GPSS World

Our premier simulation product, GPSS World, is based on the seminal language of computer simulation, GPSS, which stands for General Purpose Simulation System. This language was developed primarily by Geoffrey Gordon at IBM around 1960, and has contributed important concepts to every commercial discrete event Computer Simulation Language developed ever since. GPSS World is a direct descendent of GPSS/PC, an early implementation of GPSS for personal computers. Since it’s introduction in 1984, GPSS/PC and its successors have saved thousands of users millions of dollars. GPSS World is the worthy descendent of these early simulation environments. GPSS World is designed to deliver answers quickly and reliably, with the least effort, achieving the highest reliability of results. Consistent with these objectives, visualization of running simulations is highly stylized and a default statistical treatment is built in. This approach means that animations are ”free” requiring no additional effort to produce, but are not photo-realistic. GPSS World’s forte is transparency, not photo-realism. Third party animation systems are available which can provide pictorial animations based on GPSS World simulations. GPSS World was designed primarily to deliver quality answers while maintaining a high level of transparency and controllability. Further, GPSS World facilitates the statistical analysis required of any serious simulation project. In summary, it is a self contained environment with everything from built-in probability distributions to automatic experiment generation, for screening as well as for optimization.

References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Tarasov, Veniamin Nikolaevich; Akhmetshina, Éleonora Gazinurovna: The average waiting time in a (H_2/H_2/1) queueing system with delay (2018)
  2. Tarasov, V. N.: Extension of the class of queueing systems with delay (2018)
  3. Zhernovyi, Yu. V.: Recurrence relations for two-channel queuing systems with Erlangian service time (2018)
  4. Zhernovyi, Yu. V.; Zhernovyi, K. Yu.: Recurrence relations for multichannel queueing systems with second-order Erlangian service times (2018)
  5. Zhernovyi, K. Yu.: Determining stationary characteristics of two-channel queueing systems with Erlangian distribution of service time (2017)
  6. Zhernovyi, Yu. V.: Determining steady-state characteristics of some queuing systems with Erlangian distributions (2017)
  7. Zhernovyi, Yu. V.; Zhernovyi, K. Yu.: Determination of steady-state characteristics of three-channel queuing systems with Erlangian service times (2017)
  8. Kopytko, Bohdan; Zhernovyi, Kostyantyn: Steady-state characteristics of three-channel queueing systems with Erlangian service times (2016)
  9. Zhernovyi, Yuriy; Kopytko, Bohdan: The potentials method for the (M/G/1/m) queue with customer dropping and hysteretic strategy of the service time change (2016)
  10. Zhernovyi, Yu. V.: Potentials method for (M/G/1/m) systems with hysteretic operating strategies (2016)
  11. Zhernovyi, Yu. V.; Zhernovyi, K. Yu.: Potentials method for (M/G/1/m) systems with threshold operating strategies (2016)
  12. Bychkov, I. V.; Oparin, G. A.; Feoktistov, A. G.; Bogdanova, V. G.; Pashinin, A. A.: Service-oriented multiagent control of distributed computations (2015)
  13. Bogdanova, V. G.; Bychkov, I. V.; Korsukov, A. S.; Oparin, G. A.; Feoktistov, A. G.: Multiagent approach to controlling distributed computing in a cluster grid system (2014)
  14. Krasilov, A. N.; Lyakhov, A. I.; Moroz, Yu. I.: Analytical model of interaction between contention-based and deterministic channel access mechanisms in Wi-Fi mesh networks (2013) ioport
  15. Zhernovyĭ, K. Yu.: An investigation of an (\mathrmM^\theta/\mathrmG/1/m) queueing system with service mode switching (2013)
  16. Zhernovyĭ, K. Yu.: Busy period and stationary distribution for the queueing system (\mathrmM^\theta/\mathrmG/1/\infty) with a threshold switching between service modes (2013)
  17. Lukin, D. V.; Lyakhov, A. I.: Analytical model of data transmission in the IEEE 802.16 network (2009)
  18. Lyakhov, A.; Pustogarov, I.; Gudilov, A.: Direct links in IEEE 802.11: analytical study of unfairness problem (2008)
  19. Manzo, R.; Cascone, N.; Razumchik, R. V.: Exponential queuing system with negative customers and bunker for ousted customers (2008)
  20. Baranov, A. V.; Lyakhov, A. I.: Estimating performance of arbitrarily loaded wireless local-area networks with IEEE 802.11 protocol (2005)