Designing Resilient Multi-Tenant Architectures in Cloud Environments
DOI:
https://doi.org/10.36676/jrps.v11.i4.1586Keywords:
Resilient architecture, multi-tenant systems, cloud environments, fault tolerance, security measures, data isolation, resource allocationAbstract
The increasing demand for scalable and cost-effective cloud solutions has led to the widespread adoption of multi-tenant architectures, where multiple customers share a single instance of software while maintaining data isolation. However, designing resilient multi-tenant architectures poses significant challenges, particularly in ensuring reliability, security, and performance across diverse tenant workloads. This paper explores the key design principles and strategies essential for building resilient multi-tenant systems in cloud environments. We discuss the importance of fault tolerance, emphasizing redundancy and data replication to ensure uninterrupted service delivery. Additionally, we address the critical need for robust security measures, including access control and encryption, to protect tenant data from breaches and unauthorized access. Performance optimization techniques, such as resource allocation and load balancing, are examined to enhance responsiveness and scalability while maintaining isolation among tenants. Furthermore, we highlight the role of monitoring and analytics in identifying potential failures and bottlenecks, enabling proactive management of system health. Through a comprehensive review of existing frameworks and best practices, this paper provides insights into the effective design of resilient multi-tenant architectures that meet the growing demands of cloud-based services while ensuring a secure and high-performance environment for all users. The findings aim to guide cloud architects and developers in creating robust systems that enhance customer satisfaction and operational efficiency.
References
Alzain, M. A., Abawajy, J. H., & Sadiq, S. (2015). "Cloud Computing and Multi-Tenant Architecture: Opportunities and Challenges." Journal of Cloud Computing: Advances, Systems and Applications, 4(1), 15-25.
Alkhateeb, A. M. A., Al-Qadi, A. M., & Aljuaid, H. A. (2016). "Fault-Tolerant Multi-Tenant Systems in Cloud Computing." International Journal of Cloud Computing and Services Science, 5(2), 67-75.
Gupta, S., & Arora, A. (2017). "Security Issues in Multi-Tenant Cloud Systems: Challenges and Solutions." International Journal of Computer Applications, 162(3), 31-36.
Kim, K. H., Lee, J. Y., & Park, H. J. (2018). "Performance Optimization Techniques in Cloud Computing: A Survey." Cloud Computing: Theory and Practice, 3(2), 102-117.
Silva, C. D. P., Barros, L. C., & Dantas, D. D. (2018). "Assessing Resilience in Cloud Multi-Tenancy: A Framework." Journal of Network and Computer Applications, 116, 22-31.
Chen, Y. S., Lee, Y. S., & Chen, W. C. (2019). "Privacy-Preserving Techniques in Multi-Tenant Cloud Environments." IEEE Transactions on Cloud Computing, 7(1), 123-135.
Dey, R. P., Roy, P., & Gupta, P. (2019). "Resource Management Strategies in Multi-Tenant Cloud Environments." Journal of Computer Networks and Communications, 2019, Article ID 678946.
Thangavel, P. M., Sharma, A., & Ramesh, G. (2020). "Dynamic Load Balancing in Multi-Tenant Cloud Systems: An Overview." International Journal of Cloud Computing and Services Science, 9(1), 25-35.
Khattak, H. A., Kim, T. H., & Zafar, H. (2020). "AI-Driven Security Solutions for Multi-Tenant Cloud Architectures." Journal of Information Security and Applications, 54, 102570.
Alhassan, T. B. A., Rauf, I., & Malik, A. (2020). "Continuous Monitoring for Resilient Multi-Tenant Systems in Cloud Computing." International Journal of Information Management, 51, 102037.
Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
Singh, S. P. & Goel, P., (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh DOI: https://doi.org/10.32804/IRJMSH
Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. https://rjpn.org/ijcspub/papers/IJCSP20B1006.pdf
"Effective Strategies for Building Parallel and Distributed Systems", International Journal of Novel Research and Development, ISSN:2456-4184, Vol.5, Issue 1, page no.23-42, January-2020. http://www.ijnrd.org/papers/IJNRD2001005.pdf
"Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Challenges and Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.96-108, September-2020, https://www.jetir.org/papers/JETIR2009478.pdf
Venkata Ramanaiah Chintha, Priyanshi, Prof.(Dr) Sangeet Vashishtha, "5G Networks: Optimization of Massive MIMO", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.389-406, February-2020. (http://www.ijrar.org/IJRAR19S1815.pdf )
Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491 https://www.ijrar.org/papers/IJRAR19D5684.pdf
Sumit Shekhar, SHALU JAIN, DR. POORNIMA TYAGI, "Advanced Strategies for Cloud Security and Compliance: A Comparative Study", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.396-407, January 2020. (http://www.ijrar.org/IJRAR19S1816.pdf )
"Comparative Analysis OF GRPC VS. ZeroMQ for Fast Communication", International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 2, page no.937-951, February-2020. (http://www.jetir.org/papers/JETIR2002540.pdf )
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. https://rjpn.org/ijcspub/papers/IJCSP20B1006.pdf
"Effective Strategies for Building Parallel and Distributed Systems". International Journal of Novel Research and Development, Vol.5, Issue 1, page no.23-42, January 2020. http://www.ijnrd.org/papers/IJNRD2001005.pdf
"Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Challenges and Solutions". International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 9, page no.96-108, September 2020. https://www.jetir.org/papers/JETIR2009478.pdf
Venkata Ramanaiah Chintha, Priyanshi, & Prof.(Dr) Sangeet Vashishtha (2020). "5G Networks: Optimization of Massive MIMO". International Journal of Research and Analytical Reviews (IJRAR), Volume.7, Issue 1, Page No pp.389-406, February 2020. (http://www.ijrar.org/IJRAR19S1815.pdf)
Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491. https://www.ijrar.org/papers/IJRAR19D5684.pdf
Sumit Shekhar, Shalu Jain, & Dr. Poornima Tyagi. "Advanced Strategies for Cloud Security and Compliance: A Comparative Study". International Journal of Research and Analytical Reviews (IJRAR), Volume.7, Issue 1, Page No pp.396-407, January 2020. (http://www.ijrar.org/IJRAR19S1816.pdf)
"Comparative Analysis of GRPC vs. ZeroMQ for Fast Communication". International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 2, page no.937-951, February 2020. (http://www.jetir.org/papers/JETIR2002540.pdf)
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. Available at: http://www.ijcspub/papers/IJCSP20B1006.pdf
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