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Task unloading and data caching method for hybrid mobile cloud/edge computing

An edge computing and data caching technology, applied in computing, energy-saving computing, electrical digital data processing, etc., can solve problems such as reducing user performance, only considering computing offloading, and ignoring cloud server computing and caching capabilities.

Pending Publication Date: 2019-07-16
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the existing computing offloading and data caching technologies can reduce network load and reduce network energy consumption, the existing research only considers computing offloading between users and APs, ignoring the powerful computing caching capabilities of cloud servers. Seriously degrades user performance

Method used

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  • Task unloading and data caching method for hybrid mobile cloud/edge computing
  • Task unloading and data caching method for hybrid mobile cloud/edge computing
  • Task unloading and data caching method for hybrid mobile cloud/edge computing

Examples

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Embodiment 1

[0067] figure 1 It is a structural block diagram of a hybrid mobile cloud / edge computing task offloading and data caching method and a schematic diagram in Embodiment 1 of the present invention. figure 2 It is a flow chart of a method for task offloading and data caching of hybrid mobile cloud / edge computing in the present invention. The specific implementation of this application in a specific application scenario is described according to the above schematic diagrams and flow charts. This embodiment describes the specific implementation of the application of the method of the present invention to telemedicine services.

[0068] Telemedicine originated in the 1970s. It refers to the long-distance exchange of medical or other health care information through electronic communication technology to improve the health of patients and provide technical support for patients outside medical institutions. It includes remote diagnosis, Remote consultation, distance education, telemed...

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Abstract

The invention discloses a task unloading and data caching method for hybrid mobile cloud / edge computing, and belongs to the technical field of decision optimization and multi-user resource allocation.The method comprises the following steps: 1) calculating channel power gain; 2) uploading the calculation data to an AP, and calculating uplink and downlink transmission rates; 3) judging which partof the user of the user terminal layer, the MEC server of the edge layer or the cloud server in the cloud layer the task processing is completed, and calculating task processing time delay and energyconsumption which are completed according to corresponding conditions after judging; 4) obtaining a minimization optimization problem of the task processing process delay; 5) copying a local variableand storing the local variable in the MEC server; 6) using an alternating direction multiplier method to obtain an augmented Lagrangian function, and 7) performing iteratively updating to obtain a final expression form of the optimized objective function, and finding out the minimization of the task processing process delay. The method satisfies the energy consumption of the user, and minimizes the total user delay while constraining the storage and calculation capability of the AP.

Description

technical field [0001] The invention relates to a task offloading and data caching method for hybrid mobile cloud / edge computing, and belongs to the technical field of decision-making optimization and multi-user resource allocation. Background technique [0002] According to a forecast report released by Cisco, global mobile data traffic in 2020 will be eight times that of 2015, and the number of connected devices will increase to 26.3 billion. With the explosive growth of the number of mobile Internet access users, the fifth generation of mobile communication (5G, the fifth generation of mobile technology) is facing many challenges from massive device connections and increasing business scenarios. The indicators also put forward stricter requirements. However, the processing capabilities of existing terminals are difficult to meet the above-mentioned mobile application service requirements, which affects user experience. [0003] Mobile cloud computing allows mobile device...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/61G06F9/50
CPCG06F8/62G06F9/5083Y02D10/00
Inventor 费泽松杨小龙史新宇
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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