CYBELE: On the Convergence of HPC, Big Data Services, and AI Technologies

Sophia Karagiorgou, Aikaterini Papapostolou, Zeginis Dimitris, Yannis Georgiou, Eugene Frimpong, Ioannis Tsapelas, Spiros Mouzakitis, Konstantinos Tarabanis

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

1 Citation (Scopus)


Inefficiency in planting, harvesting, water use, meat consumption, as well as uncertainty about weather, pests, consumer demand, and other intangibles contribute to lower production, advanced costs, and greater need for products of higher quality and quantity. Precision agriculture (PA) and precision livestock farming (PLF) are introduced to assist in optimizing agricultural and livestock production while minimizing the wastes and costs. In this chapter, CYBELE is introduced, a platform aspiring to ensure that the stakeholders involved in the PA and PLF value chain (research and academia, SMEs, entrepreneurs, etc.) are granted unmediated access to a vast amount of very large-scale and distributed datasets. Additionally, by leveraging the convergence of big data, artificial intelligence, and high-performance computing infrastructures, CYBELE facilitates these stakeholders to generate value and extract insights out of the data through advanced data exploration, aggregation, processing, training, analysis, and visualization services.

Original languageEnglish
Title of host publicationHPC, Big Data, and AI Convergence Towards Exascale
Subtitle of host publicationChallenge and Vision
PublisherCRC Press
Number of pages14
ISBN (Electronic)9781000485110
ISBN (Print)9781032009841
Publication statusPublished - 2022
Publication typeA3 Book chapter

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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