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Task unloading method in mobile edge computing based on service mashup

An edge computing and task technology, applied in wireless communication, electrical components, etc., can solve the problems of redundant backhaul link transmission time, difficult to meet user QoS experience, etc., to reduce workload and improve stability.

Active Publication Date: 2020-08-11
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

In the face of massive tasks, although cloud computing on the core network side has huge computing and storage resources, when faced with user delay-sensitive tasks, its lengthy backhaul link transmission time is difficult to meet the user's QoS experience

Method used

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  • Task unloading method in mobile edge computing based on service mashup
  • Task unloading method in mobile edge computing based on service mashup
  • Task unloading method in mobile edge computing based on service mashup

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Embodiment Construction

[0028] In view of the homogenization of mobile edge servers in the existing MEC offloading research problem, the present invention proposes a MEC network in a heterogeneous server scenario, and considers the problem of user task offloading in mobile edge computing in a service mashup scenario. That is, we consider that different MEC servers that are close to actual scenarios have different deployment application types due to differences in device manufacturers and service operators. In addition, in the face of the same user task request, the computing resources that different MEC servers can provide are also due to MEC Varies between server platforms and architectures. To solve the problem of user offloading in the above-mentioned MEC scenario, the present invention is based on a distributed algorithm to match the preferences set by the user and the server respectively, and finally realize the performance improvement of the user-side offloading problem.

[0029] The present in...

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Abstract

The invention discloses a task unloading method in mobile edge computing based on service mashup. According to the MEC network based on equipment, two unloading modes of local unloading and MEC serverunloading are considered in a network, and a user side workload target function is constructed; the weight sum of the real-time delay and the energy consumption is calculated, the constraints of themaximum service number and the maximum computing resource of the server side are considered at the same time in the problem, the workload of the user side is reduced through the distributed delay acceptance algorithm, and the stability of the system is also improved through the distributed algorithm.

Description

technical field [0001] The invention relates to the field of mobile edge technology, in particular to a task offloading method in mobile edge computing based on service mashups. Background technique [0002] With the massive growth of user equipments, user equipments (User Equipments, UEs) are experiencing serious network congestion. In the face of massive tasks, although cloud computing on the core network side has huge computing and storage resources, its long backhaul link transmission time is difficult to meet the user's QoS experience when facing users' delay-sensitive tasks. As a new computing paradigm, Mobile Edge Computing (MEC) is an extension of cloud computing, and its ability to provide users with IT cloud services at the edge of the network has attracted more and more attention from academia and industry. As an emerging concept, MEC is one of the important research areas of user task offloading, that is, whether the user offloads the task, and another issue is ...

Claims

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Application Information

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IPC IPC(8): H04W24/02
CPCH04W24/02
Inventor 刘楠张绪琰潘志文尤肖虎
Owner SOUTHEAST UNIV
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