Journal of Cloud Computing and Internet of Things ISSN: 3107-4391 (Online)

Authors: Shiva Mishra, Pooja Verma

Abstract: The integration of Cloud Computing (CC) and the Internet of Things (IoT) has the potential to revolutionize various industries by enabling scalable and efficient solutions. This paper investigates the scalability and performance optimization challenges in Cloud-IoT architectures, focusing on key factors that influence system performance, such as data processing, storage, and network communication. We review state-of-the-art techniques and methodologies for optimizing scalability and performance in Cloud-IoT systems, including distributed computing, edge computing, and load balancing strategies. The paper also presents a comparative analysis of different optimization approaches, highlighting their advantages and limitations. Through case studies and real-world implementations, we demonstrate the impact of these optimization techniques on the efficiency and scalability of Cloud-IoT architectures. The paper concludes with recommendations for future research to further enhance the scalability and performance of Cloud-IoT systems.

Keywords: Cloud Computing, Internet of Things (IoT), Edge Computing, Scalability, Performance Optimization, Data Security, Edge AI