The Quality of Service works on the overall performance where the quality of service is related to the error rates, bit rate, throughput and the transmission delay. The computer networking and the packet switched networks, with the quality of service refers to the traffic prioritization. OPNET model works on the traffic classifier with performance analysis is through the voice queue pf_fifo, video and best effort queue. (lai et al., 2016). The mixed queue is set with the processor that pull the incoming packets from the mixed queue. The identification is for the respective queues along with the exponential terms with mean inter arrival of 10 seconds and payload mean value of 50 bytes.
OPNET simulator works on the simulation of the behaviour and the performance where the simulation is mainly for testing the changes with the effect of the analysis and the reliability pattern. The associated forms are based on the viable options to make the choice of building and then modifying the performance based on the network standards. The simulation has been performed using Network Simulation tool OPNET, which is an open source windows based simulation tool. The work has been based on the high level language using the .NED files. The simulation has been through the serial communication and the real time communication that has been carried on the browser. OPNET++ is a discrete event simulator. It has C++ based simulation library. (Sharma et al., 2016). It has a nice framework built. OPNET++ have so far been the best simulation software for roadmaps, which we have used. This is because, it has a nice library support for roadmap simulations and it has a GUI based simulation editor, in which the simulation environment (roadmap) can be created in form of a .NED file. The INET framework of OPNET++ has been used in the simulation. It supports roadmap simulations, along with other networking protocols like UDP, TCP, IP and wireless network simulations. (David et al., 2016).
Working on software
We have solved the speed issue by running a cycle of continuous broadcast, at an interval, which can be simulated using OPNET++. For the project, there is a need to create it, work on the baseline scenario, import or create the topology and then import or create the traffic. It is important to choose the results and the reports can easily be collected from this with duplicate scenario. The comparison of the results is working on the three-tiered OPNET where the node model specifies the object which are in the network domain. The process model is able to specify the node domain where the nodes, links and the subnets are set for the network devices and the group of devices. (Zhang et al., 2016). The links are mainly to represent the point-to-point and the bus links which are for the assistance of the user in the quick location to correct the nodes and the links. The node domains are based on the basic building blocks which also include the processor and the transceivers. The interfaces are between the modules and the packet streams through the static wires where the entire processing of the model consists of the state transition diagrams. The blocks are for the C code where the kernel procedures have been set with the state variables and the temporary variable standards. The instance for the process model is for the creation of child process which response to the interrupts. There have been different outputs for the vectors, scalars and the animations with the packet flows and node movements. The objects have a pre-defined statistics where the throughput, bit received and the forwarded bits are set depending upon how the events are simulated. (Guo et al., 2016). The OPNET simulation works on the event driven patterns where there is a time advancement that will occur when the event occurs. The major focus is on the accuracy of the results by the sampling resolution. The simulation is found to be inefficient when there is nothing for the longer time. The event list concepts are for sharing the simulation time, clock with the events that are scheduled in the timely order. The forced state is the process with enter and that exists with the transition that is traversed to the next state. The simulation is set with the termination in four ways where:
- The event has been listed and is emptied.
- The simulation attribute works on the duration that has been expired.
- The process calls are for the termination where one can use KP op_sim_end()
- There is occurrence of a fatal error.
With the advancement of time, the simulation works on the event where the time is processed and worked on from the list of events. There has been simulation that occurs at the execution with no time elapse at the transition between the states. (Zhang et al., 2016). The process model also works on the unforced state so that there is easy advancement and avoidance of the endless looping.
The work has been done on the throughput and analysing the traffic type which has been computed at the processor to the designed module. The standards are set in the network for the proper simulation and then time formulation. There have been queues in the report which are important for the communication and networking. The stacks are set with the passive and active queues where the traffic classifier are important. (Aneiba et al., 2016). OPNET works on the network development where the communication is based on the graphical user interface mainly to enable the developing models from the actual world network. The network planning is for the proper analysis of the performance and the problems which are prior to the implementation. OPNET has been significant simulation with the ability to modify the memory of the utilization at the time of simulation. It also works on the execution and the ability to modify the network parameters which see that the effect of these changes is found in immediate.
Lai, Y. H. R., Chu, J. Y., & Petrick, J. F. (2016). Examining the relationships between perceived value, service quality, satisfaction, and willingness to revisit a theme park.
Sharma, A., & Dhaliwal, D. K. (2016). Simulation Based Analysis of Jamming Attack in OLSR, GRP, TORA and Improvement with PCF in TORA using OPNET tool.
Aneiba, A., & Chibelushi, C. C. (2016). OPNET-Based Performance Analysis of a Multi-agent Architecture for Managing the Mobile Content Delivery Process. In Information Science and Applications (ICISA) 2016 (pp. 127-137). Springer Singapore.
David, N., Anyakoha, C., & Agbo, H. (2016). OPNET based simulation for Rural Educational ICT Connectivity. International Journal of Scientific & Engineering Research, 7(4), 1499-1504.
Zhang, Q. L., He, R. X., Lin, B., Li, S., & Wang, Y. (2016). OPNET-based modeling and simulations on dynamic bandwidth allocation algorithms in long-reach passive optical networks. In Wireless Communication and Sensor Network: Proceedings of the International Conference on Wireless Communication and Sensor Network (WCSN 2015) (pp. 908-916).
Kumar, S., Islam, S., Das, N., & Gardner, B. (2016). NCIT Enabled OPNET Based Design of a Digital Substation for IEC 61850-9-2 Implementation. IEEE Transactions on Power Delivery.
Guo, Y. L., Pan, Y., & Cai, L. (2016, June). OPNET-based analysis of MTU impact on application performance. In Computer and Information Science (ICIS), 2016 IEEE/ACIS 15th International Conference on (pp. 1-5). IEEE.