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Real Time Systems with Nonpreemptive Priorities and Ample Maintenance Facilities
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作者 Joseph Kreimer Edward Ianovsky 《Journal of Computer and Communications》 2015年第7期32-45,共14页
We consider a real time data acquisition and processing multiserver system with identical servers (such as unmanned aerial vehicles, machine controllers, overhearing devices, medical monitoring devices, etc.) which ca... We consider a real time data acquisition and processing multiserver system with identical servers (such as unmanned aerial vehicles, machine controllers, overhearing devices, medical monitoring devices, etc.) which can be maintained/programmed for different kinds of activities (e.g. passive or active). This system provides a service for real time tasks arriving via several channels (such as surveillance regions, assembly lines, communication channels, etc.) and involves maintenance. We focus on the worst case analysis of the system with ample maintenance facilities exponentially distributed time to failure and maintenance times. We consider two kinds of models (with and without nonpreemptive priorities) and provide balance equations for steady state probabilities and various performance measures, when both operation and maintenance times are exponentially distributed. 展开更多
关键词 Performance PRIORITY QUEUEING REAL TIME System Unmanned AERIAL VEHICLES
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Multiserver Multichannel Real-Time System with Limited Maintenance Facilities under Maximum Load
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作者 Edward Ianovsky Joseph Kreimer 《Open Journal of Applied Sciences》 2015年第7期368-375,共8页
We consider a multi server and multichannel real-time system with identical servers (e.g. unmanned aerial vehicles, machine controllers, etc.) that provide services for requests of real-time jobs arriving via several ... We consider a multi server and multichannel real-time system with identical servers (e.g. unmanned aerial vehicles, machine controllers, etc.) that provide services for requests of real-time jobs arriving via several different channels (e.g. surveillance regions, assembly lines, etc.) working under maximum load regime. Each channel has its own constant numbers of jobs inside at any instant. Each channel has its own specifications, and therefore different kinds of equipment and inventory are needed to serve different channels. There is a limited number of identical maintenance teams (less than the total number of servers in the system). We compute analytically steady- state probabilities of this system, its availability, loss penalty function and other performance characteristics, when both service and maintenance times are exponentially distributed. 展开更多
关键词 AVAILABILITY PERFORMANCE REAL-TIME System STEADY-STATE
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