OPTIMIZATION CONCEPT OF RETRIEVING AND DISPLAYING LARGE AMOUNTS OF DATA IN WEB APPLICATIONS
DOI:
https://doi.org/10.24867/30OI01KareticKeywords:
Data Optimization, Server-side Pagination, Data Indexing, Large Data SetsAbstract
The paper explores optimizing data display within the PICO Portal software, a platform for accessing scientific papers. It focuses on challenges in handling large datasets and efficient solutions like server-side pagination, indexing, and caching. The paper presents issues in the original code, solutions, and their effects on system performance and user experience.
References
[1] Wang P., Xi Y., Ma L., Cai C., “Research and Implementation of Pagination Algorithm over Massive Data Based on Ajax Technology”, IEEE, 2009. doi: 10.1109/ICMSS.2009.5303991
[2] Yang F. et al., “A unified platform for data driven web applications with automatic client-server partitioning”, WWW Conf., ACM, 2007. doi: 10.1145/1242572.1242619
[3] Pažun B., “Preporuke za optimizaciju baza podataka”, Serbian J. Eng. Manag., 2017. doi: 10.5937/SJEM1701046P
[4] Esteves A., Fernandes J., “Improving the Latency of Python-based Web Applications”
[5] Panwar V., “Optimizing Big Data Processing in SQL Server through Advanced Utilization of Stored Procedures”, Int. J. Manag. IT Eng., 2024