volume 10 issue 1 pages 1-28

Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing

Publication typeJournal Article
Publication date2022-03-04
scimago Q3
wos Q4
SJR0.177
CiteScore1.9
Impact factor0.6
ISSN21667160, 21667179
Computer Science Applications
Computer Graphics and Computer-Aided Design
Computer Networks and Communications
Artificial Intelligence
Software
Abstract

In the computing world, every company is focusing on the early reservation system. In the early reservation the price, quality of service, time, and everything is maintained and reserved for the user on the due interval. ORRS is a step toward this global vision and specifically designed to act as a flexible reservation supporting multiple services according to user's need and pricing (such as traditional immediate reservation (TIR) request and ORRS reservation. Thus, it is both important and challenging to reserve computing services and the cost of the services in an efficient manner. In the ORRS reservation system, the fuzzy rough set feature selection decreases the dimensional structure and problems of a large database in the computing world. The researcher is now going at a rapid speed in the field of maintaining cost based on decision making like on-demand, reserved, the spot to increase resources utilization and profit. The implementation had done in our research work by the use of cloud simulator.

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Tiwari A., Garg R. Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing // International Journal of Software Innovation. 2022. Vol. 10. No. 1. pp. 1-28.
GOST all authors (up to 50) Copy
Tiwari A., Garg R. Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing // International Journal of Software Innovation. 2022. Vol. 10. No. 1. pp. 1-28.
RIS |
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RIS Copy
TY - JOUR
DO - 10.4018/IJSI.297923
UR - https://doi.org/10.4018/IJSI.297923
TI - Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing
T2 - International Journal of Software Innovation
AU - Tiwari, Ashish
AU - Garg, Ritu
PY - 2022
DA - 2022/03/04
PB - IGI Global
SP - 1-28
IS - 1
VL - 10
SN - 2166-7160
SN - 2166-7179
ER -
BibTex |
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BibTex (up to 50 authors) Copy
@article{2022_Tiwari,
author = {Ashish Tiwari and Ritu Garg},
title = {Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing},
journal = {International Journal of Software Innovation},
year = {2022},
volume = {10},
publisher = {IGI Global},
month = {mar},
url = {https://doi.org/10.4018/IJSI.297923},
number = {1},
pages = {1--28},
doi = {10.4018/IJSI.297923}
}
MLA
Cite this
MLA Copy
Tiwari, Ashish, and Ritu Garg. “Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing.” International Journal of Software Innovation, vol. 10, no. 1, Mar. 2022, pp. 1-28. https://doi.org/10.4018/IJSI.297923.