Designing and Evaluating Low Latency Web APIs for High Transaction and Industrial Internet Systems: Architectural, Methodological, and Socio Technical Perspectives
Abstract
The accelerating convergence of high transaction digital platforms, industrial Internet of Things ecosystems, and cloud native software architectures has positioned low latency web application programming interfaces as a foundational element of contemporary computational infrastructures. Across financial trading platforms, large scale e commerce systems, industrial automation networks, and mission critical cyber physical environments, the ability of web APIs to deliver predictable, minimal latency under extreme transactional loads has become inseparable from system reliability, business continuity, and operational safety. Despite the proliferation of frameworks, protocols, and performance engineering practices claiming to support low latency interaction, the academic understanding of how web APIs should be systematically designed, evaluated, and benchmarked in high transaction contexts remains fragmented across software engineering, networking, and industrial informatics literatures. This research addresses that fragmentation by developing a comprehensive analytical investigation into low latency web API design, grounded in recent empirical benchmarking research and extended through a multidisciplinary theoretical lens.
The findings demonstrate that low latency performance in high transaction APIs is not solely a function of protocol choice or hardware capability, but emerges from a socio technical configuration in which requirements clarity, architectural governance, development practices, and operational monitoring are tightly aligned. The discussion critically examines dominant assumptions within both academic and industrial discourse, challenges reductionist benchmarking approaches, and proposes directions for future research that foreground longitudinal evaluation, cross domain generalizability, and ethical considerations in high speed digital infrastructures. By positioning low latency web APIs as complex systems rather than isolated technical artifacts, this research contributes a theoretically rich and practically relevant foundation for scholars and practitioners navigating the demands of next generation high transaction environments.
Keywords
References
Most read articles by the same author(s)
- Mohammed Imran Choudhary, AI-Augmented Network-Forensics: Leveraging LLMs for Real-Time Threat Detection and Automated Response in Enterprise Environments , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Sashank Siwakoti, Bhaskar Chaganti, Human-in-the-Loop Control Planes for Cortex Agents: Policy-Driven Escalation, Approval, and Evidence Capture , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Priya Sharma, A Data-Centric Approach to Transforming Digital Retail Through Artificial Intelligence-Based Shopping Systems , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Sonam Kumari, Enhancing Clinical Decision-Making Using Generative AI-Powered Knowledge Retrieval Systems: A Review of Emerging Approaches and Challenges , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Nguyen Minh Anh, Tran Quoc Bao, Unsupervised Learning Framework for Country Clustering Based on Agricultural Import Patterns , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Amit Kumar Dhariwal, Comprehensive Study on the Use of Artificial Intelligence to Minimize Bias in Healthcare Succession Management , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Suprajyotsna Dasari , Automated Testing Techniques for Enterprise Software Systems with GenAI Integration , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Dr. Amit Jain, A Comprehensive Survey of Recent Advances Artificial Intelligence for Insurance Fraud Detection , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Severov Arseni Vasilievich, Artyom V. Smirnov, Architecting Real-Time Risk Stratification in the Insurance Sector: A Deep Convolutional and Recurrent Neural Network Framework for Dynamic Predictive Modeling , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Nimal Perera, Anjali Fernando, Robust Browser Fingerprinting Under Adversarial Conditions: An AI-Driven Detection and Defense Architecture , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
Similar Articles
- Kolchin Rustam, Development and Implementation of the Mail Security Guardian (MSG) System for Multi-Layer Proactive Email Protection Against Spam, Phishing and Malware , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Dr. Michael Lawson, Dr. Victor Almeida, Securing Deep Neural Networks: A Life-Cycle Perspective On Trojan Attacks And Defensive Measures , International Journal of Advanced Artificial Intelligence Research: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Prof. Michael T. Edwards, ENHANCING AI-CYBERSECURITY EDUCATION: DEVELOPMENT OF AN AI-BASED CYBERHARASSMENT DETECTION LABORATORY EXERCISE , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 02 (2025): Volume 02 Issue 02
- Dr. Haruto Nakamura, Dr. Yui Takahashi, A Novel Cuckoo Search–Driven Tabu Search Approach for Efficient Global Optimization and Complex Search Space Exploration , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Olabayoji Oluwatofunmi Oladepo., Opeyemi Eebru Alao, EXPLAINABLE MACHINE LEARNING FOR FINANCIAL ANALYSIS , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 07 (2025): Volume 02 Issue 07
- Bagus Candra, Minh Thu Nguyen, A Comprehensive Evaluation Of Shekar: An Open-Source Python Framework For State-Of-The-Art Persian Natural Language Processing And Computational Linguistics , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Myroslav Mishov, Autonomous Threat Remediation in Localized AI Environments: A Review of Security-as-Code Execution Models , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Sashank Siwakoti, Bhaskar Chaganti, Human-in-the-Loop Control Planes for Cortex Agents: Policy-Driven Escalation, Approval, and Evidence Capture , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 09 (2026): Volume 03 Issue 09
- Ms. Anamika Soni, Analyzing Software Adoption in Enterprises: A Survey of Frameworks and Metrics , International Journal of Advanced Artificial Intelligence Research: Vol. 3 No. 07 (2026): Volume 03 Issue 07
- Adrian Velasco, Meera Narayan, REVOLUTIONIZING SILICON PHOTONIC DEVICE DESIGN THROUGH DEEP GENERATIVE MODELS: AN INVERSE APPROACH AND EMERGING TRENDS , International Journal of Advanced Artificial Intelligence Research: Vol. 2 No. 06 (2025): Volume 02 Issue 06
You may also start an advanced similarity search for this article.