Sensitivity of output performance measures to input distributions in queueing simulation modeling
Proceedings of the 29th conference on Winter simulation
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
On the relevance of long-range dependence in network traffic
IEEE/ACM Transactions on Networking (TON)
Robust design of server capability in M/M/1 queues with both partly random arrival and service rates
Computers and Operations Research
Telecommunication traffic, queueing models, and subexponential distributions
Queueing Systems: Theory and Applications
Network Traffic Characterization for High-Speed Networks Supporting Multimedia
SS '01 Proceedings of the 34th Annual Simulation Symposium (SS01)
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Consider various host systems that consist of both hardware and software. There is an IT center which governs the maintenance activities of all of those host systems. The center's major concern is deciding the proper level of repair capacity for various kinds of failures due to hardware, software, and operator related problems where corresponding failure and repair times may exhibit fairly large variations. In this paper, we use Monte Carlo simulation in order to decide the optimal repair capacity when both failures and repair times of individual host systems exhibit long-range dependent (LRD) property. In terms of utilization rate, average and maximum waiting times, we suggest the optimal capacity of maintenance. Various sensitivity analyses follow.