Smart caching based on mobile agent of power WebGIS platform

Area of Science:

• Computer Science
• Electrical Engineering
• Geographic Information Systems

Background:

• Power information construction is increasingly intensive, platform-based, and distributed.
• Expansion of power grids and advancements in information technology necessitate new solutions.
• Traditional WebGIS may face performance limitations with growing data volumes.

Purpose of the Study:

• To design and develop a power WebGIS architecture.
• To investigate and implement advanced caching technologies for power WebGIS.
• To evaluate the performance improvements offered by the proposed caching model.

Main Methods:

• Developed a power WebGIS architecture and functionality.
• Studied dynamic display cache models, mobile agent-based caching structures, and cache data models.
• Conducted performance experiments comparing the proposed caching model with traditional WebGIS across varying data capacities.

Main Results:

• Response times for WebGIS increased with data capacity in both models.
• The proposed caching model demonstrated significantly higher performance improvements compared to traditional WebGIS as data size grew.
• The caching strategy effectively mitigated performance degradation with larger datasets.

Conclusions:

• The developed power WebGIS with the proposed caching model offers superior performance.
• Caching technology is crucial for optimizing the efficiency of power WebGIS with large-scale data.
• The findings support the adoption of this advanced WebGIS for modern power information construction.