Investigating Decision Support Techniques for Automating Cloud Service Selection

TL;DR

This paper proposes developing an intelligent decision support system to assist users in selecting optimal cloud infrastructure services amidst complex dependencies and diverse criteria.

Contribution

It introduces a novel approach to automate cloud service selection through decision support techniques, addressing the complexity of current cloud service choices.

Findings

Identifies key challenges in cloud service selection.

Proposes a framework for decision support in cloud environments.

Lays groundwork for future implementation and evaluation.

Abstract

The compass of Cloud infrastructure services advances steadily leaving users in the agony of choice. To be able to select the best mix of service offering from an abundance of possibilities, users must consider complex dependencies and heterogeneous sets of criteria. Therefore, we present a PhD thesis proposal on investigating an intelligent decision support system for selecting Cloud based infrastructure services (e.g. storage, network, CPU).