Note—Computing Time-Dependent Waiting Time Probabilities inM(t)/M/s(t)Queuing Systems

2007 ◽  
Vol 9 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Linda V. Green ◽  
João Soares
2020 ◽  
Vol 202 ◽  
pp. 15005
Author(s):  
Sugito ◽  
Alan Prahutama ◽  
Dwi Ispriyanti ◽  
Mustafid

The Population and Civil Registry Office in Semarang city is one of the public service units. In the public service sector, visitor / customer satisfaction is very important. It can be identified by the length of the queue, the longer visitors queue this results in visitor dissatisfaction with the service. Queue analysis is one of the methods in statistics to determine the distribution of queuing systems that occur within a system. In this study, a queuing analysis as divided into two periods. The first period lasts from 2-13 March 2015, while the second period lasts November 16th to December 20th 2019. The variables used are the number of visitors and the service time at each counter in intervals of 30 minutes. The results obtained are changes in the distribution and queuing model that is at counter 5/6 and counter 10. The queuing model obtained at the second perideo for the number of visitors and the time of service with a General distribution. The average number of visitors who come in 30 minute intervals in the second period is more than the first period, this indicates an increase in visitors. The opportunity for service units is still small, the waiting time in the queue is getting smaller. This shows that the performance of the queuing system at the Semarang Population and Civil Registry Office is getting better.


2002 ◽  
Vol 12 (9) ◽  
pp. 319-320
Author(s):  
T. Nitta ◽  
H. Haga ◽  
K. Kawabata

We measured the static friction force of agar gel-on-glass plate in water. The static friction force is independent of the apparent contact area between the agar gel and the glass plate. It increases with waiting time, that is, contact duration prior to motion. The static friction force is represented well by a power law of waiting time. The waiting time dependence is different from those of solid-on-solid systems. These results are discussed, based on asperity contact model.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 45359-45371 ◽  
Author(s):  
Qiuhong Xiang ◽  
Weibing Li ◽  
Bolin Liao ◽  
Zhiguan Huang

2005 ◽  
Vol 8 (03) ◽  
pp. 240-247 ◽  
Author(s):  
A. Rashid Hasan ◽  
C. Shah Kabir ◽  
Dongqing Lin

Summary Questions arise whether bottomhole pressures (BHPs), derived from their wellhead counterpart (WHP), lend themselves to transient analysis. That is because considerable heat exchange may affect the wellbore-density profile, thereby making the WHP translation a nontrivial exercise. In other words, gas density is dependent on both spatial locations in the wellbore and time during transient testing. Fully coupled wellbore/reservoir simulators are available to tackle this situation. However, they are not readily adaptable for their numeric formulations. This paper presents analytic expressions, derived from first principles, for computing time-dependent fluid temperature at any point in the wellbore during both drawdown and buildup testing. The simplicity of the analytic expressions for Tf (z, t) is profound in that one can compute flowing or shut-in BHPs on a spreadsheet. Two tests were considered to verify the new analytic formulae. In one case, measurements were available at both sandface and surface, and partial wellhead information was available in the other case. We explored a parametric study to assess whether a given wellbore/reservoir system will lend itself to wellhead measurements for valid transient analysis. Reservoir flow capacity (kh) turned out to be the most influential variable. Introduction Gas-well testing is sometimes conducted by measuring pressures at the wellhead. Both cost and circumstance (high pressure/high temperature, or HP/HT)often necessitate WHP monitoring or running the risk of having no tests at all. Methods for computing BHP from wellhead pressures for steady flow in gas wells are well established in the literature. For dry-gas wells, the widely used method of Cullender and Smith is most accurate, as confirmed by subsequent studies. For wet gas, either a two-phase model, such as the one offered by Govier and Fogarasi, or the modified Cullender-Smith approach appears satisfactory. However, these methods apply to steady-state gas flow and implicitly presuppose that the wellbore is in thermal equilibrium with the formation. These assumptions may be tested during a transient test. That is because unsteady-state wellbore heat transfer occurs even after the cessation of the wellbore-fluid-storage period. Steady-state fluid flow ordinarily implies the absence of wellbore effects from the viewpoint of transient testing. Consequently, one needs to develop working equations by conserving mass, momentum, and energy in the wellbore to capture physical phenomena. Earlier, we presented a forward model and showed its capability to reproduce BHP, WHP, and wellhead temperature (WHT) given reservoir and wellbore parameters. However, translation of WHP to BHP was not demonstrated clearly. The intent of this work is to present a framework for rigorous computation of BHP from WHP. To achieve this objective, we developed analytic expressions for depth- and time-dependent fluid temperature during both flow and shut-in tests. These temperature relations, in turn, allow computation of gas density and, therefore, pressure at any point in the wellbore.


Author(s):  
Vladimir Bogatyrev ◽  
Stanislav Bogatyrev ◽  
Anatoly Bogatyrev

With the increasing complexity of distributed control tasks based on their intellectualization, there are problems of insufficient time and computing resources for functioning in real time. In this regard, there is a need to develop methods for organizing distributed real-time computer systems, based on the consolidation of distributed computing resources with their integration into clusters. The possibilities of increasing the probability of timely servicing of waiting- critical requests in the cluster as a result of query replication and controlling the time of destruction of potentially expired replicas in node queues are investigated. The cluster is represented as a group of queuing systems with infinite queues with a limited average waiting time. The effectiveness of the reserved service of a real-time request is determined by the probability of executing at least one of the generated copies of the request in the maximum allowable time without losing it due to errors and waiting time limits in the queues of cluster nodes. It is shown that there is an optimal multiplicity of query replication with a significant influence of the choice of restrictions on the waiting time for requests in queues before they are destroyed.


1979 ◽  
Vol 18 (02) ◽  
pp. 84-88 ◽  
Author(s):  
H. Prestele ◽  
W. Gaus ◽  
L. Horbach

A three stop procedure is proposed for the comparison of groups, where for each individual a process is investigated on the basis of repeated measurements (e.g. 3 up to about 15 time points).1. A natural cubic spline function is fitted to the time-dependent measurements of each individual. A cubic spline is a function which is composed of piecewise polynomials, continuous up to and including second derivatives; it has a minimal »curvature«, so that a »smooth« curve is generated.2. For each individual the value of a problem-oriented parameter is estimated from the spline function.3. The values of the problem-oriented parameter are evaluated with standard, not necessarily longitudinal methods for estimating and hypothesis testing.The proposed procedure requires neither an equal number of measurements for each individual, nor the same time points of measurement for all individuals, nor equal length of the time intervals. Splines can be fitted to very different patterns of curves. They can be used for a more exact calculation of parameters adequate to the problem concerned. The procedure necessitates the use of a computer; programs are available and do not demand excessive arithmetic precision and computing time.


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