z-logo
open-access-imgOpen Access
AI assisted multi-objective cloud computing model for optimized task scheduling and enhanced QOS
Author(s) -
R. Vijayalakshmi,
S. K. V. Jayakumar,
M. Sathya
Publication year - 2022
Publication title -
international journal of health sciences
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns5.9548
Subject(s) - computer science , distributed computing , job shop scheduling , fair share scheduling , cloud computing , flow shop scheduling , two level scheduling , rate monotonic scheduling , dynamic priority scheduling , scheduling (production processes) , job scheduler , tabu search , genetic algorithm scheduling , lottery scheduling , round robin scheduling , quality of service , mathematical optimization , artificial intelligence , operating system , schedule , computer network , mathematics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom