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Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World

Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World

Ashish Tiwari, Ritu Garg
Copyright: © 2022 |Volume: 10 |Issue: 1 |Pages: 28
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781683182832|DOI: 10.4018/IJSI.297923
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MLA

Tiwari, Ashish, and Ritu Garg. "Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World." IJSI vol.10, no.1 2022: pp.1-28. http://doi.org/10.4018/IJSI.297923

APA

Tiwari, A. & Garg, R. (2022). Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World. International Journal of Software Innovation (IJSI), 10(1), 1-28. http://doi.org/10.4018/IJSI.297923

Chicago

Tiwari, Ashish, and Ritu Garg. "Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World," International Journal of Software Innovation (IJSI) 10, no.1: 1-28. http://doi.org/10.4018/IJSI.297923

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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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