I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized ...I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized high-quality automation solutions. Additionally, the paper introduces the retry framework, which allows for the automatic retrying of subtasks in the event of system or unknown exceptions. This framework enhances efficiency and reduces the manual effort required to retrigger bots. The A360 Subtask and Retry Framework templates provide valuable assistance to both professional and citizen developers, improving code quality, maintainability, and the overall efficiency and resiliency of automation solutions.展开更多
This paper investigates an M/M/1 constant retrial queue with reserved time and vacations.A new arriving customer will take up the server and accept service immediately if the server is idle.Otherwise,if the server is ...This paper investigates an M/M/1 constant retrial queue with reserved time and vacations.A new arriving customer will take up the server and accept service immediately if the server is idle.Otherwise,if the server is busy or on vacation,customers have to join a retrial orbit and wait for retry.Once a service is completed,the server will reserve a random time to seek a customer from the orbit at a constant retrial rate.If there is no arrivals(from the orbit or outside)during the idle period,to save energy,the server will take a vacation.This paper studies the fully unobservable case.First,the steady-state condition of the system is analyzed by using the Foster’s criterion,and the customers’expected waiting time is obtained based on the generating function technique.And then,by introducing an appropriate revenue structure,the equilibrium strategies of customers and the socially optimal strategy are all derived.Furthermore,a comparison between them is made and the effect of some main system parameters is studied.展开更多
Bi-dimensional Markov chain model based on cooperative medium access control(MAC)of wireless local area networks(WLAN)is considered to reflect system performance accurately.Two basic factors that affect the analysis r...Bi-dimensional Markov chain model based on cooperative medium access control(MAC)of wireless local area networks(WLAN)is considered to reflect system performance accurately.Two basic factors that affect the analysis results are station retry limits and non-saturated transmit probability.A uniform solution considering both factors is proposed.To prove the theoretical analysis,a cooperative MAC(CoopMAC)topology is established and the simulation model is enhanced by changing the cooperative table to the nodes'memory with more information added.Meanwhile,the three-way handshake scheme is modified and a handshake threshold is set based on the packet size.Simulation results show the performance analytical model is accurate,and the rate-adaptive cooperative MAC protocol significantly improves the network performance in terms of non-saturated system throughput and delay.展开更多
文摘I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized high-quality automation solutions. Additionally, the paper introduces the retry framework, which allows for the automatic retrying of subtasks in the event of system or unknown exceptions. This framework enhances efficiency and reduces the manual effort required to retrigger bots. The A360 Subtask and Retry Framework templates provide valuable assistance to both professional and citizen developers, improving code quality, maintainability, and the overall efficiency and resiliency of automation solutions.
文摘This paper investigates an M/M/1 constant retrial queue with reserved time and vacations.A new arriving customer will take up the server and accept service immediately if the server is idle.Otherwise,if the server is busy or on vacation,customers have to join a retrial orbit and wait for retry.Once a service is completed,the server will reserve a random time to seek a customer from the orbit at a constant retrial rate.If there is no arrivals(from the orbit or outside)during the idle period,to save energy,the server will take a vacation.This paper studies the fully unobservable case.First,the steady-state condition of the system is analyzed by using the Foster’s criterion,and the customers’expected waiting time is obtained based on the generating function technique.And then,by introducing an appropriate revenue structure,the equilibrium strategies of customers and the socially optimal strategy are all derived.Furthermore,a comparison between them is made and the effect of some main system parameters is studied.
基金supported by the Hi-Tech Research and Development Program of China(2007AA01Z211)
文摘Bi-dimensional Markov chain model based on cooperative medium access control(MAC)of wireless local area networks(WLAN)is considered to reflect system performance accurately.Two basic factors that affect the analysis results are station retry limits and non-saturated transmit probability.A uniform solution considering both factors is proposed.To prove the theoretical analysis,a cooperative MAC(CoopMAC)topology is established and the simulation model is enhanced by changing the cooperative table to the nodes'memory with more information added.Meanwhile,the three-way handshake scheme is modified and a handshake threshold is set based on the packet size.Simulation results show the performance analytical model is accurate,and the rate-adaptive cooperative MAC protocol significantly improves the network performance in terms of non-saturated system throughput and delay.
