Multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition

Abstract

The invention discloses a multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition. The method comprises the following steps: firstly constructing a problem of minimizing the average energy consumption under the guarantee of time delay on the premise of meeting the stability constraint of a data queue and the stability constraint of an energy queue; in order to solve the random optimization problem, the problem is converted into two deterministic sub-problems, and a convex optimization technology and a linear programming technology are respectively adopted to solve the two deterministic sub-problems. The method does not need priori knowledge of a random process, such as channel state, data arrival and green energy collection. And energy consumption-time delay balance of [O (1 / V), O (V)] is realized. And V is used as a non-negative weight, so that the energy consumption-time delay performance can be effectively controlled.

Description

technical field [0001] The invention belongs to the field of mobile edge computing, and in particular relates to a multi-user and multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition. Background technique [0002] As a ubiquitous computing paradigm, IoT is exploding in computing-intensive mobile applications such as autonomous driving, virtual reality, and interactive online gaming. Based on the consideration of the size and production cost of wireless devices (such as sensors) in the Internet of Things, the battery capacity of wireless devices is often limited, while being energy-efficient and low-performance processors. Therefore, resource-constrained devices severely limit the development of computationally intensive applications. Therefore, in the field of research and development of modern Internet of Things technology, how to eliminate this bottleneck is a key issue. [0003] Today, this limitation is addressed by offloading...

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Problems solved by technology

[0005] In order to solve the problem of challenging resource management and allocation in the prior art due to the unpredictability of task arrival, wireless channel state and energy consumption, the present invention proposes a multi-user multi-task based on heterogeneous energy acquisition The energy-saving method of mobile edge computing adopts Lyapunov optimization theory and convex optimization theory for joint resource management and allocation to reduce the time-average energy consumption of multi-user and multi-task MEC systems in heterogeneous energy collection sites

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