Abstract

In order to solve the drawbacks of the traditional message push mechanism in terms of diversity, power consumption, traffic consumption, and message real-time performance, an adaptive scheduling algorithm was designed. Based on the algorithm, an adaptive message push strategy that can dynami-cally allocate message push mode for the terminal was proposed. The exper-imental results showed that this strategy could reduce the power consumption of mobile terminals and save network traffic while adapting to the diversity of terminals. Therefore, it can ensure the real-time performance of messages.

Highlights

  • At present, there are two ways of pushing: polling and long connection

  • The results of performance comparison show that the adaptive message push strategy adapts to the terminal diversity and reduces the power consumption of the mobile terminal compared to the long connection method

  • In the mobile teaching cloud resource pushing process, the traditional message pushing mechanism has the problems of difficulty in balancing the terminal's diversity, power consumption, traffic consumption, and message real-time performance requirements

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Summary

Introduction

There are two ways of pushing: polling and long connection. In polling mode, the speed of polling frequency is inversely proportional to the Interval set by the client. The traditional message push mechanism is difficult to take into consideration the terminal's diversity, power consumption, traffic consumption, and message real-time performance requirements To solve these problems, an adaptive message push strategy is proposed. Terminal-based message push methods are divided into two types according to the adopted technical principles: polling-based push mode (abbreviation: polling) and longconnection-based push mode (abbreviation: long connection). Neither of these two push methods can meet the requirements of supporting the diversity of hardware and software of the terminal, saving resource overhead (power of the terminal, network traffic) and ensuring the real-time performance of the message. The design of a push method suitable for the platform is imminent

The demand analysis of teaching resources pushing
Adaptive scheduling algorithm
Performance evaluation parameter model
Implementation of adaptive message push strategy
Result analysis and discussion
Diversity of mobile terminals
Conclusions
Findings
Authors
Full Text
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