106
104

Survey and Taxonomy of Self-Aware and Self-Adaptive Autoscaling Systems in the Cloud

Abstract

Autoscaling system can reconfigure cloud-based applications and services, through various cloud software configurations and hardware provisioning, to adapt to the changing environment at runtime. Such a behaviour offers the foundation to achieve elasticity in modern cloud computing paradigm. Given the importance of autoscaling in cloud, computational intelligence has been widely applied for engineering autoscaling system, leading to self-aware, self-adaptive and more dependable runtime scaling. In this paper, we present the brief background and history for autoscaling in the cloud, as well as their associations with self-awareness and self-adaptivity of a system. Subsequently, we conduct detailed survey and taxonomy of the key related work and identify the gaps in this area of research.

View on arXiv
Comments on this paper