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MCT scheduling method based on edge platform layer adjustment coefficient
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A technology for adjusting coefficients and scheduling methods, which is applied in transmission systems, energy-saving calculations, data processing applications, etc., and can solve problems such as seldom considering the impact of industry background scheduling mechanisms, and insufficient application
Pending Publication Date: 2020-12-15
HANGZHOU DIANZI UNIV
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VALERIO V D considers communication, computing resource overload and virtual machine migration energy consumption, and proposes a resource allocation scheme for computing offloading, but the application in specific industry backgrounds is not deep enough
[0004] To sum up, the research contents of the researchers have their own emphases, and the research results all have application value, but there are also certain limitations, such as the research content pays too much attention to communication and computing capabilities, and rarely considers the industry background , the impact of practical application and task characteristics on the scheduling mechanism, etc.
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Embodiment 1
[0131] This embodiment provides an MCT scheduling method based on the adjustment coefficient of the edge platform layer, such as figure 1 shown, including:
[0132] S11. Establish an adjustment coefficient model for MCT scheduling according to the emergency importance and complexity of the MCT;
[0133] S12. According to the time and energy consumed in MCT uploading and processing, determine the total consumption of MCT;
[0134] S13. Based on establishing the adjustment coefficient model of MCT scheduling and determining the total consumption of MCT, an MCT scheduling mechanism based on dynamic programming theory, MAX rule and MIN rule is established.
[0135] MCT: Manufacturing Computing Task (MCT for short).
[0136] In step S11, an adjustment coefficient model for MCT scheduling is established according to the urgency and complexity of the MCT.
[0137] In this embodiment, the adjustment coefficient is determined based on the improved entropy weight method, specifically...
Embodiment 2
[0284] The difference between the MCT scheduling method based on the adjustment coefficient of the edge platform layer provided by this implementation and the first embodiment is that:
[0285] In this embodiment, a test is carried out in a simulation test environment to verify the solution of the present application.
[0286] In the simulation test environment, the relevant parameters are set as follows:
[0287] (1) Edge server settings: the number of edge servers is 8, one edge server only contains 1 processor, the computing power range is [100,500], the communication bandwidth is [100,300], and the product of the clock frequency and cycle period of the CPU is 1.
[0288] (2) MCT setting: For the MCT processed at the edge platform layer, the MCT data volume is represented by the task length, and the interval is distributed in [10000, 30000].
[0289] (3) Others: the signal-to-noise ratio S / N is [10, 60], the transmit power e of the mobile terminal per unit time i is [0,1...
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Abstract
The invention discloses an MCT scheduling method based on an edge platform layer adjustment coefficient, wherein the method comprises the steps: S11, building an adjustment coefficient model of MCT scheduling according to the emergency importance and complexity of MCT; S12, determining the total consumption of the MCT according to the time and energy consumed in the uploading and processing process of the MCT; and S13, establishing an MCT scheduling mechanism based on a dynamic programming theory, an MAX rule and an MIN rule on the basis of establishing an MCT scheduling adjustment coefficientmodel and determining the total consumption of the MCT, and respectively realizing scheduling targets of lowest communication cost, balanced system load and maximized edge platform computing resourceutilization rate. An adjustment coefficient is constructed for the MCT of an edge platform processing end, so that it is ensured that emergency and important manufacturing calculation tasks obtain sufficient calculation resources, and multiple scheduling mechanisms are established based on the adjustment coefficient to achieve different scheduling targets.
Description
technical field [0001] The invention relates to the technical field of task scheduling mechanisms, in particular to an MCT scheduling method based on edge platform layer adjustment coefficients. Background technique [0002] The continuous development of Internet of Things, smart manufacturing, artificial intelligence, industry 4.0, image recognition and other technologies has led to a surge in the number of terminal smart devices (mobile phones, tablets, wearable devices, sensors, cameras, etc.), so that the amount of data generated in real time is geometrically number growth. At the same time, end users have higher requirements for real-time performance, bandwidth, energy consumption, data security and privacy. Edge computing, developed from cloud computing, provides three layers of computing task processing ends: cloud layer, edge platform layer, and terminal layer. Compared with the traditional method of uploading all data to the cloud center for processing, it can effe...
Claims
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