Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …

Abstract Cloud computing and Network Function Virtualization (NFV) are two
complementary technologies. Virtual network functions (VNFs) provided by NFV are …

Auto-scalability is a common approach for management of cloud applications where
resources are provisioned and de-provisioned on demand. Because of its automatic nature …

Edge computing is an attractive architecture to efficiently provide compute resources to
many applications that demand specific QoS requirements. The edge compute resources …

Cloud computing has enabled many applications to dynamically accommodate their
resources in response to variations in their workloads. Elastic scaling is implemented mostly …

To meet user requirements, systems can be built from Commercial-Off-The-Shelf (COTS)
components, potentially from different vendors. However, the gap between the requirements …

Edge computing is an attractive architecture to efficiently provide compute resources to
many applications that demand specific QoS requirements. The edge compute resources …

Large batch jobs such as Deep Learning, HPC and Spark require far more computational
resources and higher cost than conventional online service. Like the processing of other …

Elasticity is a key feature of cloud systems. It allows service providers to adapt resource
provisioning to workload changes without impacting the users. For this purpose, the system …

Service Providers1 aim at optimizing resource utilisation while respecting the Service Level
Agreements (SLAs) entered with customers. Dynamic reconfiguration is a mechanism for …