Lightweight similarity checking for English literatures in mobile edge computing

Area of Science:

• Computer Science
• Information Science

Background:

• Mobile devices are integral to daily office tasks, including academic research.
• Traditional cloud-based literature similarity checking is computationally intensive and time-consuming.
• Existing methods are not optimized for the constraints of mobile edge computing.

Purpose of the Study:

• To adapt traditional literature similarity checking for mobile edge environments.
• To propose a novel, lightweight similarity checking approach for English literatures.
• To evaluate the efficiency and effectiveness of the proposed method.

Main Methods:

• Modification of existing cloud-based similarity checking algorithms.
• Development of a lightweight similarity checking algorithm tailored for mobile edge computing.
• Extensive experimental validation using a large dataset.

Main Results:

• The proposed lightweight approach achieves satisfactory literature similarity checking results.
• Experimental results demonstrate superior performance compared to existing methods.
• The approach is suitable for the resource-constrained mobile edge environment.

Conclusions:

• The developed lightweight approach effectively addresses the limitations of traditional methods.
• This research facilitates efficient academic research and literature analysis on mobile devices.
• The proposed method enhances the utility of mobile edge computing for information processing tasks.