scholarly journals Communication Bandwidth Prediction Technology for Smart Power Distribution Business in Smart Parks

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3143
Author(s):  
Xia Zhou ◽  
Jianqiang Lu ◽  
Xiangpeng Xie ◽  
Chengjie Bu ◽  
Lei Wan ◽  
...  
Keyword(s):  
Service Quality ◽  
Poisson Process ◽  
Power Distribution ◽  
Buffer Management ◽  
Arrival Rate ◽  
Business Communication ◽  
Arrival Process ◽  
Communication Service ◽  
Smart Power ◽  
Data Packets

Accurate prediction of power business communication bandwidth is the premise for the effectiveness of power communication planning and the fundamental guarantee for regular operation of power businesses. To solve the problem of scientifically and reasonably allocating bandwidth resources in smart parks, communication bandwidth prediction technology of intelligent power distribution service for smart parks is proposed in this paper. First, the characteristics of mixed service data arrival rate of power distribution and communication mixed services in smart parks were analyzed. Poisson process and interrupted Poisson process were used to simulate periodic and sudden business of smart parks to realize accurate simulation of the business arrival process. Then, a service arrival rate model based on the Markov modulation Poisson process was constructed. An active buffer management mechanism was used to dynamically discard data packets according to the set threshold and achieve accurate simulation of the packet loss rate during the arrival of smart park business. At the same time, considering the communication service quality index and bandwidth resource utilization, a business communication bandwidth prediction model of smart parks was established to improve the accuracy of business bandwidth prediction. Finally, a smart power distribution room in a smart park was used as an application scenario to quantitatively analyze the relationship between the communication service quality and bandwidth configuration. According to the predicted bandwidth, the reliability and effectiveness of the proposed method were verified by comparison with the elastic coefficient method.

Stationary Poisson departure processes from non-stationary queues

1986 ◽  
Vol 23 (1) ◽  
pp. 256-260 ◽  
Author(s):  
Robert D. Foley
Keyword(s):  
Poisson Process ◽  
Service Time ◽  
Queueing Systems ◽  
Arrival Rate ◽  
Distribution Functions ◽  
Arrival Process ◽  
Service Time Distribution ◽  
Departure Process ◽  
Infinite Server ◽  
Departure Processes

We present some non-stationary infinite-server queueing systems with stationary Poisson departure processes. In Foley (1982), it was shown that the departure process from the Mt/Gt/∞ queue was a Poisson process, possibly non-stationary. The Mt/Gt/∞ queue is an infinite-server queue with a stationary or non-stationary Poisson arrival process and a general server in which the service time of a customer may depend upon the customer's arrival time. Mirasol (1963) pointed out that the departure process from the M/G/∞ queue is a stationary Poisson process. The question arose whether there are any other Mt/Gt/∞ queueing systems with stationary Poisson departure processes. For example, if the arrival rate is periodic, is it possible to select the service-time distribution functions to fluctuate in order to compensate for the fluctuations of the arrival rate? In this situation and in more general situations, it is possible to select the server such that the system yields a stationary Poisson departure process.

A monotonicity result for a single-server queue subject to a Markov-modulated Poisson process

1995 ◽  
Vol 32 (4) ◽  
pp. 1103-1111 ◽  
Author(s):  
Qing Du
Keyword(s):  
Poisson Process ◽  
Arrival Rate ◽  
Loss Probability ◽  
Arrival Process ◽  
Single Server ◽  
Single Server Queue ◽  
Markov Modulated Poisson Process ◽  
Server Queue ◽  
Monotonicity Result ◽  
Markov Modulated

Consider a single-server queue with zero buffer. The arrival process is a three-level Markov modulated Poisson process with an arbitrary transition matrix. The time the system remains at level i (i = 1, 2, 3) is exponentially distributed with rate cα i. The arrival rate at level i is λ i and the service time is exponentially distributed with rate μ i. In this paper we first derive an explicit formula for the loss probability and then prove that it is decreasing in the parameter c. This proves a conjecture of Ross and Rolski's for a single-server queue with zero buffer.

