Weighted Service Broker Algorithm in Cloud Environment

Cloud Computing refers to the on-demand delivery of IT resources and applications via the Internet, utilizing pay-as-you-go pricing. Cloud service providers provide these services through high-configured servers housed in datacenters. Consequently, various factors are investigated, including response time, cost, the number of requests, and the selection of the optimal datacenter (DC) to fulfill customer demands. Acting as an intermediary between the customer and the service provider, the cloud service broker assumes responsibility for selecting the appropriate datacenter. Several policies exist to determine this selection, like Service Proximity-Based Routing, which prioritizes the nearest region with minimal communication delay and low network latency. However, this policy resorts to random datacenter selection when multiple datacenters exist within the closest region, neglecting factors like datacenter cost and processing time. To address this, a weighted-based approach-aware service brokering policy is proposed, grading datacenters based on factors such as virtual machine (VM) cost, data transfer cost, and VM quantity. The proposed algorithm has been tested and evaluated using Cloud Analyst simulation, yielding noteworthy reductions in total cost, processing time, and response time. © 2024 Slovene Society Informatika. All rights reserved.