A Modular Broking Architecture for Optimized Cloud Service Deployment and Scheduling

Abstract

In today’s world, most companies are shifting their servers from onpremises to cloud infrastructure to deliver the most efficient service to their customers. To serve this, many cloud service providers provide different services of virtual machines, storage, networking, load balancing, and all the facilities a company will require to run its business. For the best implementation of cloud services, these companies utilize different scheduling strategies for a particular service. The competition is not just providing the service but it is providing the quickest and most efficient service. Many companies fail to automatically manage all components involved during the deployment of architecture in the cloud. This paper proposes a modular architecture that can be used for the optimal deployment of services provided in the cloud. Along with that, this architecture will be compatible with scheduling strategies as well so that different optimization criteria like cost, performance, storage, load balancing criteria, and so on. There was also an analysis of the architecture by performing the deployment of a website under various conditions like optimization criteria and maximum user requests