  Content Delivery Network (CDN) has been emerged as a compelling technology to
provide efficient and scalable web services even under high client request.
However, this leads to a dilemma between minimum deployment cost and robust
service under heavy loads. To solve this problem, we propose the Workload
Automation Engine (WAE) which enables dynamic resource management, automated
scaling and rapid service deployment with least cost for CDN providers. Our
modular design uses an algorithm to calculate the optimal assignment of virtual
CDN functions such as streaming, progressive delivering and load balancer. In
particular, we study on real CDN data which belongs to Medianova CDN Company in
Turkey. Also we use Docker containerization as an underlying system. The
results reveal that our containerized design reduces the latency and deployment
cost by 45% and by 66%, respectively. Moreover, we obtain roughly 20% more CPU
efficiency and 35% more utilized network.
