Applied Science and Engineering Journal for Advanced Research

The Evolution of Middleware in Enterprise Architectures: A Future Outlook

2025-01-28T13:47:47+0530

Middleware technologies serve as critical enablers for seamless integration, communication, and management of distributed systems across diverse enterprise environments. As technological paradigms evolve, the future of middleware is set to be transformed by innovations in artificial intelligence (AI), hybrid and multi-cloud orchestration, zero-trust security frameworks, data-centric architectures, and low-code development platforms. AI-powered middleware will revolutionize system management by automating complex tasks such as anomaly detection, predictive maintenance, and dynamic traffic routing. In hybrid cloud contexts, advanced orchestration layers will abstract cloud complexities, enabling interoperability and portability. Middleware aligned with zero-trust models will embed context-aware security and fine-grained policy enforcement into core communication layers. Additionally, data-centric middleware will support real-time integration, predictive analytics, and automated governance, enhancing decision-making processes. Finally, low-code middleware abstractions will democratize integration capabilities, empowering non-technical users to build complex workflows with ease. This paper explores these emerging trends and highlights the pivotal role of middleware in future enterprise IT ecosystems.

Transforming Network Architectures with VMware NSX-T Data Centre: A Deep Dive into Software-Defined Networking for Multi-Cloud Environments

2025-02-01T13:20:38+0530

The rapid evolution of network architectures has increased the demand for scalable, secure, and automated solutions to manage complex multi-cloud environments. VMware NSX-T Data Center is a leading software-defined networking (SDN) platform that offers enhanced network virtualization, micro-segmentation, and Zero Trust security frameworks. This paper presents a comprehensive analysis of NSX-T’s transformative impact on modern networks. Results show that NSX-T reduces lateral attack surfaces by 95%, improves cloud resource provisioning times by 50%, and lowers manual configuration efforts by 60%. Additionally, latency reductions of 50% in 5G networks and throughput increases of 50% in large-scale data centers highlight its performance benefits. Despite deployment complexities and cost challenges, NSX-T demonstrates significant potential in advancing 5G, edge computing, and AI-driven network automation.

Streamlining Network Operations: Combining Meraki MX with Cisco DNA Center for Automation and Assurance

2025-02-01T17:12:26+0530

This research explores the integration of Meraki MX with Cisco DNA Center to better operate networks, automate management processes, and ensure network performance and reliability. Modern network environments are becoming increasingly complex, and organizations are seeking solutions that make it possible to enhance automation, reduce manual work, and improve operating efficiency. The study primarily evaluates the level of automation through the Meraki MX device, scrutinizes the implementation and performance assured through Cisco DNA Center, and investigates the positive impacts of merging them on performance efficiency and efficacy of the operations in the networks. This exploratory qualitative piece synthesizes qualitative case studies based on secondary research on expert views and technical manuals regarding the aspects and best practice that could or are being accomplished in this mergence. The results indicate major network performance improvement, which include a 6.5% increase in uptime, a 62.5% reduction in troubleshooting time, and a 20% increase in network health score. On the other hand, the issues included compatibility with legacy systems, initial setup costs, and training of staff were identified. Based on the research, the conclusion is that integration offers great advantages in terms of automation and efficiency in operation; however, it has to address these challenges to be successfully implemented. It seems the research helps develop a better understanding of how the union of Meraki MX with Cisco DNA Center could optimize network management by giving practical insights into surmounting integration hurdles and maximum performance.

Driving Digital Transformation: Leveraging Site Reliability Engineering and Platform Engineering for Scalable and Resilient Systems

2025-02-04T11:56:52+0530

In today's competitive landscape, achieving scalability, resilience, and rapid innovation is important for organizations seeking digital transformation. This paper describes how Site Reliability Engineering (SRE) and Platform Engineering can be used to help drive these transformations. Integrating SRE practices with robust platform engineering methodologies allows organizations to develop the tools they need to build scalable, high-performing, and resilient systems. The paper discusses methodologies used, a mixed-method approach combining qualitative case studies and quantitative performance metrics, to evaluate the impact of SRE and Platform Engineering. Results from case studies across multiple organizations indicate important improvements in uptime, recovery time, scalability, and overall efficiency of the systems. This work highlights the crucial role that these engineering practices play in enabling digital transformation and operational excellence.

