1,062 research outputs found

    Effect of global FCFS and relative load distribution in two-class queues with dedicated servers

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    In this paper, we investigate multi-class multi-server queueing systems with global FCFS policy, i.e., where customers requiring different types of service— provided by distinct servers— are accommodated in one common FCFS queue. In such scenarios, customers of one class (i.e., requiring a given type of service) may be hindered by customers of other classes. The purpose of this paper is twofold: to gain (qualitative and quantitative) insight into the impact of (i) the global FCFS policy and (ii) the relative distribution of the load amongst the customer classes, on the system performance. We therefore develop and analyze an appropriate discrete-time queueing model with general independent arrivals, two (independent) customer classes and two class-specific servers.We study the stability of the system and derive the system-content distribution at random slot boundaries; we also obtain mean values of the system content and the customer delay, both globally and for each class individually. We then extensively compare these results with those obtained for an analogous system without global FCFS policy (i.e., with individual queues for the two servers). We demonstrate that global FCFS, as well as the relative distribution of the load over the two customer classes, may have a major impact on the system performance

    Translanguaging : a matter of sociolinguistics, pedagogics and interaction?

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    This chapter forms part of an analytical-interpretative exercise in coming to terms with one of the key concepts in contemporary writings on globalization-affected multilingual classrooms: translanguaging (TL). What is the term’s precise scope? What are the theoretical-methodological frameworks which bear upon the formulation of a basis for its implementation? And how can an answer to these two questions be informed by an analysis of instances where TL has been accomplished successfully in classroom practice? As a specific point of departure, we suggest a triadically formulated question: is translanguaging primarily a sociolinguistic, a pedagogical and/or an interactional concept? And, if the conclusion to be drawn is that an affirmative answer is invited for each of the three dimensions, then how might one understand the various interconnections between these dimensions

    Queues with dedicated servers and global first-come-first-served scheduling

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    A continuous-time queueing model with class clustering and global FCFS service discipline

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    In this paper the focus is on "class clustering" in a continuous-time queueing model with two classes and dedicated servers. "Class clustering" means that customers of any given type may (or may not) have a tendency to "arrive back-to-back". We believe this is a concept that is often neglected in literature and we want to show that it can have a considerable impact on multiclass queueing systems, especially on the system considered in this paper. This system adopts a "global FCFS" service discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their types. The major aim of our paper is to quantify the intuitively expected (due to the service discipline) negative impact of "class clustering" on the performance measures of our system. The motivation of our work are systems where this kind of inherent blocking is encountered, such as input-queueing network switches, road splits or security checks at airports

    Analysis of a two-class single-server discrete-time FCFS queue : the effect of interclass correlation

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    In this paper, we study a discrete-time queueing system with one server and two classes of customers. Customers enter the system according to a general independent arrival process. The classes of consecutive customers, however, are correlated in a Markovian way. The system uses a global FCFS service discipline, i.e., all arriving customers are accommodated in one single FCFS queue, regardless of their classes. The service-time distribution of the customers is general but class-dependent, and therefore, the exact order in which the customers of both classes succeed each other in the arrival stream is important, which is reflected by the complexity of the system content and waiting time analysis presented in this paper. In particular, a detailed waiting time analysis of this kind of multi-class system has not yet been published, and is considered to be one of the main novelties by the authors. In addition to that, a major aim of the paper is to estimate the impact of interclass correlation in the arrival stream on the total number of customers in the system, and the customer delay. The results reveal that the system can exhibit two different classes of stochastic equilibrium: a strong equilibrium where both customer classes give rise to stable behavior individually, and a compensated equilibrium where one customer type creates overload

    On the Interface Between Operations and Human Resources Management

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    Operations management (OM) and human resources management (HRM) have historically been very separate fields. In practice, operations managers and human resource managers interact primarily on administrative issues regarding payroll and other matters. In academia, the two subjects are studied by separate communities of scholars publishing in disjoint sets of journals, drawing on mostly separate disciplinary foundations. Yet, operations and human resources are intimately related at a fundamental level. Operations are the context that often explains or moderates the effects of human resource activities such as pay, training, communications and staffing. Human responses to operations management systems often explain variations or anomalies that would otherwise be treated as randomness or error variance in traditional operations research models. In this paper, we probe the interface between operations and human resources by examining how human considerations affect classical OM results and how operational considerations affect classical HRM results. We then propose a unifying framework for identifying new research opportunities at the intersection of the two fields
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