A survey on auto-scaling: how to exploit cloud elasticity. (21st March 2023)

• Record Type: Journal Article
• Authors: Catillo, Marta; Villano, Umberto; Rak, Massimiliano
• Is Part Of: International journal of grid and utility computing. Volume 14:Number 1(2023)
• Page Start: 37
• Page End: 50
• Publication Date: 2023-03-21
• Subjects: cloud computing -- auto-scaling -- resource provisioning -- elasticity -- QoS -- service level agreement -- scalable applications; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

Elasticity plays an essential role as far as the wide diffusion of cloud computing is concerned. It enables a cloud application deployment to 'scale' automatically, adapting to workload changes, guaranteeing the performance requirements with minimum infrastructure leasing costs. However, auto-scaling poses challenging problems. This paper gives a detailed overview of the current state of the art on auto-scaling. Firstly, the key design points for auto-scaling tools are presented and discussed. Then, literature proposals and on-going research are dealt with. Finally, existing auto-scaling implementations, including those used by commercial cloud providers, are reviewed.