Edge computing vs. cloud computing - All you need to know
Read on to find out everything about these cutting-edge technologies and their nuances.

Edge Computing Vs. Cloud Computing: All you need to know about the cutting- edge IoT technologies

Daily we generate, analyze, and transfer massive amounts of data, forcing the usage of cloud computing to expand quickly. Yet, as data transfer between endpoints and the cloud consumes energy and is impeded by latency, the cloud solutions may not be suited for every situation.

Edge computing seems to be the next big step after the emergence of the IoT, 5G, and the need for regionalized networks and computing power. With an industry expected to be worth $250.6 billion by 2024, edge computing is rapidly gaining ground. But, so is it cloud computing or edge computing? Let’s examine both nuances to find which fits best to your needs.

Edge Computing Vs. Cloud Computing
The notions

What is edge computing?

Edge computing philosophy brings computation, storage, and networking closer to users and data, significantly decreasing travel time and latency. Instead of constantly sending data back and forth, the operations occur near the device or at the network's edge, allowing for quicker reaction times. Overall, edge computing is a time-driven and case-specific technology.

What is cloud computing?

Cloud computing refers to the usage of distant or data servers to store, process, compute and analyze enormous quantities of data. It also refers to delivering many services through the Internet, such as data storage, servers, databases, networking, and software. Simply defined, cloud computing is the supply of computing services via the “the cloud” in order to provide faster innovation, more flexible resources, and economies of scale.

Edge Computing Vs. Cloud Computing: The appliances

Where can edge computing be used?

Medical monitoring equipment

Medical devices must reply in real-time rather than waiting for a response from a cloud server. To ensure data privacy and compliance, and on-premise edge on the hospital site may compile information from numerous sources within the hospital and extract pertinent information. Edge enables practitioners to get real-time notifications about patient trends or behaviors through analytics and AI.

AI cameras

AI Cameras are of the most demanding devices in IoT because of their large data volume, computation needs, and latency requirements. Large-scale video analytics is challenging, putting the capabilities of computer vision algorithms to the test. Therefore,  running on edge computing creates premium-tier devices that are quick, safe, and smart such as the AeyeQ’s AI cameras: Visionair, and Augur Spectr, which are the perfect solution since large volumes of data, computation needs, and latency requirements are a must on the edge.

Where can cloud computing be used?

Smart Lighting System

Systems that allow monitoring lighting in homes or businesses over the internet don't provide a lot of information. As smart light bulbs have limited processing capability, cloud computing is the perfect solution.

Smart Fitness

Gyms take up cloud computing in order to improve customer engagement and efficiency. With cloud computing, they can have a clear image of the equipment that is being used, on the customer’s preferences, on the overall scheduling and improvement of communications

Edge Computing Vs. Cloud Computing: The benefits


What are the pros of edge computing?

Cost

Edge computing capabilities enable rapid and cost-effective responses since computing, storage, and analytics are rapidly being integrated into smaller footprint devices that may be placed closer to end-users. Edge computing provides a far less expensive path to scalability, allowing businesses to increase processing capacity using a mix of IoT devices and edge data centers.

Performance

When a slowdown of milliseconds can lead to expensive implications, speed is absolutely essential. Edge computing is processing data closer to the source, thus reducing the distance that must be traveled. By reducing the latency, performance and speed are being increased, as well as the ability for quick decision making.

Reliability

With several edge computing devices and edge data centers network-connected in a holistic architecture, data can be redirected through several paths to ensure that consumers continue to have access to the goods and information they require.

Security

Edge computing reduces the amount of data actually at risk in a single moment. There are fewer data to be intercepted. If any device is compromised, the data that will be taken are the ones that have been collected locally. Even if an edge-computing architecture incorporates specialized edge data centers, these often provide additional security measures.

What are the benefits of cloud computing?

Cost

Growing data collecting and analysis no longer necessitate the establishment of costly, centralized data centers. Cloud computing reduces the capital expenditure of purchasing hardware, software and establishing and operating on-site data centers. As a result, the technology of cloud computing is preferred by large corporations so they can add resources from anywhere in the world in a cost-effective way.

Performance

The most extensive cloud computing services are delivered through a global network of secure data centers that are continuously upgraded to the most recent generation of fast and efficient computer gear. Cloud computing services are self-service and on-demand; even massive quantities of computing resources may be deployed in minutes, offering much flexibility and relieving capacity planning strain.

Reliability

Cloud is known for efficient and safe data storage. Cloud providers enable data backup, disaster recovery, and business continuity and ensure the protection of the data through security and maintenance controls of the servers.

Security

Traditional cloud computing architecture is essentially centralized, it is particularly vulnerable to distributed denial of service (DDoS) assaults and power outages. So cloud providers have a comprehensive set of policies, technologies, and controls that improve your entire security posture, assisting in the protection of your data, apps, and infrastructure from possible attacks.

Edge Computing Vs. Cloud Computing: 

The wrap-up

In this write-up, cloud computing and edge computing are two distinct technologies, with their main difference being data processing. Edge computing operates on a time-driven mechanism, whereas cloud computing assists in the processing of data that is not time-driven. 

The benefits of cloud computing are apparent and widely known. However, bringing bandwidth-intensive data and latency-sensitive applications closer to the end-user and shifting operations from a central location to the edge is critical for some applications. In addition, edge computing's scalability makes it a perfect choice for fast-growing, agile businesses. As a result, edge computing is the next big thing, reshaping IT and business computing.

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