1,721,054 research outputs found
sj-docx-1-sim-10.1177_00375497221139282 – Supplemental material for Simulation modelling of hospital outpatient Department: a review of the literature and bibliometric analysis
No full textSupplemental material, sj-docx-1-sim-10.1177_00375497221139282 for Simulation modelling of hospital outpatient Department: a review of the literature and bibliometric analysis by Aby M Philip, Shanmugam Prasannavenkatesan and Navonil Mustafee in SIMULATION</p
A grid computing framework for commercial simulation packages
No full textThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An increased need for collaborative research among different organizations, together with continuing advances in communication technology and computer hardware, has facilitated the development of distributed systems that can provide users non-trivial access to geographically dispersed computing resources (processors, storage, applications, data, instruments, etc.) that are administered in multiple computer domains. The term grid computing or grids is popularly used to refer to such distributed systems. A broader definition of grid computing includes the use of computing resources within an organization for running organization-specific applications. This research is in the context of using grid computing within an enterprise to maximize the use of available hardware and software resources for processing enterprise applications. Large scale scientific simulations have traditionally been the primary benefactor of grid computing. The application of this technology to simulation in industry has, however, been negligible. This research investigates how grid technology can be effectively exploited by simulation practitioners using Windows-based commercially available simulation packages to model simulations in industry. These packages are commonly referred to as Commercial Off-The-Shelf (COTS) Simulation Packages (CSPs). The study identifies several higher level grid services that could be potentially used to support the practise of simulation in industry. It proposes a grid computing framework to investigate these services in the context of CSP-based simulations. This framework is called the CSP-Grid Computing (CSP-GC) Framework. Each identified higher level grid service in this framework is referred to as a CSP-specific service. A total of six case studies are presented to experimentally evaluate how grid computing technologies can be used together with unmodified simulation packages to support some of the CSP-specific services. The contribution of this thesis is the CSP-GC framework that identifies how simulation practise in industry may benefit from the use of grid technology. A further contribution is the recognition of specific grid computing software (grid middleware) that can possibly be used together with existing CSPs to provide grid support. With its focus on end-users and end-user tools, it is intended that this research will encourage wider adoption of grid computing in the workplace and that simulation users will derive benefit from using this technology
Investigating distributed simulation with COTS simulation packages: Experiences with Simul8 and the HLA
No full textCommercial-off-the-shelf simulation packages (CSPs) are used widely in industry. Several research groups are currently working towards the creation of distributed simulation with these CSPs. The motivations to do this are various and are largely unproven as there are very few good examples of this kind of distributed simulation in practice. Our goal is therefore to create a distributed simulation environment using CSPs that will allow end users to make their own decisions as to whether this technology will be useful. This paper presents continuing research in creating such an environment using the CSP Simul8 and the High Level Architecture, the IEEE 1516 standard for distributed simulation. The scope of this paper is limited to the CSPI-PDG Type I Interoperability Reference Model
Distributed simulation with COTS simulation packages: A case study in health care supply chain simulation
No full textThe UK National Blood Service (NBS) is a public funded body that is responsible for distributing blood and asso-ciated products. A discrete-event simulation of the NBS supply chain in the Southampton area has been built using the commercial off-the-shelf simulation package (CSP) Simul8. This models the relationship in the health care supply chain between the NBS Processing, Testing and Is-suing (PTI) facility and its associated hospitals. However, as the number of hospitals increase simulation run time be-comes inconveniently large. Using distributed simulation to try to solve this problem, researchers have used techniques informed by SISO’s CSPI PDG to create a version of Simul8 compatible with the High Level Architecture (HLA). The NBS supply chain model was subsequently divided into several sub-models, each running in its own copy of Simul8. Experimentation shows that this distri-buted version performs better than its standalone, conven-tional counterpart as the number of hospitals increases
Exploiting grid computing, desktop grids and cloud computing for e-science: Future directions
No full textPurposeThe purpose of this paper is to examine three different, but related, distributed computing technologies in the context of public‐funded e‐science research, and to present the author's viewpoint on future directions.Design/methodology/approachThe paper takes a critical look at the state‐of‐the‐art with regard to three enabling technologies for e‐science. It forms a set of arguments to support views on the evolution of these technologies in support of the e‐science applications of the future.FindingsAlthough grid computing has been embraced in public‐funded higher education institutions and research centres as an enabler for projects pertaining to e‐science, the adoption of desktop grids is low. With the advent of cloud computing and its promise of on‐demand provisioning of computing resources, it is expected that the conventional form of grid computing will gradually move towards cloud‐based computing. However, cloud computing also brings with it the “pay‐per‐use” economic model, and this may act as stimulus for organisations engaged in e‐science to harvest existing underutilised computation capacity through the deployment of organisation‐wide desktop grid infrastructures. Conventional grid computing will continue to support future e‐science applications, although its growth may remain stagnant.Originality/valueThe paper argues that there will be a gradual shift in the underlying distributed computing technologies that support e‐science applications of the future. While cloud computing and desktop grid computing will gain in prominence, the growth of traditional cluster‐based grid computing may remain dormant.</jats:sec
Distributed Simulation of Supply Chains in the Industry 4.0 Era: A State of the Art Field Overview
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