Cloud and Edge Computing

Cloud computing refers to the use of various services such as software development platforms, storage, servers, and other software through internet connectivity. Cloud computing services can be deployed in terms of business models, which can differ depending on specific requirements such as PaaS, SaaS, and IaaS. Likewise, deployment models also depend on requirements such as community cloud, private cloud, public cloud, and hybrid cloud. The accelerated migration to cloud infrastructure addresses the growing demand for businesses while rationalizing the cost of operations.

The term “Edge computing” refers to computing as a distributed paradigm. It brings data storage and compute power closer to the device or data source where it’s most needed. Information is not processed on the cloud filtered through distant data centers; instead, the cloud comes to you. This distribution eliminates lag-time and saves bandwidth. The examples of edge computing are an autonomous vehicle, streaming services, and smart homes (IoT). In the Mobile communication world, Multi (Mobile) access Edge Computing (MEC) offers application developers and content providers cloud-computing capabilities and an IT service environment at the edge of the mobile network. With MEC, application developers can now leverage real-time access to radio network information to develop smarter and innovative applications for mobile subscribers, enterprises, and vertical segments.

Cloud computing vs. Edge computing, not an either-or debate, nor are they, direct competitors. Instead, they provide more computing options for your organization’s needs as a tandem. To implement this type of hybrid solution, identifying those needs, and comparing them against costs should be the first step in assessing what would work best.

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