Atharv Gyan

Edge computing represents a paradigm shift in the way computing resources are deployed and managed, particularly in relation to cloud architecture. Traditionally, cloud computing involves centralized data centers where processing, storage, and networking functions are concentrated. However, with the rise of edge computing, computing tasks are distributed closer to the data source or end-user devices, resulting in a more decentralized architecture. This shift has significant implications for cloud architecture, impacting aspects such as latency, scalability, security, and service delivery. One of the key impacts of edge computing on cloud architecture is the reduction of latency. By moving computing resources closer to the point of data generation or consumption, edge computing minimizes the distance that data must travel, resulting in lower latency and improved response times. This is particularly important for applications that require real-time or near-real-time processing, such as I