The leading knowledge exchange for Data Center, IT and Mission Critical professionals.
By Darren Sadana
Current prediction models show 163 zettabytes of data being created annually by 2025, with 95 percent of that volume being contributed by IoT devices. Transferring, storing, accessing, and analyzing all that data is no longer workable exclusively in the cloud. This is
apparent when viewing it from a cost, bandwidth, and latency perspective where real-time use will be the norm across sectors. The resulting data management challenge has been a direct contributor to the adoption of edge computing.
IoT devices typically send data to a central cloud server for actionable analysis. This creates significant bottlenecks where many decisions from data require real-time action. Edge computing puts storage, compute, and network resources close to the device. That’s why use of both edge and micro data centers located close to the source of sensor data can process data faster while resolving IoT connectivity issues.
Edge computing plays a vital role in reducing bandwidth needs while improving performance connection, reliability, and data management for real-time actions from data analysis. This is crucial for:
Over 50 percent of enterprise generated data will be created and processed outside the data center or cloud by 2022. This illuminates the growing need for data management and control at the edge.
The Importance of Edge Computing, Management, and Control
While edge computing opens a plethora of opportunities, it also poses management, provisioning, and control challenges. Diverting a significant percentage of transferred data away from a centralized cloud data center will reduce storage and wireless costs around bandwidth while resolving many latency issues. But the cloud will still play a critical role in management and control on the edge where companies will still need to further reduce wireless costs. This is critical to ensuring global connectivity for all of their IoT, M2M, NB-IoT, Data, SMS and Voice Plans.
Provisioning and onboarding sensors across different industries will be a major challenge for many businesses in sectors like automotive, where 90 percent of all new cars are expected to be connected to the internet this year. Industry 4.0 is largely driven by the industrial Internet of Things (IIoT) and edge computing where real-time provisioning, control, and management in edge cloud and micro data centers are vital to production visibility. The successful convergence on a nexus point of edge computing, IoT, and 5G largely depend on how businesses
manage and control data in motion and at rest.
The Nexus Point of Edge Computing, IoT and 5G
Speed and bandwidth capacity will still be issues at the network edge as sensor data is transmitted from devices to virtual servers located within edge data centers and control data travels back to sensors. The result is efficient, reliable, and fast wireless connectivity that makes the foundational promise of IoT transport speed and bandwidth capabilities achievable. This all makes management of wireless connectivity and management at the edge even more critical where visibility and control can unleash the potential of IoT, edge computing and 5G. The advent of management control provides insights on usage, trends, overage charges and alerts to keep costs down. By gaining access to a fully realized IoT, 5G, and edge computing data management nexus point, businesses can:
Having the right IoT wireless connectivity and IoT data management solution is critical to every business’s ability to maximize the potential of IoT, 5G, and edge computing. This is true
across nearly every sector in the global industrial IoT market that includes IT and telecommunication, manufacturing, healthcare, retail, oil and gas, energy and power, automotive, and others.
Data Management from the Network to Beyond the Edge
Device management is an ongoing concern with the development and evolution of an IoT architecture where data analysis drives business applications in real time. The process and time to onboard new IoT devices and navigate standards and protocols along with scalability will make data and device management crucial.
Estimates show that IoT could have an annual economic impact of as much as $11.1 trillion encompassing all sectors. As businesses move beyond proof of concept into full scale IoT eployments, they will need consistent and reliable network coverage and data management solutions. This requiresthe ability to manage IoT infrastructures that encompass device level edge computing control across wireless networks. The goal is to have the control that drives options for innovative business opportunities that lead to long-term business growth and stability.
Darren Sadana is CEO for Choice IoT. He can be reached at darren@choiceiot.com.
Read Other Articles
(You Must Be Logged In to Continue…)
