Triangulation Resource Provisioning for Web Applications in Cloud Computing: A Profit-Aware Approach

Author:

Singh ParminderORCID,Gupta Pooja,Jyoti Kiran

Abstract

The elasticity feature of cloud attracts the application providers to host the application in a cloud environment. The dynamic resource provisioning arranges the resources on-demand according to the application workload. The over-utilization and under-utilization of resources can be prevented with autonomic resource provisioning. In literature, the Service Level Agreement (SLA) based, load-aware, resource-aware and user-behavior aware solutions have been proposed. The solutions are rigid for a particular metric which provides benefit either to end users or to the application providers. In this article, we proposed a Triangulation Resource Provisioning (TRP) technique with a profit-aware surplus VM selection policy. This policy ensures the fair resource utilization in hourly billing cycle while giving the Quality of Service (QoS) to the end-users. The proposed technique used time series workload forecasting, CPU utilization and response time in the analysis phase. The experiment results show that the TRP resource provisioning technique is a profit-aware approach for the application providers and ensure the QoS to the end-users.

Publisher

Scalable Computing: Practice and Experience

Subject

General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MVMS: RNN based Pro-Active Resource Scaling in Cloud Environment;Scalable Computing: Practice and Experience;2023-04-19

2. Predictive Autoscaling of Microservices Hosted in Fog Microdata Center;IEEE Systems Journal;2021-03

3. Data Analytics in the Internet of Things: A Survey;Scalable Computing: Practice and Experience;2019-12-04

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