Service Discipline

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Joris Walraevens - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of a queueing model with two dedicated servers and a global FCFS Service Discipline
    2020
    Co-Authors: Herwig Bruneel, Willem Melange, Bart Steyaert, Joris Walraevens
    Abstract:

    We consider a simple queueing model with two types of customers each having their own dedicated server. The system uses a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue. As a consequence, customers of one type may be blocked by customers of the other type, in that they may be unable to reach their dedicated server even at times when this server is idle. One major aim of the work is to estimate the negative impact of this phenomenon on the performance of the system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • A two-class queueing model with class clustering and global FCFS Service Discipline
    2020
    Co-Authors: Willem Melange, Herwig Bruneel, Bart Steyaert, Joris Walraevens
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. "Class clustering" ,i.e., customers of any given type may (or may not) have a tendency to "arrive back-to-back", is a concept that we believe is often neglected in literature, but as it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class in our system, the major aim of this paper is to estimate the impact of the degree of class clustering in our system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • the impact of a global fcfs Service Discipline in a two class queue with dedicated servers
    Computers & Operations Research, 2016
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server. We assume that customers all queue together and are served in the order of arrival, regardless of the class they belong to. This global FCFS Service Discipline creates a blocking effect: if a customer of one type is in the front of the queue, the customers of the other type will not be able to pass it and start their Service, even if their server is idle. We want to analyse this blocking effect in the current paper. To this end, two systems, one with and one without blocking effect, are analyzed and compared in terms of total and per-type system occupancy and customer delay. The motivation of our work is real systems where this kind of blocking is encountered, such as road junctions and security checkpoints. HighlightsWe studied a two-class, continuous-time queue with class-dedicated servers.Comparison between a system with a global and per-class FCFS Service Discipline.Distributions of the total and per-type system occupancies and customer delays.Uncovered the negative impact of a global FCFS Service Discipline.Well balanced system performs best when handling a high load.

  • the impact of class clustering on a system with a global fcfs Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

  • ASMTA - The Impact of Class Clustering on a System with a Global FCFS Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

Herwig Bruneel - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of a queueing model with two dedicated servers and a global FCFS Service Discipline
    2020
    Co-Authors: Herwig Bruneel, Willem Melange, Bart Steyaert, Joris Walraevens
    Abstract:

    We consider a simple queueing model with two types of customers each having their own dedicated server. The system uses a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue. As a consequence, customers of one type may be blocked by customers of the other type, in that they may be unable to reach their dedicated server even at times when this server is idle. One major aim of the work is to estimate the negative impact of this phenomenon on the performance of the system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • A two-class queueing model with class clustering and global FCFS Service Discipline
    2020
    Co-Authors: Willem Melange, Herwig Bruneel, Bart Steyaert, Joris Walraevens
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. "Class clustering" ,i.e., customers of any given type may (or may not) have a tendency to "arrive back-to-back", is a concept that we believe is often neglected in literature, but as it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class in our system, the major aim of this paper is to estimate the impact of the degree of class clustering in our system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • the impact of a global fcfs Service Discipline in a two class queue with dedicated servers
    Computers & Operations Research, 2016
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server. We assume that customers all queue together and are served in the order of arrival, regardless of the class they belong to. This global FCFS Service Discipline creates a blocking effect: if a customer of one type is in the front of the queue, the customers of the other type will not be able to pass it and start their Service, even if their server is idle. We want to analyse this blocking effect in the current paper. To this end, two systems, one with and one without blocking effect, are analyzed and compared in terms of total and per-type system occupancy and customer delay. The motivation of our work is real systems where this kind of blocking is encountered, such as road junctions and security checkpoints. HighlightsWe studied a two-class, continuous-time queue with class-dedicated servers.Comparison between a system with a global and per-class FCFS Service Discipline.Distributions of the total and per-type system occupancies and customer delays.Uncovered the negative impact of a global FCFS Service Discipline.Well balanced system performs best when handling a high load.

  • the impact of class clustering on a system with a global fcfs Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

  • ASMTA - The Impact of Class Clustering on a System with a Global FCFS Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

Weihua Zhuang - One of the best experts on this subject based on the ideXlab platform.

  • GLOBECOM - Service response time of elastic data traffic in cognitive radio networks with SPT Service Discipline
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Subodha Gunawardena, Weihua Zhuang
    Abstract:

    Cognitive radio networks (CRNs) have emerged as a promising solution to spectrum under-utilization and congestion. Supporting quality of Service (QoS)-aware Services over CRNs is always challenging due to the random spectrum availability. In this work, we consider a single channel CRN with centralized control, operating over a time-slotted primary network, accessing the channel at the spectrum holes without interfering with primary users. The central controller transmits elastic data traffic to the secondary users (SUs). The Service response time is an important QoS parameter for elastic data traffic, defined as the duration from the instant that an SU requests a data file from the central controller until it completes the reception. We analyze the response time under the shortest processing time (SPT) first Service Discipline, and compare it with the processor sharing (PS) Service Discipline. We show that the SPT Service Discipline outperforms the PS Service Discipline in medium and heavy traffic load conditions. The response time analysis can be used for call admission control to ensure Service satisfaction.

