Asia-Pacific Network Operations and Management Symposium


Session Number:P3



Dynamic Auto-scaling of VNFs Based on Task Execution Patterns

Asif Mehmood,  Talha Ahmed Khan,  Javier Jose Diaz Rivera,  Wang-Cheol Song,  


Publication Date:2019/9/18

Online ISSN:2188-5079


PDF download (877.9KB)

Investigation and collection of real-time data plays a very crucial part in the orchestration of network resources. Selection of the correct data is very important as it decides to auto-scale the resources. In cloud & SDN environments such as NFV, auto-scaling becomes more critical in terms of precision and accuracy. In our case, we propose a solution for auto-scaling the network resources based on the calculations made for every action's execution-time of respective instances of a VNF. The instances for each VNF are auto-scaled on the basis of execution-times per time slot, and the number of cores that are assigned by the usage of weight factor used for virtual/physical cores. Hence by using the proposed solution, we are able to enhance the proper resource provisioning to fulfill the dynamic demands of future mobile networks.