Edge Computing vs. Cloud Computing: A Comparative Study in Resource Efficiency and Latency

Abstract

Computing at the edge and in the cloud have both become essential in meeting the rising need for low-latency applications and real-time data processing. The capacity to process data closer to the source, lowering latency and boosting resource efficiency has led to edge computing's rise to popularity, but cloud computing has long been the foundation of scalable, centralised computing. Research comparing cloud computing with edge computing with an emphasis on latency and resource efficiency. We compare and contrast the two paradigms' architectural features, looking at how cloud computing depends on centralised data centres, which can cause delays in data transmission owing to long-distance transmission, and how edge computing minimises data transfer times by processing information locally. We compare and contrast the two methods in a number of use scenarios, such as the Internet of Things (IoT), autonomous systems, and real-time analytics, by analysing their respective strengths and weaknesses. Hybrid systems that combine the best features of both cloud and edge computing can improve efficiency, scalability, and performance in today's computing settings.