Mobile Solutions For “IOT” Giving New Life To Edge Computing
Do you know, by the time you’ll will finish reading this article, more than 3,800 new devices will get connected to the hub of data, we love to call the internet?
From the high-tech cars to watches, meters, light bulbs, and now the data-center infrastructure of the established B2B players; day-by-day the concept of ‘IOT’ or Internet of Things is swiftly integrating into every silo of technology and even the vast segment of computing couldn’t pull itself away.
Earlier, the adepts use to follow a centralized approach in the context of computing and networks, but the evolving landscape of workflow pushed the network control from the center to the edge of the network, which marked the dawn of edge computing. The need to shift the computational power as near as possible to the user further brought along a series of mobile solutions for “IOT”, which instilled a new life in the existing concept.
Want to know why the mobile solutions for “Internet of Things” are increasing the possibilities for edge computing, and what are the challenges that lie ahead? Well, there you go..
Mobile Solutions for the “Internet Of Things” Are Boosting the Prospects for Edge Computing
- Low Latency and Cost of Transmission
Mobile solutions for IOT will surely give the required kick to the prevailing trends of edge computing. The concept pushes the computing to the edges of a network so the devices could communicate and perform analytics themselves, closer to the logical endpoints of the network, instead of reaching back to the source. Bringing computing power close to the users and closer to the endpoints will further reduce the data volume, which will hand ultra-low latency along with reduced cost of transmission and high bandwidth.
- Real Time Access to Radio Networks at the Edge
The mobile edge computing (MEC) offers the attributes of both the IT and cloud computing within RAN (Radio Access Network) at the edge of a cellular network. The system allows sharing of data and services, along with upholding the client’s experience across different network conditions and radio. MEC will give real-time network details like place and cell load, which could be further used to return related mobile edge computing services to the interested cellular customers.
“Given a chance and required focus, the concept of mobile edge computing will give a life to the idea of offering more data at the outlay of least pounds/month in coming few years.”
Challenges in the way of MEC
- Limited Resources
Bootstrapping the mobile edge environment has a list of challenges in the way, but the first and foremost obstacle that I could see will be “the lack of computing and storage resources”. As the services will approach, there is a strong probability that the contemporary resources will turn out to be heavy for mobile, and only fulfill the computation and storage necessities of the applications with limited requirements. Hence, the service providers will have to seek for new ways or platforms as the ideas will take shape.
- Industrial Deadlock
The deadlock that the industry is currently facing could prove to be a challenge for mobile edge computing. Where at one place the industrialists are waiting for the further MEC deployments before devoting capital in the concept, the developers are looking for the investments from the industry that could support the edge computing.
- Low Security
With the prevalence of the highly heterogeneous hardware and software platforms, the other major issue that the technology is likely to come across is the lower physical security of the data. The limited control of network operator over the applications will have a significant impact on the security, though looking for the ways that could minimize the impacts will remain to be the goal.
To conclude, the path doesn’t seem all green for the mobile edge computing, but the emerging IOT solutions holds the potential to return a system of edge computing, which will be closer to cellular customer and offer pervasive low latency, higher bandwidth, and real-time insight into the RAN information at the edges of a mobile network.
Predictions say that in coming one or two years, the mobile edge computing systems will gain traction and head to become mainstream, but that will require today’s long-term investments and risk-taking by the big industrialists.
If the progression heads as projected, the entrepreneurs and employers will be able to leverage their business indomitably by using mobile apps for edge computing soon.