Analysis and Design of Advance Scalable QoS Based Resource Provisioning Framework

Abstract

In today’s growing cloud world, where users are continuously demanding a large number of services or resources at the same time, cloud providers aim to meet their needs while maintaining service quality, an ideal QoS-based resource provisioning is required. In the consideration of the quality-of-service parameters, it is essential to place a greater emphasis on the scalability attribute, which aids in the design of complex resource provisioning frameworks. This study aims to determine how much work is done in light of scalability as the most important QoS attribute. We first conducted a detailed survey on similar QoS-based resource provisioning proposed frameworks/techniques in this article, which discusses QoS parameters with increasingly growing cloud usage expectations. Second, this paper focuses on scalability as the main QOS characteristic, with types, issues, review questions and research gaps discussed in detail, revealing that less work has been performed thus far. We will try to address scalability and resource provisioning problems with our proposed advance scalable QoS-based resource provisioning framework by integrating new modules resource scheduler, load balancer, resource tracker, and cloud user budget tracker in the resource provisioning process. Cloud providers can easily achieve scalability of resources while performing resource provisioning by integrating the working specialty of these sub modules.

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“…They also employ augmentation for the study of cloud workloads, which adds to an even higher increase in the speed at which scheduling is done. Authors Shelke and Shahapurkar (2021), completed a detailed study of scalability as well as other important QoS parameters and proposed a novel framework that described the need for scalable and QoS-aware resource provisioning as well as how to improve the efficiency of QoS-based load balancing This proposed work shows the need for resource schedulers, load balancers, resource trackers, and cloud user budget trackers for meeting all QoS requirements and using good dynamic resource provisioning.So In this research paper work we have also considered all important parameters to design the praposed model.…”