Multiserver Multichannel Real-Time System with Limited Maintenance Facilities under Maximum Load

Abstract

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 steadystate probabilities of this system, its availability, loss penalty function and other performance characteristics, when both service and maintenance times are exponentially distributed.

Performance Evaluation of Multiple Unmanned Aerial Vehicles Operating in General Regime with Shortage of Maintenance Facilities

“…In [16] and [17], several UAV models have been first described and treated as Real-Time Systems (RTS) with a zero dead line for the beginning of job processing. Further, in [12] [18] [19] and [20], these models working under a maximum load (worst case) of nonstop data arrival have been treated as queuing networks [21]. RTS with priorities were studied in [22] [23] (preemptive) and [24] (nonpreemptive) respectively.…”