Location and Temporal based Multi-Cloud Package Selection for Enterprise

Abstract

Increase in requirements for resources has led to a huge increase in organizations opting for cloud-based services rather than dedicated hardware. This has in-turn led to a huge increase in the number of cloud providers. Multi-cloud options appear to be luring aspects compared to single cloud resource usage due to the fine-tuned resource requirements that can be satisfied by opting for multiple cloud providers. This paper proposes a metaheuristic-based package selection model for enterprise level organizations to enable multi-cloud package selection. The proposed architecture is divided into two broad sections; the temporal and geolocation-based grouping mechanism and the provider and package selection mechanisms. Both provider and package selection are performed using Firefly based optimization models. Experimental results and comparisons indicate high efficiency in both grouping and package identification process when compared to state-of-the-art models..