Beef Quality Classification and Logistics Patterns over Local, Regional, and National Supply Chains in South Korea

2025-01-31T14:17:06+0530

In this paper, we intend to examine the impact of several biological factors such as cattle types, gender, and weights on beef quality using data sets obtained from the digital beef traceability system in South Korea. In addition, we also like to identify several cities or slaughter houses that produce the highest quality of beef to validate whether best places for Hanwoo in our analysis are consistent with cities constantly recommended from Google query and many Koreans. Then we calibrate a machine learning model to identify cattle that are most likely to produce the highest-grade beef. According to our calibrated decision tree (DT) model, neutralized male Hanwoo with a certain weight range is most likely to produce high grade meat and our DT model performs at least twice better than a random model in terms of correctly identifying positive samples when top 20% and 40 % of cattle were chosen for a prediction task. Finally, we like to explore different types of beef supply chains in the current digital traceability system and profile them based on their distinct geographical coverages and beef consumption patterns.

Structural Simulation Analysis of a Hybridized Composite Pulley using SolidWorks Simulation Technique

2025-02-04T11:49:58+0530

This study explores the simulation and finite element analysis of a pulley hybridized composite reinforced (with silica sand and soda-lime glass) A36 grade steel and cast iron steel. SolidWorks simulation techniques were used in this study for the numerical analysis of stress-strain distribution and deformation under applied torque. A simulation study was carried out under the three different materials. The hybridized pulley had the highest strain and displacement of 5.63×10⁻² and 1.258×10⁻² for cast iron but the least weight of 1.8659N for the hybridized pulley. The material of choice based on displacement was cast iron pulley material, but based on weight and operational sufficiency, the hybridized pulley material can also be chosen because there were no large deviations from the strain and displacement analysis.

Optimizing Cloud Infrastructure through Advanced Development Practices in Financial Applications

2025-02-14T11:29:33+0530

Scalability, cost-effectiveness, and security are all advantages of cloud computing, which has become an indispensable component of financial applications. The optimization of infrastructure to enhance performance, reduce expenses, and enhance security remains a challenge as financial institutions continue to transition to the cloud. This study examines the impact of advanced development methodologies—DevOps, microservices architecture, Infrastructure as Code (IaC), and cloud cost optimization techniques—on the efficacy of cloud services in financial applications.

The research evaluates critical performance attributes, including deployment speed, resource utilization, cost efficiency, system downtime, and security vulnerabilities, in comparison to traditional and optimized cloud configurations. Findings include a 40% reduction in deployment duration, a 30% improvement in resource efficiency, a 25% cost reduction, a 60% decrease in outage, and a 60% reduction in security issues. These results emphasize that strategic cloud optimization significantly enhances operational efficiency while simultaneously guaranteeing compliance and security.

The research reveals that in order to achieve enduring scalability, resilience, and cost efficiency, financial institutions must implement a comprehensive cloud optimization strategy. Blockchain integration and AI-driven cloud administration may be explored in future research to improve the security of cloud applications in the financial sector.

Balancing Innovation and Compliance in Financial SaaS Platforms: Harnessing Technology and Tools Convergence at PayPal

2025-02-22T13:31:51+0530

This research explores the strategic integration of RegTech in Financial SaaS platforms with a specific focus on PayPal and analyzes the company balance criteria with the technological processes. Thus, this research employs a secondary data, inductive approach, adopting interpretivism philosophy6 to enhance the research criteria. Thus, this research uses thematic analysis to evaluate PayPal’s adoption of AI-driven fraud detection, blockchain security and data analytics to develop transaction security and user experience while ensuring regulatory adherence. Findings indicate that PayPal has crucial development automation in compliance and reducing regulatory risks while improving efficiency and consumer trust. The company has experienced 2a 0.58% increase in daily transactions with 95% adoption of AI-driven detection by 2023. Moreover, this research analysis highlights that while technological advancements develop efficiency, regulatory complexities across jurisdictions pose ongoing challenges. Therefore, this research underscores the necessity of continuous innovation in compliance management and emphasizes RegTech solutions for sustainable growth.