ACAS: An anomaly-based cause aware auto-scaling framework for clouds

Abstract

Cloud computing as a model to deliver distributed resource and services on the pay-as-you-go policy has become increasingly popular for all organizations including industry. However, the inherent dynamicity in this environment makes it prone to various types of performance problems which introduce many challenges in the area of distributed resource management. Advances in the big data learning approaches can bring the opportunity for a data aware dynamic management of resources in the cloud. The collected data from the performance indicators of the system can be a valuable source of information to identify unusual behaviors in the resource consumptions or application performance. Different t..