  • Service response time of elastic data traffic in cognitive radio networks with SPT Service Discipline
    2012 IEEE Global Communications Conference (GLOBECOM), 2012
    Co-Authors: Subodha Gunawardena, Weihua Zhuang
    Abstract:

    Cognitive radio networks (CRNs) have emerged as a promising solution to spectrum under-utilization and congestion. Supporting quality of Service (QoS)-aware Services over CRNs is always challenging due to the random spectrum availability. In this work, we consider a single channel CRN with centralized control, operating over a time-slotted primary network, accessing the channel at the spectrum holes without interfering with primary users. The central controller transmits elastic data traffic to the secondary users (SUs). The Service response time is an important QoS parameter for elastic data traffic, defined as the duration from the instant that an SU requests a data file from the central controller until it completes the reception. We analyze the response time under the shortest processing time (SPT) first Service Discipline, and compare it with the processor sharing (PS) Service Discipline. We show that the SPT Service Discipline outperforms the PS Service Discipline in medium and heavy traffic load conditions. The response time analysis can be used for call admission control to ensure Service satisfaction.

Willem Melange - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of a queueing model with two dedicated servers and a global FCFS Service Discipline
    2020
    Co-Authors: Herwig Bruneel, Willem Melange, Bart Steyaert, Joris Walraevens
    Abstract:

    We consider a simple queueing model with two types of customers each having their own dedicated server. The system uses a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue. As a consequence, customers of one type may be blocked by customers of the other type, in that they may be unable to reach their dedicated server even at times when this server is idle. One major aim of the work is to estimate the negative impact of this phenomenon on the performance of the system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • A two-class queueing model with class clustering and global FCFS Service Discipline
    2020
    Co-Authors: Willem Melange, Herwig Bruneel, Bart Steyaert, Joris Walraevens
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. "Class clustering" ,i.e., customers of any given type may (or may not) have a tendency to "arrive back-to-back", is a concept that we believe is often neglected in literature, but as it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class in our system, the major aim of this paper is to estimate the impact of the degree of class clustering in our system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • the impact of a global fcfs Service Discipline in a two class queue with dedicated servers
    Computers & Operations Research, 2016
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server. We assume that customers all queue together and are served in the order of arrival, regardless of the class they belong to. This global FCFS Service Discipline creates a blocking effect: if a customer of one type is in the front of the queue, the customers of the other type will not be able to pass it and start their Service, even if their server is idle. We want to analyse this blocking effect in the current paper. To this end, two systems, one with and one without blocking effect, are analyzed and compared in terms of total and per-type system occupancy and customer delay. The motivation of our work is real systems where this kind of blocking is encountered, such as road junctions and security checkpoints. HighlightsWe studied a two-class, continuous-time queue with class-dedicated servers.Comparison between a system with a global and per-class FCFS Service Discipline.Distributions of the total and per-type system occupancies and customer delays.Uncovered the negative impact of a global FCFS Service Discipline.Well balanced system performs best when handling a high load.

  • the impact of class clustering on a system with a global fcfs Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

  • ASMTA - The Impact of Class Clustering on a System with a Global FCFS Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

Bart Steyaert - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of a queueing model with two dedicated servers and a global FCFS Service Discipline
    2020
    Co-Authors: Herwig Bruneel, Willem Melange, Bart Steyaert, Joris Walraevens
    Abstract:

    We consider a simple queueing model with two types of customers each having their own dedicated server. The system uses a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue. As a consequence, customers of one type may be blocked by customers of the other type, in that they may be unable to reach their dedicated server even at times when this server is idle. One major aim of the work is to estimate the negative impact of this phenomenon on the performance of the system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • A two-class queueing model with class clustering and global FCFS Service Discipline
    2020
    Co-Authors: Willem Melange, Herwig Bruneel, Bart Steyaert, Joris Walraevens
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a "global FCFS" Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. "Class clustering" ,i.e., customers of any given type may (or may not) have a tendency to "arrive back-to-back", is a concept that we believe is often neglected in literature, but as it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class in our system, the major aim of this paper is to estimate the impact of the degree of class clustering in our system. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches or road splits.

  • the impact of a global fcfs Service Discipline in a two class queue with dedicated servers
    Computers & Operations Research, 2016
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server. We assume that customers all queue together and are served in the order of arrival, regardless of the class they belong to. This global FCFS Service Discipline creates a blocking effect: if a customer of one type is in the front of the queue, the customers of the other type will not be able to pass it and start their Service, even if their server is idle. We want to analyse this blocking effect in the current paper. To this end, two systems, one with and one without blocking effect, are analyzed and compared in terms of total and per-type system occupancy and customer delay. The motivation of our work is real systems where this kind of blocking is encountered, such as road junctions and security checkpoints. HighlightsWe studied a two-class, continuous-time queue with class-dedicated servers.Comparison between a system with a global and per-class FCFS Service Discipline.Distributions of the total and per-type system occupancies and customer delays.Uncovered the negative impact of a global FCFS Service Discipline.Well balanced system performs best when handling a high load.

  • the impact of class clustering on a system with a global fcfs Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.

  • ASMTA - The Impact of Class Clustering on a System with a Global FCFS Service Discipline
    Analytical and Stochastic Modeling Techniques and Applications, 2014
    Co-Authors: Willem Melange, Bart Steyaert, Dieter Claeys, Joris Walraevens, Herwig Bruneel
    Abstract:

    This paper considers a continuous-time queueing model with two types (classes) of customers each having their own dedicated server with exponential Service times. The system adopts a “global FCFS” Service Discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. “Class clustering”, i.e., the fact that customers of any given type may (or may not) have a tendency to “arrive back-to-back”, is a concept that we believe is often neglected in literature. As it is clear that customers of different types hinder each other more as they tend to arrive in the system more clustered according to class, the major aim of this paper is to estimate the impact of the degree of class clustering on the system performance. In this paper both classes of customers have an own “cluster parameter”. The motivation of our work are systems where this kind of blocking is encountered, such as input-queueing network switches, security checkpoints or road splits.