Dynamic Auto-scaling of VNFs based on Task Execution Patterns | IEEE Conference Publication | IEEE Xplore

Dynamic Auto-scaling of VNFs based on Task Execution Patterns


Abstract:

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 ...Show More

Abstract:

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 [1] 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 [2] 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 [3] of future mobile networks.
Date of Conference: 18-20 September 2019
Date Added to IEEE Xplore: 07 November 2019
ISBN Information:
Print on Demand(PoD) ISSN: 2576-8565
Conference Location: Matsue, Japan

References

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