The JSIM web-based simulation environment

Miller, John A.; Seila, Andrew F.; Xiang, Xuewei

doi:10.1016/s0167-739x(99)00108-9

Cited by 41 publications

(18 citation statements)

References 14 publications

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“…In our project, these capabilities involve a loosely-coupled integration between the METEOR WfMS and the JSIM simulation system (Nair, Miller et al 1996;Miller, Nair et al 1997;Miller, Seila et al 2000). Workflow is concerned with scheduling and transformations that take place in tasks, while simulation is mainly concerned with system performance.…”

Section: Simulation Modelingmentioning

confidence: 99%

Quality of Service for Workflows and Web Service Processes

et al. 2004

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Workflow management systems (WfMSs) have been used to support various types of business processes for more than a decade now. In workflows for e-commerce and Web-services applications, suppliers and customers define a binding agreement or contract between the two parties, specifying Quality of Service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of services. The management of QoS metrics directly impacts the success of organizations participating in e-commerce. Therefore, when services or products are created or managed using workflows, the underlying workflow system must accept the specifications and be able to estimate, monitor, and control the QoS rendered to customers. In this paper, we present a predictive QoS model that makes it possible to compute the quality of service for workflows automatically based on atomic task QoS attributes. To this end, we present a model that specifies QoS and describe an algorithm and a simulation system in order to compute, analyze and monitor workflow QoS metrics.

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Section: Simulation Modelingmentioning

confidence: 99%

Quality of Service for Workflows and Web Service Processes

et al. 2004

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“…The enabling technologies (Byrne, 2010) (Fortmann-Roe, 2014), which supports system dynamics and agent based simulation, and JSIM (Miller, 2000), which is based on component technology has been proposed by researchers.…”

Section: Web Based Simulationmentioning

confidence: 99%

A Simulation-as-a-Service Framework Facilitating Webgis Based Installation Planning

Zheng

Chang

Fei

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Installation Planning is constrained by both natural and social conditions, especially for spatially sparse but functionally connected facilities. Simulation is important for proper deploy in space and configuration in function of facilities to make them a cohesive and supportive system to meet users' operation needs. Based on requirement analysis, we propose a framework to combine GIS and Agent simulation to overcome the shortness in temporal analysis and task simulation of traditional GIS. In this framework, Agent based simulation runs as a service on the server, exposes basic simulation functions, such as scenario configuration, simulation control, and simulation data retrieval to installation planners. At the same time, the simulation service is able to utilize various kinds of geoprocessing services in Agents' process logic to make sophisticated spatial inferences and analysis. This simulation-as-a-service framework has many potential benefits, such as easy-to-use, on-demand, shared understanding, and boosted performances. At the end, we present a preliminary implement of this concept using ArcGIS javascript api 4.0 and ArcGIS for server, showing how trip planning and driving can be carried out by agents.

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“…Users employ client computers to access or interact with the M&S application running on server computer(s) (Fishwick, 1997;Miller et al, 2000Miller et al, , 2001Sabah and Balci, 2005;Balci and Page, 2009;Myers and Balci, 2009).…”

Section: Areas (Types) Of Mandsmentioning

confidence: 99%

Achieving reusability and composability with a simulation conceptual model

Balcı

Arthur

Ormsby

2011

Journal of Simulation

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Reusability and composability (R&C) are two important quality characteristics that have been very difficult to achieve in the Modelling and Simulation (M&S) discipline. Reuse provides many technical and economical benefits. Composability has been increasingly crucial for M&S of a system of systems, in which disparate systems are composed with each other. The purpose of this paper is to describe how R&C can be achieved by using a simulation conceptual model (CM) in a community of interest (COI). We address R&C in a multifaceted manner covering many M&S areas (types). M&S is commonly employed where R&C are very much needed by many COIs. We present how a CM developed for a COI can assist in R&C for the design of any type of large-scale complex M&S application in that COI. A CM becomes an asset for a COI and offers significant economic benefits through its broader applicability and more effective utilization.

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The JSIM web-based simulation environment

Cited by 41 publications

References 14 publications

Quality of Service for Workflows and Web Service Processes

Quality of Service for Workflows and Web Service Processes

A Simulation-as-a-Service Framework Facilitating Webgis Based Installation Planning

Achieving reusability and composability with a simulation conceptual model

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