scholarly journals Two-level stochastic fluid tandem queuing model for burst impact analysis

2007 ◽  
Author(s):  
Yong Huang ◽  
Yong Liu ◽  
Weibo Gong ◽  
Don Towsley
Keyword(s):  
Impact Analysis ◽  
Queuing Model ◽  
Tandem Queuing ◽  
Stochastic Fluid

scholarly journals Multi Node Tandem Queuing Model with Bulk Arrivals Having Geometric Arrival Distribution

2019 ◽  
Vol 8 (3) ◽  
pp. 1113-1137
Keyword(s):  
Geometric Distribution ◽  
Queuing Model ◽  
Service Station ◽  
Parallel Queues ◽  
Service Distribution ◽  
Distribution Parameters ◽  
In Series ◽  
Service Rates ◽  
Tandem Queuing ◽  
Number Of Customers

In this paper a K-node forked queuing model with load dependent service rates is analysed. Here it is assumed that the customers arrive to the first queue in batches and wait for service. After getting service at first service station with some probability they may join any one of the (K-1) parallel queues which are connected to first queue in series and exit from the system after getting service. It is assumed that the arrival and service completions follow Poisson processes and service rates depend on number of customers in the queue connected to it. The influence of Geometrically distributed bulk arrivals on this queuing model is studied. Sensitivity analysis of the system behaviour with regards to the arrival rates and load dependent service distribution parameters is carried out. The influence of these parameters on system performance measures such as average number of customers, waiting time of customer, variation of number of customers in each queue, throughput of each service station, utilization of each server are derived explicitly when arrivals follow a Geometric distribution. Simulations are carried out to illustrate the result.

scholarly journals Multi Node Tandem Queuing Model with Binomial Bulk Size Distribution Having Load Dependent Service

2020 ◽  
Vol 9 (3) ◽  
pp. 177-199
Keyword(s):  
Joint Probability ◽  
Queuing Model ◽  
State Behavior ◽  
Numerical Illustration ◽  
Distribution Parameters ◽  
In Series ◽  
Service Rates ◽  
And Performance ◽  
Tandem Queuing ◽  
Number Of Customers

In this article we study a multi node tandem queuing model consisting of K-nodes in which the customers arriving in batches to the first queue and after receiving service they will be directed with some node specific probability to join any one of the (K-1) parallel queues which are connected to first queue in series and exit from the system after getting service. It is assumed that the arrival and service completions follow Poisson processes and service rates depend on number of customers in the queue connected to it. Here the bulk arrivals are assumed to be Binomially distributed. Using difference differential equations the joint probability function is derived and performance measures such as average number of customers, waiting time of customer, throughput of each service station, utilization of each server, variance of number of customers in each queue are derived explicitly. A numerical illustration is provided to understand the theoretical results. Sensitivity analysis of the system behavior with regards to the arrival rates and load dependent service distribution parameters is carried out. A comparison between transient and study state behavior is also done .

Adverse Impact Analysis: Contemporary Perspectives and Practices

2011 ◽  
Author(s):  
Eric M. Dunleavy ◽  
Nancy T. Tippins ◽  
Frederick L. Oswald
Keyword(s):  
Impact Analysis ◽  
Adverse Impact

Integrated Traffic Impact Analysis Process for Urban Renewal

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yanli Wang ◽  
Hao Sun ◽  
Sicheng Hao ◽  
Bing Wu
Keyword(s):  
Urban Renewal ◽  
Impact Analysis ◽  
Analysis Process ◽  
Traffic Impact

The Impact of a Potential Public/Private Initiative on a Defined Region of the South Suburban Chicago Metropolitan Area

2019 ◽  
pp. 14-32
Keyword(s):  
Supply Chain ◽  
Economic Impact ◽  
Impact Analysis ◽  
Census Data ◽  
Economic Benefits ◽  
Local Economy ◽  
Market Area ◽  
State And Local ◽  
The University ◽  
The Impact

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).

Queuing Model Based Data Centers: A Review

2019 ◽  
Vol 123 ◽  
pp. 11-20 ◽  
Author(s):  
N. Thirupathi Rao ◽  
Debnath Bhattacharyya ◽  
S. Naga Mallik Raj
Keyword(s):  
Data Centers ◽  
Queuing Model ◽  
Model Based
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