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Network Function Virtualization promises to enable dynamic management of software-based network functions. We envision a dynamic and flexible network that can support a smarter data plane than just simple switches that forward packets. This network architecture supports complex stateful rourtng of flows where processing by network functions (NFs) can transform packet data, customized on a per-flow...
The maximum likelihood (ML) estimation method has been extensively applied to identifying the parameters of an aircraft. But it has to derive sensitivity equations in advance and solve sensitivity matrices, thus being complicated for its application and easily reaching locally optimal solutions. The paper proposes an aircraft's parameter identification algorithm, which optimizes the ML function with...
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