To assist. Not replace.
From the network edge via the data centre, to the cloud, and back!
Edge computing is a powerful tool in making greater use of computing power and big data across a dispersed network. In situations where devices or sites are remote, and have limited connectivity to the core enterprise architecture or the Cloud, computing power – and the effectiveness of AI – can be significantly diminished.
By placing the computing power closer to these remote sources of data – which may be mobile devices, computer equipped vehicles or any number of IoT devices, organisations are able to process the data they collect and produce more rapidly, and without the need for an always-on connection.
Powering AI is normally run through streams of CPUs, powered out of large data centres and consuming large volumes of power and storage. Quantum engines work in both centralised and distributed environments so that the computing power can be made available where required, while sensitive information can be managed by the user and retained at local level where appropriate.
From a security benefit, there are many benefits to this approach, not least the fact that control over users’ data and organisational data can be separated. Users’ own information, such as the devices they operate from, their geographic location etc. can be managed locally, while also having the ability to access corporate files and systems.
Locally managing this access and ensuring the user has control of their devices in a decentralised architecture also allows Quantum’s Device Management Application to be stored and managed locally, distributed across user’s devices. This provides security and access controls over the computing of local information at the network edge.
At Quantum, we see the power of having both, securing and managing both. The future with edge will be computing at warp speed through Quantum processing, however today we distribute the power considerations through edge and centralisation to assist with power usage, speed and security.
I&O leaders must incorporate edge computing into their cloud computing plans as a foundation for new application types over the long term.
– Bob Gill, Gartner, 2021 Strategic Roadmap for Edge Computing
Edge computing’s most significant benefit is its ability to increase network performance by reducing latency. Less lag, fewer outages, more power.
Edge often provides additional security measures to guard against cyber threats, but add layers of AI, and you can heighten your security significantly.
By combining colocation services with regional edge computing datacentres, organizations can expand their edge network reach quickly and cost-effectively.