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The world-wide demand for data processing is increasing year-on-year, with data processing applications requiring ever increasing performance from data processing devices and services. Industries, such as Artificial Intelligence (AI), video rendering, powering blockchain computations, scientific simulations and research, financial modeling and analysis, weather analysis, medical imaging and healthcare and autonomous vehicles are all increasing their demands to collect, store, analyze, manipulate and extract data, delivering real-time results.
There is a need to make sense of the vast amounts of data being generated through the increasing use of data-driven technologies and services. The higher the performance of a device combined with the greater the number of devices undertaking the task, the quicker the result or outcome is provided. As real-time systems demand immediate results, the performance of data processing becomes critical to the delivery of the service.
Centralized data centers have previously been supported by many countries, including Iceland and China, to provide data processing services. However, as demand for data processing grows, centralized data processing centers are having difficulty coping with the demand. Centralized operations consume significant amounts of energy both in terms of service delivery (data processing) and service support (e.g., air conditioning to cool the infrastructure). Energy distribution infrastructure is not supportive of increasing localized demand, impacting commercial and residential supply. In addition, centralized service centers are having difficulty with physical expansion, both in terms of available land and space and impact on energy distribution infrastructure.
With the global increase in energy prices combined with the problems associated with centralized data centers taking energy from the local distribution ecosystem and the need for growth to support the increasing demand for data processing power, organizations are looking for alternative approaches to delivering data processing services.
Spreading Energy Consumption with Decentralized, Cloud Based Data Processing Networks
Global, decentralized data processing is the way forward. Creating a decentralized, global data processing network, interconnected through cloud technology is one approach to solving the centralized data processing problem.
Firstly, the cloud offers scalability and flexibility. Cloud-based data…
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