International Journal of Satellite Remote Sensing Review Article
Implementing and Analyzing Network Commands in Cloud and Edge Computing Environments with Cisco Simulators
Abstract
The present review examines edge and cloud topologies and compares them according to latency. Instead of using distant data centers like cloud computing platforms, edge computing designs process data physically close to the source. Increased demand for Internet of Things (IoT) devices, which are growing more concerned with real-time data processing and analysis, has fueled the expansion of edge computing and cloud computing. In essence, each of these designs offers distinct approaches to data management and job processing, each with its own set of benefits and drawbacks. It has been observed that, in contrast to cloud computing architectures, which provide scalability over the long term, edge computing systems gradually reduce latency. Empirical research and a review of the literature showed that while Edge may be excellent at reducing latency, it has problems with long-term scalability. Cloud computing, on the other hand, is excellent at scaling and cutting costs, but it has issues with latency. In order to build effective systems that will satisfy all of the applications' significant requirements, it is advised to have a thorough understanding of these structural variations.
Keywords
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