College of Engineering, Bangalore, India
DOI: https://doi.org/10.2478/cait-2019-0028 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 94 - 117
Submitted on: Dec 30, 2018
|
Accepted on: May 30, 2019
|
Published on: Sep 26, 2019
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
SARSA (State-Action Reward-State-Action),
Resource provisioning,
Uncertainty,
Soft-set,
elasticity,
throughput,
learning rate
Related subjects:
Computer sciences,
Information technology

© 2019 K. Bhargavi, B. Sathish Babu, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 19 (2019): Issue 3 (September 2019)Next article