Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the addition of new network services, it is anticipated that the processing involved in setting up a call in a circuit-switched network or a session in a packet-switched network will vary greatly for different types of services. ,  address the problem of reducing the call setup time in a circuit-switched network, or equivalently the session setup time in a packet-switched network, through the balancing of load across call processors. With a view to designing algorithms to execute on-line in a system,  formulate a stochastic optimization problem and study the use of stochastic approximation techniques. Given the distributed nature of the problem,  extend previous results obtained for a single node to the case where several nodes operate simultaneously and in an asynchronous manner. Our results include a theoretical study of convergence as ll as several simulation results that compare two stochastic approximation techniques. >
['Rahul Simha', 'James F. Kurose']
I am writing a research paper on a idea On-line minimization of call setup time via load balancing: a stochastic approximation approach
[{"from": "human", "value": "I am writing a research paper on a idea On-line minimization of call setup time via load balancing: a stochastic approximation approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the addition of new network services, it is anticipated that the processing involved in setting up a call in a circuit-switched network or a session in a packet-switched network will vary greatly for different types of services. ,  address the problem of reducing the call setup time in a circuit-switched network, or equivalently the session setup time in a packet-switched network, through the balancing of load across call processors. With a view to designing algorithms to execute on-line in a system,  formulate a stochastic optimization problem and study the use of stochastic approximation techniques. Given the distributed nature of the problem,  extend previous results obtained for a single node to the case where several nodes operate simultaneously and in an asynchronous manner. Our results include a theoretical study of convergence as ll as several simulation results that compare two stochastic approximation techniques. >"}]