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Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism

Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism

Ashish Tiwari, Ritu Garg
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 22
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781683182535|DOI: 10.4018/IJCAC.311502
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MLA

Tiwari, Ashish, and Ritu Garg. "Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism." IJCAC vol.12, no.1 2022: pp.1-22. http://doi.org/10.4018/IJCAC.311502

APA

Tiwari, A. & Garg, R. (2022). Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-22. http://doi.org/10.4018/IJCAC.311502

Chicago

Tiwari, Ashish, and Ritu Garg. "Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism," International Journal of Cloud Applications and Computing (IJCAC) 12, no.1: 1-22. http://doi.org/10.4018/IJCAC.311502

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Abstract

The pay-and-use approach is the basis for the cloud computing services that are currently popular. Resource management is one of the more difficult tasks since it takes a while to identify requests and determine what kind of resources are needed to satisfy the customer's needs. Resource provisioning's goal is to identify and make available the right resources depending on user workload's QoS needs so that applications may make efficient use of the resources. The CSPs now offer advanced resource reserves for both short- and long-term periods. Cloud brokers are required to manage the on-demand cloud resource and maintain track of the SLA list of resource providers for their individual cloud customers in our suggested algorithm RSCC (Reservation System for Cloud Computing). According to the user's needs and cost, the RSCC algorithm functions as a flexible reservation that can accommodate a variety of services. The numerical findings demonstrated that the suggested long-term resource planning method was able to produce operational costs that were almost ideal.

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