Validation of a computer performance model of the exponential queuing network family

The paper presents original object oriented programming system ARS for modelling and simulation queuing systems. Programming system was developed in programming language C++. It establishes connection with intrinsic, but also with other Windows programming packages, in a simple way, through object oriented environment. Basic characteristics and possibilities of programming system, as well as comparative analysis of simulators: mathematical model (analytical solution) - GPSS/H - ARS, on the example of closed queuing network in the paper is given. The significant application for computer performance evaluation is reported.

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Queuing Network Performance Model for Evaluation of CMP-Based VoIP SPS

Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008) ◽

10.1109/icis.2008.17 ◽

2008 ◽

Cited By ~ 1

Author(s):

Jiuzhen Jin ◽

Jianmin Pang ◽

Zheng Shan ◽

Rongcai Zhao

Keyword(s):

Network Performance ◽

Performance Model ◽

Queuing Network

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Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network

Electronics ◽

10.3390/electronics10212626 ◽

2021 ◽

Vol 10 (21) ◽

pp. 2626

Author(s):

Leonel Feitosa ◽

Glauber Gonçalves ◽

Tuan Anh Nguyen ◽

Jae Woo Lee ◽

Francisco Airton Silva

Keyword(s):

Performance Evaluation ◽

System Performance ◽

Performance Metrics ◽

Performance Model ◽

Edge Computing ◽

Evaluation Methodology ◽

The Internet ◽

Queuing Network ◽

System Components ◽

The Impact

The Internet of Robotic Things (IoRT) has emerged as a promising computing paradigm integrating the cloud/fog/edge computing continuum in the Internet of Things (IoT) to optimize the operations of intelligent robotic agents in factories. A single robot agent at the edge of the network can comprise hundreds of sensors and actuators; thus, the tasks performed by multiple agents can be computationally expensive, which are often possible by offloading the computing tasks to the distant computing resources in the cloud or fog computing layers. In this context, it is of paramount importance to assimilate the performance impact of different system components and parameters in an IoRT infrastructure to provide IoRT system designers with tools to assess the performance of their manufacturing projects at different stages of development. Therefore, we propose in this article a performance evaluation methodology based on the D/M/c/K/FCFS queuing network pattern and present a queuing-network-based performance model for the performance assessment of compatible IoRT systems associated with the edge, fog, and cloud computing paradigms. To find the factors that expose the highest impact on the system performance in practical scenarios, a sensitivity analysis using the Design of Experiments (DoE) was performed on the proposed performance model. On the outputs obtained by the DoE, comprehensive performance analyses were conducted to assimilate the impact of different routing strategies and the variation in the capacity of the system components. The analysis results indicated that the proposed model enables the evaluation of how different configurations of the components of the IoRT architecture impact the system performance through different performance metrics of interest including the (i) mean response time, (ii) utilization of components, (iii) number of messages, and (iv) drop rate. This study can help improve the operation and management of IoRT infrastructures associated with the cloud/fog/edge computing continuum in practice.

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Approximating response time distributions in closed queuing network models of computer performance

Performance Evaluation ◽

10.1016/0166-5316(81)90031-6 ◽

1981 ◽

Vol 1 (2) ◽

pp. 193

Keyword(s):

Response Time ◽

Network Models ◽

Queuing Network ◽

Computer Performance ◽

Response Time Distributions

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Potential fuel savings due to hybrid laminar flow control under operational conditions

The Aeronautical Journal ◽

10.1017/s0001924000012525 ◽

2001 ◽

Vol 105 (1052) ◽

pp. 581-588 ◽

Cited By ~ 8

Author(s):

T. M. Young ◽

J. P. Fielding

Keyword(s):

Laminar Flow ◽

Flow Control ◽

Particle Flux ◽

Extreme Case ◽

Performance Model ◽

Computer Performance ◽

Operational Conditions ◽

Fuel Savings ◽

Laminar Flow Control ◽

The Impact

Hybrid laminar flow control (HLFC) is an active drag reduction technique that permits extended laminar flow on an aircraft surface and thus offers the potential for significant fuel savings. This is at the expense of an increase in system weight and specific fuel consumption. An overview of HLFC system failure types and consequences is presented as an introduction to this study, which investigated the impact of a potential loss of laminar flow due to flight in cirrus clouds. At typical cruising altitudes, the ice crystals are of a sufficient size and may result in sufficient particle flux to cause a temporary transition of the boundary layer. A computer performance model of a twin engine aircraft in the class of the Boeing 757 has been used to study the impact of alternative fuel planning scenarios on the fuel consumed by a HLFC aircraft, taking into account a model of probable cloud encounter. Based on the models, the study showed that if the fuel planning assumed 25% time-in-cloud (TIC) during the cruise, then in the extreme case of 55% TIC during the cruise, the contingency fuel (taken as 3% of the trip fuel), would be sufficient for the aircraft to complete the mission (including the alternate leg and hold).

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