A media hub that aims to be a resource center dedicated to Edge Computing and IoT and a space with a selection of Schneider Electric white papers related to Industrial IoT, energy management in process automation and prospects for ‘Edge Computing for Internet of Things projects.
Table of Contents
An Edge Computing design is, as a matter of fact (IDC gives the definition), an appropriated engineering of miniature server farms, each fit for putting away and handling information locally and communicating this information to a unified server farm or a distributed storage archive.
Brought together, server farms had since a long time ago made their detriments apparent – they are costly, energy-serious, not incredibly nimble.
These constraints have been cured as of late with the Cloud. Moving the jobs to the Cloud has made it conceivable to decrease server farm costs essentially. This is evident assuming you utilize the public Cloud and accordingly can get to practically limitless and accessible capacity assets and processing power. On-request. Not all applications, in any case, are versatile to the Cloud. There are specific circumstances that, going against the norm, emphasize the middle furthest reaches of frameworks of this sort.
One of the most significant is the difficulty of constantly laying out solid associations – fit for supporting, for instance, the persistent progressions of information from sensors and items associated in an IoT point of view. One more is that connected to dormancy, in this manner to the time expected to communicate an information parcel through the public organization that the Cloud utilizes.
IT has always been looking for models of efficiency and effective management of resources which, over time, has led it to various oscillations in the choice of centralized models (the era of the mainframe) and decentralized models (the client-server era.).
Then came the Cloud, which represents a vital enabler, but some applications where latency is a problem may not be suitable for working efficiently in Cloud environments. It is precisely here, in IoT projects and business contexts that require digital services and data available “where the application needs them”, that edge computing becomes the answer (as a model) and the Micro Data Center the tool (as technology).
How does the scenario of companies, third parties, developers and technology providers change with the development of the Internet of Things? All market players have to deal with a system that rapidly changes the overview of intelligence spread across the territory in terms of the number of sensors in businesses, cities and agriculture and the type of connection and sharing of intelligence. Centrally or, as in the case of Edge Computing, of decision-making intelligence which instead remains the “pertinence” of the territory. The realities of the project grow every day.
They can no longer affect only the efficiency of production but the development of new business models and, therefore, the organization of companies. The transition from the traditional model based on the sale and therefore on the possession of goods to a model that instead focuses on the offer of services based on the interests themselves is the most potent example of this transformation. The same energy management in industrial automation and, in particular, Industry 4.0 represents a vital lever at the level of economic control of processes and development of projects. Managing energy issues more efficiently is central to developing Smart Building projects and in Industry 4.0.
The presence of sensors on the territory, and the increasingly widespread intelligence in all environments, from companies to buildings, from agriculture to Smart Cities, has raised a theme of bandwidth-intensive consumption and, at the same time, latency and response times. Reactivity, as is evident, is an enabling factor for the development of processes that find the winning factor for the realization of new projects or the development of new business models precisely in the time necessary for the elaboration, evaluation and decision-making.
At the same time, thanks to the convergence of mobile telecommunication networks and data networks in cloud computing architectures, it is possible to develop solutions to address the current and future needs of IoT projects by leveraging computing power and storage space that can be transferred from the center to the edge of the network to reduce data transmission times and increase availability. We’re talking about Edge computing, where bandwidth-intensive content and sensitive applications get closer to the user or data source.
The development of the IoT is leading to a radical review of supplier management processes with particular attention to energy issues. Accenture found that 4% of large companies said they had eliminated suppliers who did not comply with their environmental policy. Another 39% said they would follow this example shortly. Attention to sustainable production is growing not only for compliance with regulations but also because it is now clear that corporate sustainability policies bring a competitive advantage. For this reason, it is important to keep issues related to energy management in the foreground in all industrial IoT-based projects.
The development of the Industrial IoT represents a natural platform for Industry 4.0. In particular, the new concept of Industrial IoT is the basis of intelligent business control, which leads to the development of machines and assets capable of automatically automating, managing predictive maintenance and developing forms of customization of the product itself for the creation of single pieces.
Collecting and analyzing data from more and more intelligent and cheaper sensors increases asset performance. Thanks to the development of the Industrial IoT, the possibility of integrating the intelligence present in automation processes and systems with the brilliance that is constantly spreading in the environments of companies, in the building and the field service management is approaching, opening a new organization from the point of view of facility management.
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