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VMLFQ scheduler intelligently handles the impreciseness and defines the optimum number of queues as well as the optimal size of time quantum for each queue.
In this paper, a closed queuing network model with single servers for each queue is proposed to model dataflow in a multi-threaded architecture.
These threads are passed work by a core management thread for each queue that has the role of removing the first entry from the queue and setting up work for the worker threads.
This will yield an appropriate weight for each queue.
It starts by computing the WRR weight for each queue based on priority and the number of all nonempty queues.
Initially, one VM for each queue type is created on the first fit host starting with Q1 and then Q2.
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In QFlow, it is possible to specify a guaranteed minimum and an allowed maximum value for the bandwidth of each queue, and then forward the desired traffic through a given queue.
Figure 1 shows a model where nodes maintain separate queues for each AC and packets at the head-of-line (HOL) of each queue contend for channel access using AC-specific parameters [4] which are more favorable to HP traffic than the LP traffic.
While for the proposed algorithm, we calculate the priority for each user queue by the remaining life time or queue overflow probability, which is applied to allocate RBs.
The approach presented by Wu et al. is to carry out per-flow scheduling at the AP in the way that it distinguishes data queue type from ACK queue type and computes to use optimal scheduling probability for each flow queue [8].
In addition, we maintain a heap with one entry for each back queue, the entry being the earliest time at which the host corresponding to that queue can be contacted again.
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Justyna Jupowicz-Kozak
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