Design Scalability and Security of Cloud Applications and Services for Enabling Elastic Resource Management and Resilient Service Delivery in Multi-Tenant Environments

Stefan Heng

Authors

Stefan Heng Cloud Security Specialist Author

Keywords:

Cloud computing, multi-tenancy, elasticity, Scalability, resilient services, resource orchestration, cloud-native security, fault tolerance

Abstract

Cloud computing has evolved to support dynamic, elastic, and resilient service architectures catering to a wide range of tenants in shared environments. The focus of this paper is on the scalability and security aspects crucial to designing cloud-native applications capable of adaptive resource management and service continuity. With rising demand for high-availability, fault tolerance, and security, modern architectures such as microservices, zero-trust, and container orchestration are examined. The research explores emerging practices in ensuring robust isolation and responsiveness in multi-tenant cloud environments. Additionally, the paper highlights the trade-offs between scalability and security, particularly when implementing shared infrastructure across multiple clients. It addresses the role of automation and intelligent orchestration in reducing operational overhead while maintaining strict compliance boundaries. Real-world evaluation metrics and comparative analyses of leading cloud platforms further substantiate the proposed strategies for resilient service delivery and resource optimization.

References

Yang, Yuqing, et al. "A Systematic Review of Scheduling Approaches on Multi-Tenancy Cloud Platforms." Information and Software Technology, vol. 131, 2021, pp. 106488–106499.

Sellami, W., Hadj Kacem, H., and Hadj Kacem, A. "Dynamic Provisioning of Service Composition in a Multi-Tenant SaaS Environment." Journal of Network and Systems Management, vol. 28, no. 2, 2020, pp. 499–522.

Saif, M. A. N., Niranjan, S. K., and Al-Ariki, H. D. E. "Efficient Autonomic and Elastic Resource Management Techniques in Cloud Environment: Taxonomy and Analysis." Wireless Networks, vol. 27, no. 3, 2021, pp. 1767–1792.

Turki, Mariem. Toward Elastic Partitioning of Multi-Tenant Computing Systems at the Edge. University of Ferrara, 2021.

Kim, M., Mohindra, A., and Muthusamy, V. "Building Scalable, Secure, Multi-Tenant Cloud Services on IBM Bluemix." IBM Journal of Research and Development, vol. 60, no. 2–3, 2016, pp. 1–12.

Sellami, Wael, et al. "Elastic Multi-Tenant Business Process Based Service Pattern in Cloud Computing." IEEE International Conference on Cloud Computing, 2014, pp. 531–538.

Jia, Rui, et al. "A Systematic Review of Auto-Scaling Algorithms in Cloud Environments." Information and Software Technology, vol. 124, 2020, pp. 106293.

Al-Aqrabi, Hussain, et al. "A Cloud-Based Architecture for the Internet of Things Targeting Industrial Networks." Computer Networks, vol. 101, 2016, pp. 93–101.

Rimal, B. P., et al. "A Taxonomy and Survey of Cloud Computing Systems." NCM '09 Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC, 2009, pp. 44–51.

Baresi, Luciano, et al. "A Microservice-Based Middleware for IoT Applications." Proceedings of the International Conference on Service-Oriented Computing, 2016, pp. 19–33.

Rehman, S., and Hussain, F. "Access Control Mechanisms in Cloud Computing: A Survey." International Journal of Computer Applications, vol. 135, no. 14, 2017, pp. 1–7.

Khan, Khaled M., and Qutaibah M. Malluhi. "Establishing Trust in Cloud Computing." IT Professional, vol. 12, no. 5, 2010, pp. 20–27.

Modi, Chirag, et al. "A Survey of Intrusion Detection Techniques in Cloud." Journal of Network and Computer Applications, vol. 36, no. 1, 2013, pp. 42–57.

Singh, Amanpreet, and K. Chatterjee. "Cloud Security Issues and Challenges: A Survey." Journal of Network and Computer Applications, vol. 79, 2017, pp. 88–115.

Whaiduzzaman, M., et al. "A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges." Journal of Network and Computer Applications, vol. 42, 2014, pp. 1–9.