A Dynamic Elasticity Control Approach Tailored to Slice-Defined Cloud-Network Systems
Elasticity Control, Cloud-Slicing, Network-Slicing, Dynamic Approach
The design of efficient elasticity control mechanisms for dynamic resource allocation is crucial to increase the efficiency of future cloud-network sliced networks. Current elasticity control mechanisms proposed for cloud or network-slice environments only consider cloud or network resources. Cloud-network sliced networks will obtain substantial gains from these mechanisms only if they consider both cloud and network resources in an integrated fashion. Moreover, they must enable a fast enough orchestration of these resources but preserving the performance and isolation of the cloud-network slices. In this work, we propose a elasticity control approach to dynamically control and manage the orchestration of resources in cloud-network slice-defined systems. A prototype was developed, and its preliminary results suggest that the proposing approach is a viable solution to provide elasticity in environments defined by cloud-network slices.