Edge Computing

Introduction The rapid growth of IoT devices, increasing data volumes, and the need for real-time processing have led to the emergence of edge computing. Edge computing deployment models have evolved significantly over the years, transforming the way data is processed, stored, and analyzed. In this blog post, we will delve into the development history of edge computing deployment models, highlighting key milestones, trends, and statistics. The Dawn of Edge Computing (2010-2014) The concept of edge computing was first introduced in the early 2010s. During this period, the focus was on reducing latency and improving real-time processing capabilities. The first edge computing deployment models were mainly used in industrial automation, smart grids, and transportation systems. According to a report by Gartner, the edge computing market was valued at $1.3 billion in 2014, with a growth rate of 30% per annum. ...

Mastering Edge Computing Latency: A Comprehensive Learning Path As the world becomes increasingly dependent on real-time data processing and analysis, the need to minimize latency has become a top priority. Edge computing, which involves processing data closer to the source, has emerged as a key solution to this problem. However, reducing edge computing latency requires a deep understanding of the underlying technologies and strategies. In this article, we will embark on a comprehensive learning path to master edge computing latency. ...