Until 2020, the “Internet of Things (IoT)”, which goes from the car to the production plants, is expected to cover some 50 billion devices. All of these devices continuously generate a large amount of data that must be stored and analyzed in real time for critical applications. However, this task exceeds the conventional capabilities of the cloud.
Obstacles to this growth are, above all, the slow expansion of broadband and the waiting times in the transmission of data between the central servers of the cloud and the terminal devices at the edge of the network. Enhanced Edge-computing avoids both problems and thus initiates a paradigm shift in the era of cloud computing.
What is Edge Computing?
It optimizes the use of electronic devices that can connect to the Internet. It seeks to bring computing closer to the source of the data collected. Therefore, the processing is carried out as close as possible to the location of the user or the data source. Seattle App Developers like Zazz are providing huge benefits by using this top-notch secure technology.
- On the Internet of Things, data collection is done through devices and then the stored data is sent to a cloud or processing center.
- Rather than bringing everything to these hubs or to the cloud, enhanced edge computing based on edge “classifies” this data locally. It separates what can be processed on-site, thereby reducing data traffic and the need to send it.
- At the ends of a network, the data is processed, and only a portion is sent to the central directories.
With the correct strategy and an efficient development company, your organization or startup can break the traditional limitations of Cloud-based networks.
Basics of Enhanced Edge Computing
It is considered a new architectural concept for IoT environments, even without providing any new network components on its own. Instead, already known technologies are structured more compactly under a new name. Now as we have understood what is edge computing? Let’s summarize the most important basic concepts.
An edge device can be any device that generates data at the edge of the network. The data sources can be sensors, machines, vehicles or smart devices in an IoT environment, such as washing machines, fire alarms, light bulbs or thermostats.
In computer jargon, the edge is the edge of the network. The network components that belong to that edge, vary depending on the situation. In telecommunication networks, for example, a mobile phone will be part of the network edge, while in a system of interconnected autonomous vehicles each of the cars will be. In such cases we talk about edge devices. Hire IoT Developer having knowledge of such key specifications and valid experience.
An edge gateway is a computer that functions as an intersection between two networks. In IoT environments, edge gateways are used as points of presence between the internet of things and the core network. This network is made up of routers with enough processing power to manage the IoT data.
Edge vs. Fog Computing
The idea of expanding the cloud with local computers is not new. Already in 2014, the App Developers in USA Cisco coined the business term “fog computing “. It is a concept that advocates decentralized pre-processing of data on devices called fog nodes. Fog nodes are local mini-computers located before reaching the cloud. So that they create an intermediate level in the network (called the fog layer) .Thus, the data generated in IoT environments does not go directly to the cloud, but is first grouped into fog nodes. Here they are evaluated and selected for the following stages of processing.
Today, it is considered a branch of fog computing in which computing resources bring IoT end devices closer to the edge of the network. While in the fog computing architecture, data processing initially occurs in the fog layer. In enhanced edge computing approaches, it happens already on powerful IoT routers or even directly on the device or sensor. This leads to imagine a combination of both concepts.
Advantages of Edge-Computing for Companies
1. Real-time Data Processing:
In edge architectures, the processing units move closer to the data source, thus allowing real-time communication. This avoids the latency problem of traditional cloud services.
2. Lower Data Transfer Performance:
It primarily provides for local data processing at edge gateways. Only data is uploaded to the cloud that cannot be processed locally or must be available online.
3. Data Protection:
Most of the data does not leave the local network. This makes regulatory compliance much easier for companies. Hire Best app developer to explore this benefit to full extent.
Areas of Application for Edge-Computing Architectures
Its applications typically emerge from the IoT environment and are, like the concept of a decentralized cloud architecture. An important growth stimulus for this technology is the growing demand for communication systems that can operate in real time. If you ask us what is edge computing for my business? Decentralized data management is considered a key technology for the following projects:
- Communication between car-to-car vehicles
- Smart power grids
- Smart factories
- Smart Homes
- Marketing and Sales
- Businesses that need high security
Want To Explore It? Try Zazz!
Zazz is the leading provider of quality and cost-effective computing services. We are considered as the top company having expertise in data science, cloud computing, and cloud of things. Zazz can deliver exceptional results by using multi-access computing. If you are still not sure whether to go for this new trend or stick with cloud, contact us without an obligation!