Naishuo Tian's research while affiliated with Northeast University At Qinhuangdao Campus and other places
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Publications (3)
The prediction of systems response time for different intensity of users requests, esp. identifying requests loads causing performance degradation becomes an important issue in the design of a e-commerce system. A method for modeling application server environment by the use of queueing networks has been proposed. The physical components of the env...
To run a smart e-commerce or provide efficient Web service, a Web services composition model is needed. Web services composition refers to the process of collaborating the heterogeneous Web services. In this paper, we use a queueing network model to evaluate the performance of composite Web services. So the Web services can run in an optimal way. T...
In this paper, we study an M/M/1 queue with single working vacation. Using quasi birth and death process and matrix-geometric solution method, we give the distributions for the number of customers and the virtual time in the system in steady state. Furthermore, we obtain expected busy period and expected busy cycle. Finally, we get the stochastic d...
Citations
... Liu et al. [16] proposed a matrix-analytic technique to investigate the M/M/1 queueing with multiple WV policy and stochastic decomposition findings. Tian et al. [33] investigated an M/M/1 queue with single WV. Zhang and Xu [37] used the matrix geometric technique to investigate an M/M/1 queue with working vacations and N-policy. ...
... However, it cannot satisfy the requirements of adaptive and automatic system management. In order to construct a self-adaptive composite service, different techniques such as simulated annealing, stochastic Petri net [11] are presented to accelerate service global selection. In this paper, we focus on this paper on modeling composite service configuration schema and service orchestration process. ...
... Model parameters, i.e. average service times and average visit counts, can be experimentally measured in a test environment. Model outputs are response times for different request classes as well as other parameters describing systems performance [12]. This paper is organized as follows. ...
