Abstract:
Network Function Virtualization (NFV) is a promising networking technology for heterogeneous and complex network services. NFV separates network functions from hardware. Telecom providers place VNFs on software-based middleboxes in the NFV architecture.
Traffic follows a Service Function Chain (SFC) of Virtual Network Functions (VNFs). How to efficiently place VNFs and steer SFC requests while minimizing energy consumption remains a challenge. We optimize VNF placement and traffic steering for telecom network energy efficiency.
The power consumption model in NFV-enabled telecom networks is presented first, followed by an Integer Linear Programming (ILP) model. Since the problem is NP-hard, we design a Markov approximation-based polynomial algorithm that performs near-optimally.
Our algorithm can serve dynamic SFC requests online. Online algorithms perform near-optimally over time. Our algorithm reduces telecom network power consumption by 14.08 and 13.72 percent, respectively, compared to the benchmark algorithms.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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