Using Simulation to Study the Last to Enter Service Delay Announcement in Multiserver Queues with Abandonment

Author(s):  
Aditya Shah ◽  
Anders Wikum ◽  
Jamol Pender
2021 ◽  
Author(s):  
Jing Dong ◽  
Rouba Ibrahim

The shortest-remaining-processing-time (SRPT) scheduling policy has been extensively studied, for more than 50 years, in single-server queues with infinitely patient jobs. Yet, much less is known about its performance in multiserver queues. In this paper, we present the first theoretical analysis of SRPT in multiserver queues with abandonment. In particular, we consider the [Formula: see text] queue and demonstrate that, in the many-sever overloaded regime, performance in the SRPT queue is equivalent, asymptotically in steady state, to a preemptive two-class priority queue where customers with short service times (below a threshold) are served without wait, and customers with long service times (above a threshold) eventually abandon without service. We prove that the SRPT discipline maximizes, asymptotically, the system throughput, among all scheduling disciplines. We also compare the performance of the SRPT policy to blind policies and study the effects of the patience-time and service-time distributions. This paper was accepted by Baris Ata, stochastic models & simulation.


2012 ◽  
Vol 198-199 ◽  
pp. 1733-1738
Author(s):  
Xiao Wei Qin ◽  
Feng Chen

With the explosive growth of wireless applications, the subscribers’ requirements of QoS (Quality of Service) are increasing as well. In this paper, the upper bound of the tolerant delay of services in wireless access network is investigated, by mapping core network onto a cost-variable directed graph, where the cost is construed as the average service delay of the flows traveling in core network that depends on the current load. A multicommodity minimal cost flow mathematics problem is then derived and solved by Price-directive Decomposition and Lagrangian Relaxation. Simulations are carried out in two typical core networks and some valuable conclusions are gained.


Author(s):  
Sajal Saha ◽  
Asish K. Mukhopadhyay ◽  
Anup Kumar Bhattacharjee

Selection of a MIMO (Multiple Input Multiple Output) antenna to achieve high throughput, minimize errors, and optimize data speed is an important design issue. Radio resource management to provide Quality of Service (QoS) in WiMAX involves dynamic scheduling of resources according to the user’s priority, based classes Platinum, Gold, Silver, and Bronze. Mobility and handoff management in WiMAX is another important issue involving location update, signaling traffic and service delay, and call blocking and dropping. This chapter focuses on some issues concerning MIMO configuration to improve transmit diversity, developing an appropriate scheduling algorithm to improve QoS, and presenting a novel mobility management protocol THMIP (Three Level Hierarchical Mobile IP) in IEEE 802.16e environment to reduce signaling cost with respect to QoS parameters like throughput, end-to-end delay, interference, path loss, bit error rate, and Signal-to-Noise Ratio (SNR). For the simulation, the authors use OPNET Modeler and MATLAB.


2020 ◽  
pp. 1-12
Author(s):  
Xuewei Zhang ◽  
Tiejun Lv ◽  
Yuan Ren ◽  
Wei Ni ◽  
Norman C. Beaulieu

1990 ◽  
Vol 27 (02) ◽  
pp. 465-468 ◽  
Author(s):  
Arie Harel

We show that the waiting time in queue and the sojourn time of every customer in the G/G/1 and G/D/c queue are jointly convex in mean interarrival time and mean service time, and also jointly convex in mean interarrival time and service rate. Counterexamples show that this need not be the case, for the GI/GI/c queue or for the D/GI/c queue, for c ≧ 2. Also, we show that the average number of customers in the M/D/c queue is jointly convex in arrival and service rates. These results are surprising in light of the negative result for the GI/GI/2 queue (Weber (1983)).


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