Towards Bridging the Gap Between Scalability and Elasticity

Scalability and elasticity are key capabilities to tackle the variable workload of an application. Cloud elasticity offers opportunities to manage dynamically the underlying resources of an application and improve its scalability. However, managing scalability of cloud-based systems might lead to a management overhead. Self-adaptive systems are a well-known approach to tame this complexity. In this position paper, we propose an approach for the continuous design and management of scalability in multi-cloud systems. Our approach is based on a three-layer architecture and relies on two existing frameworks, namely ScaleDL and CloudML