edge computing is an extension of which technology brainly

Introduction;

EDGE Computing is an Extension of Which Technology Brainly

A new technology called edge computing has appeared and this is said to be the extension of what technology? Brainly will provide you with detailed answers as well as similarities and differences between edge computing and other related technologies. Let’s begin with the introduction of these two technologies! Edge Computing, also known as Fog Computing or Cloudlet Computing, is an extension of cloud computing that adds a level of intelligence to data processing close to the information source by bringing the data closer to the end user.

What is Edge Computing?

Edge computing, or Edge Computing, is a term referring to the process of doing data processing at the edge of the network. This means that data are processed at or near the source (or edge) as opposed to being sent back and forth over long distances. The goal of edge computing is for devices to interact with each other when needed, providing more efficient systems that require less bandwidth. The National Institute of Standards and Technology (NIST) defines it as data processing and analysis carried out near where the information resides. It’s also often referred to as fog computing or fog networking. Fog computing also can be intelligent and make decisions on how it processes data based on environmental factors like humidity levels, temperature, wind speeds, etc.

The Benefits of Edge Computing;

Determine the content, quality, and type of data being collected.
Identify the appropriate edge location for the data.
Determine what type of network connection to use (e.g., optical fiber or wireless).
Configure your network infrastructure to ensure redundancy at each node.
Choose a configuration that meets performance requirements while minimizing cost and complexity. After selecting the best-fit design, set up your security to protect against unauthorized access. You’ll need authentication mechanisms in place to prevent unauthorized users from accessing and manipulating systems or networks. You’ll also need authorization mechanisms in place with defined rules specifying who can access the system or network resources. Finally, you’ll want monitoring tools in place to maintain system availability, correct malfunctions and outages as soon as they occur, minimize service disruptions when possible, and investigate root causes after outages occur.

How Edge Computing Works;

Edge Computing refers to a type of cloud computing that relies on the processing power and data storage capabilities at the edge of a network rather than in centralized data centers. The term was coined by Cisco Systems, Inc. in 2014. According to Gartner Research, by 2020, more than 50% of all processed data will be processed near or at the edge.
Edge Computing has grown in popularity as it is a better alternative to centralized cloud servers due to its ability to provide more responsive service, more reliable service, and lower latency than traditional cloud servers. Edge Computing also offers lower costs because companies don’t have to pay for expensive hardware and can use commodity hardware instead. Additionally, since data doesn’t need to travel long distances, less energy is needed. Another advantage of Edge Computing is security-related benefits: the closer a device is to data sources such as video cameras and sensors, the easier it becomes for software to identify patterns that might signal malicious activity before damage occurs. In addition to providing greater security from hackers, Cloud Security-as-a-Service (SaaS) providers are increasingly looking towards implementing edge computing as a way of making their customer’s networks secure from the inside out.

Use Cases for Edge Computing;

Edge computing can be used in a wide variety of scenarios, including industrial IoT, connected vehicles, surveillance, and more. Edge computing is the processing of data at or near the source; for example, it might analyze images taken by sensors on a factory floor. This allows data to be analyzed without being sent over a network, which reduces latency and improves performance while also conserving bandwidth.
Edge computing is available to organizations through public cloud infrastructure providers as well as private clouds. For example, Microsoft offers Azure IoT Edge to help organizations process data locally before sending it over the wire. Google has its Cloud IoT Core service that offers similar functionality for managing devices connected to its public cloud infrastructure.

The Future of Edge Computing;

In the world of computing, there are two main schools of thought: centralized and decentralized. Centralized computing assumes that all processing tasks occur on a single computer, while decentralized computing splits up the load across many computers. Edge Computing combines these two concepts by placing as much processing as possible at the edges of a network. This has huge implications for everything from data management to cyber-security.

Conclusion;

Edge computing is the process by which data and computations are processed close to where they are generated. Edge computing has many advantages over traditional centralized data processing, as it can lower latency and reduce network congestion. One form of edge-putting is fog computing, which involves the use of a network between devices and the central servers that connect them. Fog networks help to eliminate high-latency connections and increase bandwidths by sending information through a series of devices instead of just one server.
Edge Computing Versus Fog Computing