From Big Data to Massive Data : Towards a Massive Data Storage Solution for the Internet of Senses

Fayoumi, Amjad and Orachorn, Chanapat and Shi, Xiao (2024) From Big Data to Massive Data : Towards a Massive Data Storage Solution for the Internet of Senses. In: The 7th International Conference on Big Data and Artificial Intelligence : (BDAI 2024). IEEE. (In Press)

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Text (Fayoumi et al_From Big Data to Massive Data Towards a Massive Data Storage Solution for the Internet of Senses-FV) - Accepted Version
Restricted to Repository staff only until 1 January 2040.
Available under License Creative Commons Attribution.

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Fayoumi_et_al_From_Big_Data_to_Massive_Data_Towards_a_Massive_Data_Storage_Solution_for_the_Internet_of_Senses-FV.pdf - Accepted Version
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Abstract

The increased maturity of current digitalization techniques expands the scope of practical deployments in various fields, including the precipitation of “digital biology” as a novel and highly important new field of research. This research area specializes in the convergence of various digital technologies and investigations into biology, offering the possibility to produce new comprehension of and applications for living systems by leveraging frameworks of digital technology. The enhanced scope of current capacities in computation facilitates simulated models of multifaceted biological artefacts and novel ways to gather, analyze, and interpret data, moving far beyond the primitive scope of legacy solutions in this field. This paper explores potential “massive data” databases, developing a conceptual model to move beyond the existing “big data” paradigm.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure
Subjects:
?? sdg 9 - industry, innovation, and infrastructuresdg 12 - responsible consumption and production ??
ID Code:
221300
Deposited By:
Deposited On:
13 Jun 2024 09:50
Refereed?:
Yes
Published?:
In Press
Last Modified:
16 Jul 2024 05:29