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Calculation offloading and resource allocation method in heterogeneous MEC computing platform based on simulated annealing

A computing platform and simulated annealing technology, applied in the field of mobile edge, to achieve the effect of reducing total energy consumption

Active Publication Date: 2022-05-10
SOUTHEAST UNIV
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  • Claims
  • Application Information

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Problems solved by technology

How to jointly consider the problem of computing offload and computing resource allocation in the terrestrial MEC network and UAV-MEC network to minimize the energy consumption of users in the network is rarely considered.

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  • Calculation offloading and resource allocation method in heterogeneous MEC computing platform based on simulated annealing
  • Calculation offloading and resource allocation method in heterogeneous MEC computing platform based on simulated annealing
  • Calculation offloading and resource allocation method in heterogeneous MEC computing platform based on simulated annealing

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Embodiment Construction

[0026] System model such as figure 1 shown. Consider expressing the set of UEs in this network as n means Among the elements, the UAV set is expressed as j means The middle element, the set of micro base stations is k means middle element. By deploying MEC servers on UAV and MBS, the two MEC platforms have the ability to offload UE tasks. Consider denoting the union of two offloadable platforms as m means In the element, if m≤J, it means the MEC server deployed on UAVm in the UAV set, if m>J, it means the MBS set The MEC server deployed next to the MBSk in the Furthermore we define the set of augmented offloaded platforms m=0 indicates that the UE performs local calculation on the task. Consider UEi has a computationally intensive task to be performed in the network, denoted as

[0027]

[0028] where F i Indicates the computing resources required to complete the task, the unit is the number of computing cycles, D i Indicates the amount of uplink da...

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Abstract

The present invention discloses a calculation unloading and resource allocation method in a heterogeneous MEC computing platform based on simulated annealing. Based on the space-earth joint MEC network, the three aspects of local unloading, MBS-MEC server unloading and UAV-MEC server unloading are considered in the network. An offloading method, the user-side energy consumption minimization problem model is constructed, and the constraints of the maximum number of services and the maximum computing resources of heterogeneous servers are considered in the problem, and the computing power constraints of UAVs are considered. Through computer simulation, it is found that the Compared with the traditional algorithm, the unloading algorithm of simulated annealing effectively reduces the total energy consumption of users in the network.

Description

technical field [0001] The present invention relates to the technical field of mobile edge, in particular to a calculation unloading and resource allocation method in a heterogeneous MEC computing platform based on simulated annealing. Background technique [0002] Mobile edge computing (Mobile Edge Computing, MEC), as an extension of cloud computing, its function of providing IT cloud services for user equipment (User Equipment, UE) at the edge of the network has attracted more and more attention from academia and industry. At present, MEC research mainly deploys MEC servers on the ground network. Compared with the ground MEC network, the combination of unmanned aerial vehicle (UAV) and MEC in the sky has significant advantages. First of all, UAV has strong mobility, so it can be deployed flexibly, and can be deployed in sudden hotspot areas or places where traditional MEC networks are difficult to cover; secondly, UAV and ground mobile devices use line-of-sight communicati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06N20/00
CPCG06F9/5022G06F9/5072G06N20/00Y02D10/00
Inventor 刘楠张绪琰潘志文尤肖虎
Owner SOUTHEAST UNIV