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All Journal The Eastasouth Journal of Information System and Computer Science
Jhon Kabir
Independent Researcher, Khulna, Bangladesh
Computer Science & IT

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Cloud-Based Architectural Framework for Scalable and High-Performance Smart Applications Kamal Khan; Zamil Rahman; Amrita Khan; Anamika Roy; Jhon Kabir
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.1072

Abstract

The rapid evolution of smart applications, driven by advancements in the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, has significantly increased the demand for scalable and high-performance computing infrastructures. Traditional architecture often struggles to meet these requirements due to limitations in resource scalability, processing efficiency, and system flexibility. The proposed framework emphasizes a layered architecture consisting of data acquisition, processing, service management, and application layers, ensuring efficient data flow and resource utilization. It leverages cloud-native principles to enable horizontal scalability, fault tolerance, and continuous deployment. Additionally, the integration of edge computing reduces latency by processing time-sensitive data closer to the source, thereby improving real-time responsiveness. Performance optimization techniques, including auto-scaling and load balancing, are incorporated to ensure consistent system performance under varying workloads. The framework also addresses critical challenges such as interoperability, security, and resource management by incorporating standardized interfaces and intelligent orchestration mechanisms. Experimental analysis and conceptual evaluation indicate that the proposed architecture significantly enhances system scalability, reduces latency, and improves overall application performance compared to traditional models. This study contributes to the field by providing a comprehensive architectural model that aligns with the evolving requirements of modern smart applications. The findings demonstrate that cloud-based frameworks, when combined with emerging technologies, can effectively support large-scale, high-performance systems. The proposed approach offers valuable insights for researchers and practitioners in designing next-generation smart application infrastructures.
Microservices-Based System Design for Ensuring High Availability and System Reliability Khalid Khan; Zulfiqur Rahman; Amrita Khan; Anamika Roy; Jhon Kabir
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 02 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i02.1077

Abstract

The increasing demand for highly available and reliable software systems has driven the adoption of microservices-based architectures in modern distributed environments. The analysis is supported by two figures that illustrate key performance metrics such as system availability, mean time to repair (MTTR), mean time to failure (MTTF), response time, throughput, and failure rate under dynamic workloads. The results indicate that monolithic systems exhibit lower availability, higher response time, and increased failure rates, making them less suitable for modern, dynamic environments. The transition to microservices architecture improves fault isolation and scalability, resulting in enhanced reliability and reduced downtime. Further improvements are observed with the integration of load balancing mechanisms, which distribute workload efficiently across service instances, thereby increasing system resilience. The highest performance is achieved when microservices are combined with orchestration platforms such as Kubernetes. This configuration demonstrates near-optimal availability, minimal recovery time, and superior scalability, as evidenced by reduced response times and increased throughput. The study highlights the critical role of architectural design and supporting technologies in achieving high availability and reliability. The findings provide valuable insights for system designers and organizations aiming to build robust and scalable applications. Overall, microservices-based system design, when combined with advanced deployment and management strategies, offers a powerful solution for addressing the challenges of modern distributed systems.
Co-Authors Amrita Khan Anamika Roy Kamal Khan Khalid Khan Zamil Rahman Zulfiqur Rahman