Abstract
In virtualized networks, network functions are delivered as software running on generic hardware allowing service providers to dynamically allocate resources based on traffic and service demands. Network Function Virtualization (NFV) is becoming a key enabler and consequently a hot research topic. Dynamic scaling of resources in NFV is a highly important challenge towards its implementation in real-life networks. In this paper, we propose a method to predict the required resources in the appropriate time to sustain true elasticity in NFV. The capacity of different Virtualized Network Functions (VNFs) would increase/decrease in a way that the CPU utilization is maximized while the overall cost is minimized. In this paper, we present two strategies to predict the day-ahead CPU utilization. The first strategy is an offline scheduling method that helps managing elasticity in virtualized networks by predicting normal days events. The second one is an online scheduling approach that predicts the day-ahead CPU utilization during sudden peaks due to some unusual circumstances. In this paper, we also present new promising results that show the correlation between the control and data planes. Finally, we propose a hybrid
algorithm that uses both strategies to efficiently handle elasticity in virtualized networks. The obtained results are encouraging and are all based on real-life data of mobile operator networks.
algorithm that uses both strategies to efficiently handle elasticity in virtualized networks. The obtained results are encouraging and are all based on real-life data of mobile operator networks.
Original language | English |
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Title of host publication | 2016 IEEE Global Communications Conference |
Subtitle of host publication | GLOBECOM |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5090-1328-9 |
DOIs | |
Publication status | Published - Feb 2017 |
MoE publication type | A4 Conference publication |
Event | IEEE Global Communications Conference - Washington, United States Duration: 4 Dec 2016 → 8 Dec 2016 Conference number: 59 |
Conference
Conference | IEEE Global Communications Conference |
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Abbreviated title | GLOBECOM |
Country/Territory | United States |
City | Washington |
Period | 04/12/2016 → 08/12/2016 |