Composite multiprocess and multithread multi-network concurrence dynamic simulation method

Abstract

The invention discloses a composite multiprocess and multithread multi-network concurrence dynamic simulation method. The method includes the steps that each Client_* corresponds to a sample network, interface adapters of the Clients_* convert all external messages into NUI_REQs and submit the messages to the system service management process of a server through a TCP / IP, NUI_REQ relevant parameters are analyzed by calling a Parameter_Resolve self-defining function, a multi-sample network separation module is called to establish subprocesses, and the relevant parameters are introduced; the Clients_* and the subprocesses are matched to correspond to the corresponding sample networks respectively, and when virtual UEs between the networks are switched, an SMA shared memory domain model is used for achieving switching; four processing threads are pre-established by the subprocesses, and the four processing threads correspond to a network simulation module, a communication module, a network evaluation module and a service node management module respectively. A thread pool is used for processing a service node queue which is composed of numerous service nodes in background flow, and the efficiency is improved in a multiplied mode compared with a method that a single thread is used for processing the service node queues of the entire sample networks.

Description

technical field [0001] The invention belongs to the field of simulation, and in particular relates to a multi-network concurrent dynamic simulation method with compound multi-process and multi-thread. Background technique [0002] With the rapid development of mobile communication technology, the corresponding simulation technology has also developed from protocol-level static simulation to system-level dynamic simulation. Since system-level dynamic simulation involves a large number of calculations and the processing of business nodes in the background network, the simulation time , Simulation efficiency has become the bottleneck of dynamic simulation system. In order to eliminate this bottleneck and make full use of multi-core processors and their increasingly mature hardware systems, concurrent architectures can be used to fully tap the potential of the processors to improve the stability and efficiency of the simulation system and shorten the time for dynamic network sim...

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Problems solved by technology

[0004] Aiming at the problem of poor system stability and inefficiency in the concurrent dynamic simulation of multi-sample networks in the prior art, considering the relative independence between multiple sample networks in the multi-network dynamic simulation system, we strive to stabilize the dynamic simulation of each sample network , so using multiple processes to achieve

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