Specific data-intensive, real-time business functions characteristic of the IoT require an architecture and platforms to perform data analysis and functionality close to the sensors, reducing the need for communication between the devices and the cloud or data centres.
Edge computing pushes computing power, business logic, analytics and even machine learning capabilities to the edge of the networks, so that sensors, devices and data gateways can perform business functions themselves, or communicate with each other without the intervention of centralised applications.
Currently, around 10% of enterprise-generated data is created and processed outside a traditional, centralised data centre or cloud. Gartner predicts this figure will reach 50% by 2022 (October 2017).
Industrial IoT applications and complex business functionalities are quickly spreading and fostering the diffusion of reliable, centrally managed, edge computing architectures.
IoT platforms can be designed to easily govern and manage the distribution of Edge computing resources, while devices and data gateways can be designed, selected and engineered in order to provide the requested computational power, storage capacity and communication capabilities.
Sense Reply designs and implements edge computing solutions thanks to its experience in dealing with embedded software, data gateways, software architecture and in leveraging AWS components. Sense Reply has designed and delivered Edge computing data gateway software for major global Energy companies to enable new, IoT-based capabilities for
Energy Management, Asset Management and Generation Management, etc.
Enabling Edge computing also requires the ability to integrate IoT platforms with local SCADA (i.e. Manufacturing Management Systems, Building Management Systems, etc.), to deal with and translate the communication protocols commonly used in automation (i.e. ModBus) and, in most of the cases, to physically connect sensors, devices and data gateways to make them collect parameters from, and interact with, appliances.
The forthcoming 5G network availability, with a data rate exceeding 50 Mbps, will also provide the unparalleled communication capability required to unleash the full potential of Edge Computing for a wide variety of new technologies: real-time device and asset monitoring/management, real time immersive AR/VR environments, ubiquitous Artificial Intelligence, etc.
Sense Reply collaborates with installation, commissioning and maintenance companies which can support companies in the deployment of any IoT components to the Edge.
Sense Reply assists its clients in defining the IoT platform architecture, the Edge Computing architecture, the data lake and the machine learning/deep learning components, leveraging AWS PaaS solutions such as Greengrass and Orchestra and other ancillary technologies, to define, develop, train, deploy and centrally manage the Edge Computing capabilities with the aim of enabling new, advanced analytics in the future technology landscape.
Sense Reply has already defined a reference set of technologies for edge gateways and embedded computing and can support its clients in selecting the appropriate hardware communication, computational and storage capabilities according to current and future edge computing scenarios specific for your business processes and in scouting the market to pick the best performing HW solution specific for your own requirements.
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