Distributed dynamic service deployment method based on mobile edge computing
An edge computing and dynamic service technology, applied in computer components, constraint-based CAD, computing, etc., can solve problems such as the inability to meet the requirements of users and operators' system utility, and achieve efficient algorithm convergence time and system utility. The effect of sexual and efficient unloading
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[0044] In order to make the purpose, technical solutions and advantages of the present invention clearer, the specific implementation of the present invention will be further described in detail below.
[0045] The example of the present invention provides a distributed dynamic service deployment method based on mobile edge computing, the method includes:
[0046] Step 1: Build a random mobility model to determine the utility of users and operators.
[0047] Step 2: Transform the long-term optimization problem in step 1) into an online optimization problem by using the Lyapunov optimization method.
[0048] The dynamic service queue of server k can be expressed as follows:
[0049] Q k (t+1)=max{Q k (t)+ΔD k (t)-D k ,0},
[0050] where the queue length Q k (t) represents the overloaded data volume of server k in time slot t. Variable ΔD k (t) represents the throughput of server k in time slot t. Step 1) The constraint C1 in the optimization problem can be obtained by...
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