A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves significant performance improvements while establishing robust security management systems protecting against SQL injection, denial-of-service attacks, and unauthorized access across high-concurrency big data environments.
— The explosive growth of data volume and high-concurrency demands in big data systems exposes critical limitations in traditional database connection modes and access mechanisms. Traditional approaches cannot meet modern application requirements, revealing deficiencies including resource consumption, response delays, and connection bottlenecks. Recent research published in the Academic Journal of Computing & Information Science introduces comprehensive frameworks integrating optimization techniques with advanced security architectures to fundamentally transform database access efficiency and protection capabilities.
The analytical foundation addresses fundamental bottlenecks through connection pooling technology that pre-establishes and maintains reusable database connections. By eliminating resource overhead from frequent connection establishment and closure, the system improves concurrent processing capabilities while controlling maximum connection limits to prevent server resource exhaustion. The framework implements idle connection management with timeout reclamation mechanisms, periodically recovering long-unused connections to maintain optimal resource allocation. In distributed database environments, connection pools manage load balancing across multiple nodes, evenly distributing requests to prevent node overload.
Complementing connection optimization, multi-tier caching mechanisms reduce database load and improve access efficiency across client, middle-tier, and database memory layers. Middle-tier caching through systems including Redis and Memcached maintains hotspot data in memory, dramatically reducing database I/O operations for read-intensive scenarios while increasing throughput for high-frequency operations.
Security management establishes comprehensive protection through authentication, encryption, and firewall architectures. Multi-factor authentication combines multiple validation factors, while role-based access control assigns permissions through user roles, implementing least privilege principles. Data encryption protections span transmission and storage layers through SSL/TLS protocols and full disk encryption. Database firewalls provide critical protection against SQL injection attacks by detecting abnormal patterns in queries, preventing denial-of-service attacks through request rate limiting, and implementing real-time traffic monitoring to identify anomalous behaviors.
Contributing to this research is Yiru Zhang, holding a Master of Engineering in Computer Science from Cornell Tech and a Bachelor of Science in Computer Science and Mathematics from the College of William & Mary. Academic coursework in Data Structures and Algorithms, Security and Privacy, Database Systems, and Data Science directly informs the approach to building efficient, secure, and scalable solutions.
Professional experience as a Software Development Engineer encompasses designing and maintaining software applications, writing efficient code following established best practices, and monitoring application performance metrics to optimize scalability and reliability. Zhang’s engineering approach emphasizes iterative development through agile sprints, customer collaboration throughout development processes, and adaptability to evolving requirements and market shifts.
Zhang’s work on Amazon Anywhere, an innovative, patented project, enables product sales across social media platforms, including Meta, TikTok, and Snap, video game companies including Nintendo and Electronic Arts, and streaming services including Netflix. This cross-platform integration addresses a market segment generating $120 billion in 2020, creating significant economic expansion potential and job opportunities across software development, fulfillment networks, supply chain operations, and retail sectors. The platform benefits social media companies through increased advertisement investment while providing commission revenue for content creators and experience owners.
This body of work represents significant contributions to database systems engineering and e-commerce platform development, establishing frameworks that balance performance optimization with comprehensive security protection while driving economic growth and employment opportunities across multiple industries in an increasingly complex digital ecosystem.
Contact Info:
Name: Yiru Zhang
Email: Send Email
Organization: Yiru Zhang
Website: https://scholar.google.com/citations?view_op=list_works&hl=zh-CN&user=mWe7lQMAAAAJ
Release ID: 89173483
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