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In recent years, facing information explosion, industry and academia have adopted distributed file system and MapReduce programming model to address new challenges the big data has brought.
This paper adopted distributed cognition theories to analyze the underlying implications of such failures because these theories have the power to examine the relationship between human operators and artifacts in a system.
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To meet the challenge, there is an increasing number of enterprises adopting distributed storage systems.
It is a large scale helium cryoplant, which adopts distributed control system to realize monitoring and control of the cryogenic process and devices.
In the face of unprecedented challenges of upcoming fossil fuel shortage and reliability and security of the grid, there is an increasing interest in adopting distributed, renewable, energy resources, such as microgrids (MGs), and engaging flexible electric loads in power system operations to potentially drive a paradigm shift in energy production and consumption patterns.
The global blockchain market is anticipated to grow to over $60 billion by 2024 as more companies adopt distributed ledger technology and mass-use cases appear.
Regulatory compliance combined with enhanced security and speed could signal a big win for financial industries seeking to adopt distributed ledger technology.
Now much of Kenya is quickly adopting distributed, flexible, resilient solar power, largely because their monolithic, sclerotic, vulnerable grid doesn't reach much of the country.
Clearly, this redundancy can be reduced by adopting distributed quantizers designed to maximize the localization accuracy by exploiting the correlation between the sensor readings (see [7, 8]).
In a carefully-crafted 1,000 word press release, the Australian Securities Exchange (ASX) on Thursday announced its intention to become the first global stock exchange to adopt distributed ledger (DL) technology — aka the blockchain.
Moving toward edge intelligence simply means adopting distributed architecture for modern AI systems, wherein edge devices have the intelligence to not only collect and analyze the data that they send to the cloud, but also make crucial time-sensitive decisions.
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