The process of scaling microservices is a challenging task, especially in maintaining
optimum resource provisioning while respecting QoS constraints and SLA. Many research …

Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba
Cloud's computing platforms, which dynamically adjust the Elastic Compute Service (ECS) …

Predictive autoscaling (autoscaling with workload forecasting) is an important mechanism
that supports autonomous adjustment of computing resources in accordance with fluctuating …

Autoscaling methods are used for cloud-hosted applications to dynamically scale the
allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application …

Fog computing provides microdata center (MDC) facilities closer to the users and
applications, which help to overcome the application latency and response time concerns …

One of the main challenges in deploying container service is providing the scalability to
satisfy the service performance and avoid resource wastage. To deal with this challenge …

Cloud elasticity is a comprehensive solution that takes into account all running applications
and resources, including the cloud management system. Cloud resources and applications …

Cloud native computing paradigm allows microservice-based applications to take
advantage of cloud infrastructure in a scalable, reusable, and interoperable way. However …

The containerized microservices architecture is being increasingly used to build complex
applications. To minimize operating costs, service providers typically rely on an auto-scaler …

Deploying microservices in container‐based cloud environments increases the agility of
resource scaling. However, the delay in autoscaling for microservices caused by container …