Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Network Functions Virtualization (NFV) is a network architecture concept where network functionality is virtualized and separated into multiple building blocks that may connect or be chained together to implement the required services. The main advantages consist of an increase in network flexibility and scalability. Indeed, each part of the service chain can be allocated and reallocated at runtime depending on demand. ,  present and evaluate an energy-aware Game-Theory-based solution for resource allocation of Virtualized Network Functions (VNFs) within NFV environments.  consider each VNF as a player of the problem that competes for the physical network node capacity pool, seeking the minimization of individual cost functions. The physical network nodes dynamically adjust their processing capacity according to the incoming workload, by means of an Adaptive Rate (AR) strategy that aims at minimizing the product of energy consumption and processing delay. On the basis of the result of the nodes' AR strategy, the VNFs' resource sharing costs assume a polynomial form in the workflows, which admits a unique Nash Equilibrium (NE).  examine the effect of different (unconstrained and constrained) forms of the nodes' optimization problem on the equilibrium and compare the por consumption and delay achieved with energy-aware and non-energy-aware strategy profiles.
['Roberto Bruschi', 'Alessandro Carrega', 'Franco Davoli']
I am writing a research paper on a idea A game for energy-aware allocation of Virtualized Network Functions
[{"from": "human", "value": "I am writing a research paper on a idea A game for energy-aware allocation of Virtualized Network Functions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Network Functions Virtualization (NFV) is a network architecture concept where network functionality is virtualized and separated into multiple building blocks that may connect or be chained together to implement the required services. The main advantages consist of an increase in network flexibility and scalability. Indeed, each part of the service chain can be allocated and reallocated at runtime depending on demand. ,  present and evaluate an energy-aware Game-Theory-based solution for resource allocation of Virtualized Network Functions (VNFs) within NFV environments.  consider each VNF as a player of the problem that competes for the physical network node capacity pool, seeking the minimization of individual cost functions. The physical network nodes dynamically adjust their processing capacity according to the incoming workload, by means of an Adaptive Rate (AR) strategy that aims at minimizing the product of energy consumption and processing delay. On the basis of the result of the nodes' AR strategy, the VNFs' resource sharing costs assume a polynomial form in the workflows, which admits a unique Nash Equilibrium (NE).  examine the effect of different (unconstrained and constrained) forms of the nodes' optimization problem on the equilibrium and compare the por consumption and delay achieved with energy-aware and non-energy-aware strategy profiles."}]