Performance Optimization in Multi-Tenant Cloud Environments for IoT Devices
DOI:
https://doi.org/10.63282/3050-922X.ICRCEDA25-119Keywords:
Multi-tenant cloud environments, Performance optimization, IoT devices, Resource allocation, Edge computing, Cloud computing, Latency, Virtualization, Quality of Service (QoS), Internet of Things (IoT)Abstract
The rapid expansion of Internet of Things (IoT) devices has led to the increasing adoption of multi-tenant cloud environments to manage and process large amounts of data generated by these devices. However, the complexity of IoT systems, coupled with the shared nature of resources in multi-tenant clouds, creates unique performance challenges such as latency, resource contention, and data security. This paper investigates various techniques for optimizing performance in multi-tenant cloud environments for IoT devices. We explore key performance indicators (KPIs), optimization strategies such as resource allocation, edge computing, and virtualization, and present a framework to address performance bottlenecks. Additionally, we evaluate real-world applications and case studies to highlight the practical impact of these optimization methods. The findings suggest that a hybrid approach leveraging both cloud and edge computing resources, combined with intelligent resource management, can significantly improve the performance of IoT systems in multi-tenant cloud environments
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