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All Journal The Eastasouth Journal of Information System and Computer Science
Kamal Khan
Department of Computer Science, National University, Gazipur, 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.
Design and Implementation of Secure and Scalable Distributed Computing Systems for Modern Applications Partha Sarothi; Zulfiqur Rahman; Amrita Khan; Amit Kumar; Kamal Khan
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.v2i02.1074

Abstract

The rapid growth of modern applications, including cloud computing, big data analytics, and Internet of Things (IoT), has significantly increased the demand for secure and scalable distributed computing systems. Traditional centralized architecture is no longer sufficient to handle large-scale data processing and dynamic workloads, leading to the adoption of distributed computing paradigms. This study presents the design and implementation of a secure and scalable distributed computing framework, supported by performance evaluation through analytical figures illustrating system scalability, resource utilization, latency, and security effectiveness. The analysis demonstrates that distributed architectures significantly improve system scalability by enabling horizontal scaling and efficient workload distribution across multiple nodes. The figures highlight that as the number of nodes increases; system throughput improves while latency is reduced through optimized communication and load balancing mechanisms. Additionally, the implementation of advanced security protocols, including encryption, authentication, and access control, enhances system resilience against cyber threats. The results further indicate that the integration of containerization and orchestration technologies, such as Kubernetes, improves resource utilization and system reliability. Security evaluation metrics show a reduction in vulnerability exposure and improved threat detection capabilities in distributed environments. However, the figures also reveal challenges related to network latency and resource management, particularly in highly dynamic environments.
Co-Authors Amit Kumar Amrita Khan Amrita Khan Anamika Roy Jhon Kabir Partha Sarothi Zamil Rahman Zulfiqur Rahman