A monotonicity result for a single-server queue subject to a Markov-modulated Poisson process

1995 ◽  
Vol 32 (04) ◽  
pp. 1103-1111 ◽  
Author(s):  
Qing Du
Keyword(s):  
Poisson Process ◽  
Arrival Rate ◽  
Loss Probability ◽  
Arrival Process ◽  
Single Server ◽  
Single Server Queue ◽  
Markov Modulated Poisson Process ◽  
Server Queue ◽  
Monotonicity Result ◽  
Markov Modulated

Consider a single-server queue with zero buffer. The arrival process is a three-level Markov modulated Poisson process with an arbitrary transition matrix. The time the system remains at level i (i = 1, 2, 3) is exponentially distributed with rate cα i . The arrival rate at level i is λ i and the service time is exponentially distributed with rate μ i . In this paper we first derive an explicit formula for the loss probability and then prove that it is decreasing in the parameter c. This proves a conjecture of Ross and Rolski's for a single-server queue with zero buffer.

Stationary Poisson departure processes from non-stationary queues

1986 ◽  
Vol 23 (01) ◽  
pp. 256-260 ◽  
Author(s):  
Robert D. Foley
Keyword(s):  
Poisson Process ◽  
Service Time ◽  
Queueing Systems ◽  
Arrival Rate ◽  
Distribution Functions ◽  
Arrival Process ◽  
Service Time Distribution ◽  
Departure Process ◽  
Infinite Server ◽  
Departure Processes

We present some non-stationary infinite-server queueing systems with stationary Poisson departure processes. In Foley (1982), it was shown that the departure process from the Mt/Gt/∞ queue was a Poisson process, possibly non-stationary. The Mt/Gt /∞ queue is an infinite-server queue with a stationary or non-stationary Poisson arrival process and a general server in which the service time of a customer may depend upon the customer's arrival time. Mirasol (1963) pointed out that the departure process from the M/G/∞ queue is a stationary Poisson process. The question arose whether there are any other Mt/Gt/∞ queueing systems with stationary Poisson departure processes. For example, if the arrival rate is periodic, is it possible to select the service-time distribution functions to fluctuate in order to compensate for the fluctuations of the arrival rate? In this situation and in more general situations, it is possible to select the server such that the system yields a stationary Poisson departure process.

scholarly journals Verifying cell loss requirements in high-speed communication networks

1998 ◽  
Vol 11 (3) ◽  
pp. 319-338
Author(s):  
Kerry W. Fendick ◽  
Ward Whitt
Keyword(s):  
Poisson Process ◽  
Size Distribution ◽  
Communication Networks ◽  
High Speed ◽  
Arrival Rate ◽  
Cell Loss ◽  
Batch Size ◽  
Arrival Process ◽  
Queueing Model ◽  
Measurement Interval

In high-speed communication networks it is common to have requirements of very small cell loss probabilities due to buffer overflow. Losses are measured to verify that the cell loss requirements are being met, but it is not clear how to interpret such measurements. We propose methods for determining whether or not cell loss requirements are being met. A key idea is to look at the stream of losses as successive clusters of losses. Often clusters of losses, rather than individual losses, should be regarded as the important “loss events”. Thus we propose modeling the cell loss process by a batch Poisson stochastic process. Successive clusters of losses are assumed to arrive according to a Poisson process. Within each cluster, cell losses do not occur at a single time, but the distance between losses within a cluster should be negligible compared to the distance between clusters. Thus, for the purpose of estimating the cell loss probability, we ignore the spaces between successive cell losses in a cluster of losses. Asymptotic theory suggests that the counting process of losses initiating clusters often should be approximately a Poisson process even though the cell arrival process is not nearly Poisson. The batch Poisson model is relatively easy to test statistically and fit; e.g., the batch-size distribution and the batch arrival rate can readily be estimated from cell loss data. Since batch (cluster) sizes may be highly variable, it may be useful to focus on the number of batches instead of the number of cells in a measurement interval. We also propose a method for approximately determining the parameters of a special batch Poisson cell loss with geometric batch-size distribution from a queueing model of the buffer content. For this step, we use a reflected Brownian motion (RBM) approximation of a G/D/1/C queueing model. We also use the RBM model to estimate the input burstiness given the cell loss rate. In addition, we use the RBM model to determine whether the presence of losses should significantly affect the estimation of server utilization when both losses and utilizations are estimated from data. Overall, our analysis can serve as a basis for determining required observation intervals in order to reach conclusions with a solid statistical basis. Thus our analysis can help plan simulations as well as computer system measurements.

