multiple server


Mean value analysis approximation for multiple server queueing networks
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An approximation of mean value analysis is presented for queueing networks containing multiple server stations. The approximation is based on the estimation of the conditional marginal probabilities used by the mean residence time formula in mean value analysis. A

Approximate mean value analysis for closed queuing networks with multiple – server stations
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Abstract Closed Queueing Networks are used in modeling various systems such as FMS, CONWIP Material Control, Computer/Communication Systems, and Health Care. Mean Value Analysis (MVA) is often used to compute the performance measures for these models

Design, staffing and control of large service systems: The case of a single customer class and multiple server types
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Motivated by modern call centers, we consider large-scale service systems with multiple server pools and a single customer class. For such systems, we propose simple staffing rules which asymptotically minimize staffing costs. The minimization is subject to constraints

Analysis of M/G/1 feedback queue with three stage and multiple server vacation
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We consider an M/G/1 queue with three stages of service with different general service time distributions. Bernoulli feedback and multiple server vacation, where the arrivals are Poisson. After first stage service, the server must provide the third stage service. However

Composing multiple-client- multiple – server synchronizations
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ABSTRACT A considerable number of language mechanisms have been proposed during recent years, to specify and implement concurrent object-oriented programs. The major concern of these proposals is to design an expressive language that provides extensible

Optimal service capacity in a multiple – server queueing system: A game theory approach
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The study of economic behavior of service providers in a competition environment is an important and interesting research issue. A two-server service network has been proposed in Kalai et al.[10] for this purpose. Their model aims at studying the role and impact of

A Comparison of Single Server and Multiple Server Queuing Models in Different Departments of Hospitals
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Queuing theory is the branch of Operations research in applied mathematics and deals with phenomenon of waiting lines. Queuing theory is concerned with the mathematical modeling and analysis of systems which provides service to random demands. In this paper, we have

Perishable inventory system at service facilities with multiple server vacations and impatient customers
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This article presents a perishable inventory system under continuous review at a service facility in which a waiting area for customers is of finite size M. We assume that the replenishment of inventory is instantaneous. The items of inventory have exponential life

Simulation Results on Multiple Sporadic Server Mechanism
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defined task sets, simulation results and analysis. Chapter 6 outlines multiple server mechanism behavior and provides guidelines for future work. 2. Rescheduling 2.1. Rescheduling fundamentals

Comparative study of waiting and service costs of single and multiple server system: A case study on an outpatient department
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Hospital management tradeoffs always exist between the costs in providing better service and waiting time of patients in any hospital. The objective of this study was to investigate whether increasing the cost for better service decreases the cost of patients waiting time or

Multi phase M/G/1 queue with Bernoulli feedback and multiple server vacation
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In this paper, a multi phase M/G/1queueing system with Bernoulli feedback where the server takes multiple vacation is considered. All the poisson arrivals with mean arrival rate will demand any of the multi essential services.. The service times of the first essential service

The Multiple Single Server Queueing System
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We use properties of single server and multiple server queuing systems to develop our Multiple Single Server Queuing System Multiple Server System: A system with one queue and multiple servers such that a customer has the freedom to choose any server available

Solving multiple – server queues in rough environment
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ABSTRACT; In this Paper a queue in rough environment is considered in which the arrival ea-, are rough interval numbers. A new method namely, multi-level method is proposed to determine the performance measures in the given queueing system as rough

Cryptanalysis of Multiple – Server Password-Authenticated Key Agreement Schemes Using Smart
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Password-based user-authentication schemes have been widely used when users access a server to avail internet services. Multiserver password-authentication schemes enable remote users to obtain service from multiple servers without separately registering with each

ANALYSIS OF MULTIPLE-QUEUE MULTIPLE – SERVER QUEUING SYSTEM: A CASE STUDY OF FIRST BANK NIG. PLC, AFIKPO BRANCH
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Optimization of load distribution and balancing Over multiple server in cloud
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Performance of the cloud of can be optimized by load distribution and balancing. Energy efficiency is one of the most important issues for large-scale server systems in current and future data centers. The multi service processor technology provides new levels of

The multiple – server queue with heterogeneous service times
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The author wishes to express his sincere thanks to Dr. Robert B. Cooper, who acted as thesis advisor, and who provided the topic which was studied herein. Dr. Cooper has also explored this topic in detail, resulting in his research paper which is listed in the references

Necessary and Sufficient Stability Condition of Multiserver Model with Simultaneous Multiple Server Use
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Queues in which customers receive simultaneous service from a random number of servers: A system point approach. Management Science, 51 68. Exact stability condition for 2-server system (without proof). Waiting time distribution

Three Phase M/G/1 queue with Bernoulli Feedback and Multiple server vacation
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In this paper, a three phase M/G/1 queueing system with Bernoulli feedback where the server takes multiple vacation is considered. All the poisson arrivals with mean arrival rate demand first essential service. Only some of them demand second optional service or third



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