The workflow scheduling problem considered difficult in the Cloud becomes even more
challenging when multiple scheduling criteria are used for optimization. It is much harder to …

Deploying microservice instances on the edge device close to end users can provide on-site
processing thus reducing request response time. Each microservice has multiple instances …

Traditional auto-scaling approaches are conceived as reactive automations, typically
triggered when predefined thresholds are breached by resource consumption metrics …

Network function virtualization (NFV) is a key technology of the 5G network era. NFV
decouples a network function from proprietary hardware so that the network function can …

Large-scale web services are increasingly being built with many small modular components
(microservices), which can be deployed, updated and scaled seamlessly. These …

In 5G networks, it is necessary to provide services while meeting various service
requirements, such as high data rates and low latency, in response to dynamic network …

Microservice architectures (MSAs) can increase the performance of distributed systems and
enable better resource allocation by sharing underlying resources among multiple …

Modern large-scale online service providers typically deploy microservices into containers to
achieve flexible service management. One critical problem in such container-based …

Autoscaling systems provide means to automatically change the resources allocated to a
software system according to the incoming workload and its actual needs. Public cloud …

Autoscaling methods are important to ensure response time guarantees for cloud-hosted
microservices. Most of the existing state-of-the-art autoscaling methods use rule-based …