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