Asia-Pacific Network Operations and Management Symposium
Dynamic Auto-scaling of VNFs Based on Task Execution Patterns
Asif Mehmood, Talha Ahmed Khan, Javier Jose Diaz Rivera, Wang-Cheol Song,
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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.