The phrase "aggregate queue model" is correct and usable in written English.
It can be used in contexts related to operations research, computer science, or systems engineering, particularly when discussing models that analyze queues or waiting lines in a system.
Example: "The aggregate queue model helps us understand the overall performance of the system by analyzing the average wait times and service rates."
Alternatives: "combined queue model" or "overall queue model".
Therefore two very different approaches are used and compared: 1) An aggregate macroscopic queue model, resolving time to periods representing distinct phases of an incident, allowing flexible definition and rapid evaluation of a large number of combinations of incident scenario and management strategy, with allowance in general terms for the impact of new technology on initial response time.
Table 10 Comparing results simulated by CTM-v and queue model aggregated for all sub-cases of Scenario and Technique with one level of demand for each, comparing only congested locations upstream of the incident (the largest differences are highlighted) Open image in new window.
A new approach for analyzing the queue model is discussed.
The queue model for the HP traffic is an M/G/1 queue with vacations.
There is good agreement between the regions of densest queuing in simulation and queue model.
The cognitive radio queue model can be summarized as follows.
This paper formulates a probabilistic network model that proposes an aggregate description of the queue-length, and then approximates the joint aggregate queue-length distribution of subnetworks.
The first queue models the primary servers while the second one models the specific servers that interact with the database.
Once the PERm,s values are obtained, they are fed into the workload-dependent M/D/1 queuing model to estimate the aggregate TCP throughput for given MCS m and SNR s. Figure 8 Simulated FEC block error rates (FER), AWGN channel.
Based on the widely used equivalent thermal parameters (ETP) model for a decentralized AC load, a comfort-constrained state-queueing model is adopted to model and control the aggregated thermostatically controlled appliances in [16, 17].
