NDLI: MICSIM—the simulation model of FDNY's computer-aided dispatch system

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MICSIM—the simulation model of FDNY's computer-aided dispatch system

Content Provider	ACM Digital Library
Author	Geller, Michael
Abstract	Firefighting units in the borough of Brooklyn are currently dispatched with the aid of FDNY's new computer dispatch system, MICS. The system is designed around dual PDP 11/45s which are supported in a “fallback” (or back-up) mode by dual INTEL 8080 micro-processors. The computer processes alarms, recommends the assignment of available units, notifies assigned units by voice and hard copy terminals located in fire stations, monitors status changes of firefighting units and incidents, and dynamically adjusts the borough's firefighting coverage by recommending schemes for the relocation of units in order to minimize future (anticipated) response times. The system has been so successful in Brooklyn that it is being expanded to cover all five boroughs through a shared centralized PDP 11/70 computer system. The city-wide system will be called CMICS. Simulation techniques were employed during all phases of MICS system development to insure that the necessary system criteria would be met under the ever-increasing alarm rates experienced in New York. This paper describes the primary simulation tool, the GPSS simulation model, MICSIM, which was used to study the complex relationships between real-time system software, communication software, device handlers, and the application programs (components typically found in all multi-programming real-time systems). The end product of MICSIM is an explanation and quantification of the response times achieved by the system when responding to dispatchers' CRT requests. Even with the sophisticated performance monitors that were used to measure CPU utilization and perform I/O and CPU accounting on a task-by-task basis, it was not possible to determine the real limiting factors in the system when the rates of CRT operator actions and input messages from the field increased. The increased overhead required to extract this data internally from the operational system would cause substantial interference there-by invalidating the data. Only with the aid of MICSIM was it possible to “profile” a task and determine the nature of the events that take place within MICS as it responded to external actions. The basic understanding provided by the model made it possible to take the necessary steps to achieve the desired performance standards.
Starting Page	473
Ending Page	482
Page Count	10
File Format	PDF
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1978-12-01
Access Restriction	Subscribed
Subject Keyword	Communication systems Systems design Gpss Throughput Response time Input/output Utlization Hardware Queues Real-time systems Software Monte carlo simulation Multiprogramming Performance measurement Bottlenecks Discrete simulation Fine tuning
Content Type	Text
Resource Type	Article

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