GROVF4.0 | Feasibility study for Grovf hardware accelerated no SQL database for Industry 4.0

Summary
In the digital world, exabytes of data are collected by manufacturing, energy, telecom companies. The amount of data
generated in the past 8 years grew fifteen-fold while datacenters processing power increased only fourfold. According to
predictions of IBM, the number of devices that are connected to the internet will increase 7 times in 3 years and will reach up
to 50B in 2020. This reality will increase the gap between datacenters processing power and generated data. To solve IIoT
data storage and analytics problem companies replicate database servers, which results in complicated infrastructure,
increase cost, space, power consumption. A medium European manufacturing company with annual revenue of €50M will
spend €158k to implement such solution and €85k annually to support it. Grovf takes another architectural approach to solve
the problem and instead of processors, uses FPGAs as a processing unit. GData is growing faster than ever before and by
the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet .
According to a new report from IBM Marketing Cloud, “10 Key Marketing Trends For 2017,” 90% of the data in the world
today has been created in the last two years alorovf database server is a first of its kind, dedicated, out of the box, FPGAAccelerated
NoSQL database for IIoT sensors generated data. Our prototype already achieved 10x faster transactions and
31x power saving compared with state-of-the-art solutions. The main objectives of the product are:
1. Delivering new, disruptive technology for data management of the IIoT industry
2. Drastically reducing power consumption of the datacenters
3. Providing fast, low cost, reliable local cloud technology for the IIoT industry
4. Optimizing the current loading of the existing datacenters
5. Helping medium-sized manufacturing, energy, logistics, and telecommunications companies to drastically cut costs on IT
infrastructure and become more competitive.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/828125
Start date: 01-09-2018
End date: 28-02-2019
Total budget - Public funding: 71 429,00 Euro - 50 000,00 Euro
Cordis data

Original description

In the digital world, exabytes of data are collected by manufacturing, energy, telecom companies. The amount of data
generated in the past 8 years grew fifteen-fold while datacenters processing power increased only fourfold. According to
predictions of IBM, the number of devices that are connected to the internet will increase 7 times in 3 years and will reach up
to 50B in 2020. This reality will increase the gap between datacenters processing power and generated data. To solve IIoT
data storage and analytics problem companies replicate database servers, which results in complicated infrastructure,
increase cost, space, power consumption. A medium European manufacturing company with annual revenue of €50M will
spend €158k to implement such solution and €85k annually to support it. Grovf takes another architectural approach to solve
the problem and instead of processors, uses FPGAs as a processing unit. GData is growing faster than ever before and by
the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet .
According to a new report from IBM Marketing Cloud, “10 Key Marketing Trends For 2017,” 90% of the data in the world
today has been created in the last two years alorovf database server is a first of its kind, dedicated, out of the box, FPGAAccelerated
NoSQL database for IIoT sensors generated data. Our prototype already achieved 10x faster transactions and
31x power saving compared with state-of-the-art solutions. The main objectives of the product are:
1. Delivering new, disruptive technology for data management of the IIoT industry
2. Drastically reducing power consumption of the datacenters
3. Providing fast, low cost, reliable local cloud technology for the IIoT industry
4. Optimizing the current loading of the existing datacenters
5. Helping medium-sized manufacturing, energy, logistics, and telecommunications companies to drastically cut costs on IT
infrastructure and become more competitive.

Status

CLOSED

Call topic

EIC-SMEInst-2018-2020

Update Date

27-10-2022
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