Network function virtualization is a new network concept that moves network functions from dedicated hardware to software-defined applications running on standard high volume severs. In order to accomplish network ser...Network function virtualization is a new network concept that moves network functions from dedicated hardware to software-defined applications running on standard high volume severs. In order to accomplish network services, traffic flows are usually processed by a list of network functions in sequence which is defined by service function chain. By incorporating network function virtualization in inter-data center(DC) network, we can use the network resources intelligently and deploy network services faster. However, orchestrating service function chains across multiple data centers will incur high deployment cost, including the inter-data center bandwidth cost, virtual network function cost and the intra-data center bandwidth cost. In this paper, we orchestrate SFCs across multiple data centers, with a goal to minimize the overall cost. An integer linear programming(ILP) model is formulated and we provide a meta-heuristic algorithm named GBAO which contains three modules to solve it. We implemented our algorithm in Python and performed side-by-side comparison with prior algorithms. Simulation results show that our proposed algorithm reduces the overall cost by at least 21.4% over the existing algorithms for accommodating the same service function chain requests.展开更多
针对差分混沌-相关延时移位键控(DC-CDSK)存在的码间干扰而造成的比特误码率较高问题,提出了一种无码间干扰DC-CDSK混沌通信方案。通过改变混沌信号发生器的结构,确保发送的两路混沌信号严格正交,彻底解决了判决变量中码间干扰问题。推...针对差分混沌-相关延时移位键控(DC-CDSK)存在的码间干扰而造成的比特误码率较高问题,提出了一种无码间干扰DC-CDSK混沌通信方案。通过改变混沌信号发生器的结构,确保发送的两路混沌信号严格正交,彻底解决了判决变量中码间干扰问题。推导了在高斯白噪声信道中的比特误码率公式并完成仿真,结果表明,在一定信噪比和扩频因子条件下无码间干扰DC-CDSK比特误码率比原系统提高了2~3 d B。展开更多
基金supported by the National Natural Science Foundation of China(61501044)
文摘Network function virtualization is a new network concept that moves network functions from dedicated hardware to software-defined applications running on standard high volume severs. In order to accomplish network services, traffic flows are usually processed by a list of network functions in sequence which is defined by service function chain. By incorporating network function virtualization in inter-data center(DC) network, we can use the network resources intelligently and deploy network services faster. However, orchestrating service function chains across multiple data centers will incur high deployment cost, including the inter-data center bandwidth cost, virtual network function cost and the intra-data center bandwidth cost. In this paper, we orchestrate SFCs across multiple data centers, with a goal to minimize the overall cost. An integer linear programming(ILP) model is formulated and we provide a meta-heuristic algorithm named GBAO which contains three modules to solve it. We implemented our algorithm in Python and performed side-by-side comparison with prior algorithms. Simulation results show that our proposed algorithm reduces the overall cost by at least 21.4% over the existing algorithms for accommodating the same service function chain requests.
文摘针对差分混沌-相关延时移位键控(DC-CDSK)存在的码间干扰而造成的比特误码率较高问题,提出了一种无码间干扰DC-CDSK混沌通信方案。通过改变混沌信号发生器的结构,确保发送的两路混沌信号严格正交,彻底解决了判决变量中码间干扰问题。推导了在高斯白噪声信道中的比特误码率公式并完成仿真,结果表明,在一定信噪比和扩频因子条件下无码间干扰DC-CDSK比特误码率比原系统提高了2~3 d B。
