To improve efficiency and performance, many data operators are turning to a solution ignored for years within the data community – time. Within Big Data, time has historically been considered to be either too unreliable to be useful or too expensive to implemented. However, with the rise in popularity of new models such as NoSQL and eventually consistent databases, time is emerging as a powerful tool for data operators to use in the battle against the rising tides of data.
Time for efficiency and performance
Data operators are finding that by using accurate timestamps from hardware based clocks, they are able to improve performance and efficiency by reducing things like data conflicts. A good example is distributed systems which use an eventual consistency approach. This is a popular method of distributing data over replica, where if no updates were to be made, eventually all of the replica would have the same data. While this method often provides greater performance and availability, it sacrifices consistency. And as data grows and becomes more distributed, data conflicts are inevitable.
White Rabbit is a collaborative project including CERN (the European Organization for Nuclear Research), GSI Helmholtz Centre for Heavy Ion Research and other partners from universities and industry to develop a fully deterministic Ethernet-based network for general purpose data transfer and sub-nanosecond accuracy time transfer.
For decades, Orolia has been providing timing solutions to operators of mission critical Data Centers. Our customers rely upon our technology across industries like Financial Services, Telecom, Retail, Process Control, Military / Aerospace, Public Safety, and others where downtime is not an option.
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