As more and more data come to life, the storage and processing of it can overwhelm systems. Here is where Edge computing comes in, which is experiencing a comeback and growth in usage. The popularity of cloud servers has made on-prem set-ups take a back seat.
Cloud computing is convenient and has its own merits. For years, cloud servers became the primary data storage solution for reasons such as scalability and accessibility. You can access these servers anywhere in the world. Such also paved the way for work-from-home and remote work employees. This has been an excellent option for businesses that want to grow with little to no investment in physical resources. The downside of cloud servers is it can be challenging to customize them based on company needs. There is also the risk of compromising privacy and security.
Edge computing is data processing that can be done at the edge of a network, close to where data is generated, instead of in a centralized location. It enables more responsive and speedier decision-making while also increasing privacy and security. Data can be processed directly instead of relying on the cloud to process information and wait for it to return.
CONVENIENCES AND DRAWBACKS OF EDGE COMPUTING
Edge computing can be your solution for the vast amounts of data generated in communities and networks within proximity. The surge of unstructured data from the Internet of Things (IoT) devices has catapulted the need once more. Processing unstructured data requires better latency and less bandwidth. According to Gartner, 75% of enterprise-generated data will be created and processed via edge computing by 2025. The use comes with its drawbacks and conveniences.
Drawbacks can include the appropriate planning in managing and maintaining the systems. The assets needed may be located in different areas with different specifications and tech requirements. Training staff to oversee the systems can also incur the cost. Lastly, the need for redundancy in system devices and equipment is present.
The convenience includes:
- Faster response time.
- More reliability even with intermittent connectivity issues.
- More security and data protection.
- More cost-effectiveness.
- Continued use of legacy devices and applications.
Data travels shorter routes because networks are closer. Even when the connection temporarily stops, you can still count on network service continuing.
Since data also does not need to be processed in the cloud, you can filter what data you upload. It can also be more cost-effective as prices of devices have significantly dropped, and businesses can easily limit their use. With it, you can still integrate previous devices and applications with modern ones maximizing their cost and easing the transition for users and the business.
TRENDS TO EXPECT WITH EDGE COMPUTING IN 2023
1. From 5G to 6G
Edge computing is known to have led the further development of networks into 5G. The transition to 5G requires expanding public network providers to accommodate a rise in general-purpose computing. These networks will work in regional data centers, central offices, and hub micro data centers.
While the commercial popularity and use of 5G are spreading, 6G technology has also been emerging through edge computing. Sixth-generation wireless communication network, or 6G, aims to meet the requirements of robotics and autonomous vehicles, transportation management systems, and healthcare, as well as telepresence, virtual reality (VR), augmented reality (AR), and mixed reality (MR) applications. Through It, these processes can become smoother and more applicable.
2. Artificial Intelligence: Machine and Deep Learning
Mckinsey reports that fifty-two percent of organizations globally surveyed have reported spending more than five (5%) of their budget for AI. Processing and storing data at the edge of a network rather than in a central location gives edge computing its name. This type of computing is used to enable real-time decision-making and analytics, which is helpful for artificial intelligence (AI). AI benefits from processing much data as frequently as possible.
You can learn to feed data in edge computing networks and systems as more and more algorithms are generated faster. This can help businesses that rely on them understand their consumers and the competition.
3. Smart Devices and Cities
Using edge computing in smart devices and cities can quicken processes and response times. It will help monitor traffic patterns in real time so that emergency services can respond quickly to an accident or natural disaster. Your smart devices can coordinate easily with each other in your smart home as the network routes are shorter. As an extension of AI, smart devices’ widespread use and function can help you with your day-to-day chores and responsibilities.
4. Mobile Gaming Industry
Rather than depending on the cloud and waiting, edge computing allows your mobile devices to use less processing power. This can make the gaming experience more enjoyable and consume less energy. Gamers can enjoy the gaming experience without overspending on devices that require much data processing and transfer from the cloud.
5. Virtual Reality, Augmented Reality, and Mixed Reality
Virtual reality, Augmented Reality, and Mixed Reality can benefit from edge computing. As data processing will have better latency and quicker response times, these will be widely used in businesses and enterprises. The medical and health industry can benefit from remote doctors or surgeons conducting medical examinations and operations remotely. Business operations done remotely with a higher need for visual imageries will benefit from smoother data processing through edge computing.
6. Autonomous Devices
Vehicle to Everything functions has been made more things possible with edge computing. In the report from Forbes, previous technology could have been more efficient as fewer edge computing devices have been established. With a more sophisticated edge computing infrastructure, you can trust that communication between networks and vehicles is more secure and optimized.
7. Agriculture Technology
Food insecurity and global undernourishment are significant challenges for the agriculture industry. Through edge computing, you can alleviate some of the constraints of agricultural technology on a worldwide scale. Farm automation, disaster protection, and agri-robots are some technologies you can power through edge computing.
Expanding Your Knowledge of Edge Computing as a Candidate Advantage
Learning more about the trends and developments in edge computing can help prepare you for a tech career or be an arsenal in your existing tech knowledge. The growth in these systems will open employment opportunities for managing and securing these networks for user efficiency and strength. From edge computing to cloud computing, even their hybrid creates systems that push the evolution of the human ability to produce and process information.
You can apply edge computing to many industries, such as healthcare, logistics, smart cities, manufacturing, and retail. Consider learning more about edge computing and opportunities your qualifications and background that could match. We can discuss what career opportunities with edge computing best match your portfolio. If you still need help learning more about these, our team of expert human resource staff can provide you with more information and career advice. We are here to build a career partnership with you! Reach out to us today!
Edge computing is known to have lead the further development of networks from into 5G. While the commercial popularity and use of 5G is spreading, the beginnings of 6G are being deployed. Edge computing plays crucial roles in both 5G and 6G networks. The former uses
