Navigating Scalability Challenges in Distributed Systems
DOI:
https://doi.org/10.32628/CSEIT25111295Keywords:
Distributed Computing, Infrastructure Optimization, Performance Scalability, Resilient Systems, Technological InnovationAbstract
Distributed computing has emerged as a transformative paradigm that fundamentally reshapes our understanding of computational infrastructure. This comprehensive analysis explores the intricate landscape of modern distributed systems, examining the critical challenges and innovative solutions that drive technological evolution. By exploring the complex interplay between scalability, performance optimization, resiliency, and emerging technologies, the article unveils the profound ways in which organizations are reimagining computational architectures. The article delves into the transition from monolithic systems to dynamic, adaptive infrastructures, highlighting the strategic importance of flexible, intelligent computing environments that can respond to increasingly sophisticated technological demands.
Downloads
References
John F. Gantz, et al. "The U.S. Datasphere: Consumers Flocking to Cloud," International Data Corporation (IDC) and Seagate, 2020. [Online]. Available: https://www.seagate.com/files/www-content/our-story/trends/files/data-age-us-idc.pdf
Ben Pring, et al., "Forecast: Sizing the Cloud; Understanding the Opportunities in Cloud Services," Gartner, Inc. 2009. [Online]. Available: http://images.lesechos.fr/archives/2009/lesechos.fr/05/19/300350239.pdf
Sukhum Singh, et al., "Analysis of Scaling in Cloud Infrastructure," 2018 International Conference on Inventive Research in Computing Applications (ICIRCA). [Online]. Available: https://ieeexplore.ieee.org/document/8597194
Alfred Zimmermann, et al., "Evolution of Enterprise Architecture for Digital Transformation," IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), 2018. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8536109
Manjula Ka, et al., "Distributed Computing Approaches For Scalability And High Performance," International Journal of Engineering Science and Technology 2(6), 2010. [Online]. Available: https://www.researchgate.net/publication/50282028_DISTRIBUTED_COMPUTING_APPROACHES_FOR_SCALABILITY_AND_HIGH_PERFORMANCE
Jim Gray, et al., "Distributed Computing Economics," Technical Report, 2003. [Online]. Available: https://arxiv.org/pdf/cs/0403019
N. Kandasamy, et al., "A Hierarchical Optimization Framework for Autonomic Performance Management of Distributed Computing Systems," 26th IEEE International Conference on Distributed Computing Systems (ICDCS'06), 2006. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/1648796
Michael Maurer, et al., "Adaptive resource configuration for Cloud infrastructure management," Future Generation Computer Systems, Volume 29, Issue 2, February 2013, Pages 472-487. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0167739X12001525
Infosys Research, "Resilience in Distributed Systems: Strategies for Financial and Technology Sectors," 2023. [Online]. Available: https://www.infosys.com/industries/financial-services/insights/documents/resilience-distributed-systems.pdf
Linux Kernel Documentation, "kvm: the Linux Virtual Machine Monitor," Linux Symposium Proceedings, 2007. [Online]. Available: https://www.kernel.org/doc/ols/2007/ols2007v1-pages-225-230.pdf
Velibor Božić, "Microservices Architecture: Challenges and Opportunities," ResearchGate Publication, 2023. [Online]. Available: https://www.researchgate.net/publication/369039197_Microservices_Architecture
Junzo Watada, "Emerging Trends, Techniques and Open Issues of Containerization: A Review," IEEE Access ( Volume: 7), 2019. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8861307
Dinesh Soni, et al., "Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy," Journal of Network and Computer Applications, Volume 205, September 2022, 103419. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S1084804522000765
Sukhpal Singh Gill, et al., "AI for next generation computing: Emerging trends and future directions," Internet of Things, Volume 19, August 2022, 100514. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S254266052200018X
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.