Optimal Control of a Model for a System Subject to Continuous Wear

1988 ◽  
Vol 2 (3) ◽  
pp. 321-328 ◽  
Author(s):  
Laurence A. Baxter ◽  
Eui Yong Lee
Keyword(s):  
Optimal Control ◽  
Brownian Motion ◽  
Poisson Process ◽  
Average Cost ◽  
Infinite Horizon ◽  
Arrival Rate ◽  
The State ◽  
Negative Drift ◽  
Random Amount

The state of a system is modelled by Brownian motion with negative drift and an absorbing barrier at the origin. A repairman arrives according to a Poisson process of rate λ. If the state of the system at arrival of the repairman does not exceed a certain threshold, he/she increases it by a random amount, otherwise no action is taken. Costs are assigned to each visit of the repairman, to each repair, and to the system being in state 0. It is shown that there exists a unique arrival rate λ which minimizes the average cost per unit time over an infinite horizon.

A Pilot Study of Brand Loyalty in Generation Y of Technical and Vocational Education Training Colleges

2021 ◽  
Vol 9 (4) ◽  
pp. 253-260
Author(s):  
Itani Listen Ramuthivheli ◽  
Dr Kirsty-Lee Sharp ◽  
Prof. Bongazana Dondolo
Keyword(s):  
Higher Education ◽  
Pilot Study ◽  
Service Quality ◽  
South African ◽  
Generation Y ◽  
Brand Loyalty ◽  
Correlation Coefficients ◽  
Communication Service ◽  
Brand Communication ◽  
Brand Satisfaction

Objective - In an increasingly changing and dynamic South African higher education landscape, institutions must communicate their brand to stakeholders to perceive the institution as offering quality services,to have a loyal stakeholder. However, thereseemsto be little attention devoted to the influence of brand communication, brand satisfaction and service quality on brand loyalty in higher education, particularly in the Technical and Vocational Education and Training (TVET) sector. Considering this view, and noting that prior research on brand loyalty in the service sector has shown a connection between brand communication, service quality, brand satisfaction and brand loyalty, it is unknown if a similar correlation is found in the South African TVET sector. Therefore, it is necessary to investigate Generation Y students' views of brand communication, brand satisfaction and service quality in the TVET sector throughout the Gauteng Province of South Africa.As a result, this paper summarises the findings of a pilot study to establish the validity and reliability of a questionnaire used to examine Generation Y students' perceptions of brand communication, brand satisfaction and service quality related to brand loyalty in Gauteng TVET colleges. Methodology/Technique - The variables for the paper were derived from previously established questionnaires. A section of the questionnaire asked students about their views of a TVET's brand communication. Additionally, there were questions concerning the quality of service, brand selection and brand loyalty. Finally, all scale items were modified to be more contextually relevant.The questionnaire used a six-point Likert scale, with 1 indicating strong disagreement and 6 indicating strong agreement. The questionnaire was piloted with a convenience sample of 50 students not included in the primary study's sampling frame. Finding - The overall number of respondents (46) was insufficient to undertake extensive statistical testing. As a result, only frequency and correlation coefficients were computed. Correlation analysis revealed a substantial association between brand loyalty and the variables that influence it. All had a strong association between brand loyalty and brand communication, service quality and brand loyalty and satisfaction. Additionally, there were substantial correlationsbetween service quality and brand satisfaction and between service quality and brand communication. Correlation coefficients between constructs ranged from 0.294 to 0.781. This demonstrates that these constructs do not correspond to the same concept. As a result, all construct items were kept for use in the main study. Novelty - The results from the pilot study provides preliminary support for the hypothesised relationship between brand loyalty and its predictors. Marketers and service organisations need to recognise that the future patronage of a service organisation depends on loyalty. Type of Paper - Empirical Keywords: Brand Communication; Service Quality; Brand Satisfaction; Brand Loyalty; Technical and Vocational Training JEL Classification: M31, I23, I29

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