Academic Cloud Computing Research: Five Pitfalls and Five Opportunities

TL;DR

This paper identifies five common pitfalls in academic cloud computing research at the infrastructure level and advocates for a shift towards higher-level abstractions and innovative research opportunities to foster long-term impact.

Contribution

It highlights the need for academia to move beyond infrastructure-level research and explore new paradigms like user-driven research and advanced programming models.

Findings

Current research is too focused on physical infrastructure.

Opportunities include user-driven research and new programming models.

A roadmap for future academic cloud computing research.

Abstract

This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is currently where the vast majority of academic research lies. Instead academics should be conducting higher risk research, in order to gain understanding and open up entirely new areas. We call for a renewed mindset and argue that academic research should focus less upon physical infrastructure and embrace the abstractions provided by clouds through five opportunities: user driven research, new programming models, PaaS environments, and improved tools to support elasticity and large-scale debugging. The objective of this paper is to foster discussion, and to define a roadmap forward, which will allow academia to make longer-term impacts to the cloud computing community.