Bidirectional selection computing unloading method based on MEC and MCC

Abstract

The invention discloses a bidirectional selection computing unloading method based on MEC and MCC. The method comprises steps of: sending to a network side a request to unload an operation program when it is detected that the computing amount of the operation program exceeds a threshold; receiving a unloading sequence allocated by the network side according to the request; computing local energy consumption and unloading energy consumption based on the received unloading sequence, and further computing each unloading energy consumption benefit and sending the same to the network side; and computing a local operation delay and further computing a difference between each unloading delay and local computing delay and sending the same to the network side; receiving a unloding decision matrix obtained by the network side based on the energy consumption benefit and the delay benefit, and returning a decision message; and performing unloading according to the unloading decision message. Therefore, the bidirectional selection computing unloading method based on MEC and MCC can realize the multi-criterion, multi-objective and bidirectional selection computing amount unloading of terminal linear weighting and network side analytical hierarchy process.

Description

technical field [0001] The invention relates to the technical field of mobile computing, in particular to a two-way selective computing offloading method based on MEC and MCC. Background technique [0002] In recent years, with the increasing user data, the large-scale access of IoT devices and the diversification of services, the data traffic in the current wireless network has increased rapidly and the data scale has expanded dramatically. At the same time, the functions of mobile terminals are gradually enhanced, and their functions are not limited to the communication field, but have become a powerful carrier for people's mobile entertainment, office, reading, and computing. Therefore, various high-complexity programs that rely on terminals provided by third parties have begun to be widely used in mobile computing. However, the computing power of the terminal is limited by the size, and the current battery technology has not yet made a breakthrough, which has brought en...

AI Technical Summary

Problems solved by technology

These implementations often start from the network side. For users, the delay and energy consumption information they provide is processed linearly, without taking into account user preferences.

In addition, the existing research schemes only consider the limited resources of the server, and do not consider the load of the server and user fairness, which results in limited benefits of the current offloading scheme, and at the same time, the user's service experience has not been improved.

[0006] Since the MEC technology has not been proposed for a long time, and the MEC-related infrastructure has not been fully deployed, the MCC and MEC offloading solutions are usually isolated, which causes a great waste of resources, and the advantages of computing load offloading are not fully reflected.

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