Big Data Analytics from the Rich Cloud to the Frugal Edge

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dc.contributor.authorM. Awaysheh, Feras
dc.contributor.authorTommasini, Riccardo
dc.contributor.authorAwad, Ahmed
dc.date.accessioned2025-05-07T10:35:36Z
dc.date.available2025-05-07T10:35:36Z
dc.date.issued2023
dc.description.abstract—Modern systems and applications generate and con sume an enormous amount of data from different sources, including mobile edge computing and IoT systems. Our ability to locate and analyze these massive amounts of data will shape the future, building next-generation Big Data Analytics (BDA) and artificial intelligence systems in critical domains. Traditionally, big data materialize in a centralized repository (e.g., the cloud) for running sophisticated analytics using decent computation. Nevertheless, many modern applications and critical domains require low-latency data analysis with the right decision at the right time standard for building trust. With the advent of edge computing, that traditional deployment model shifted closer to the data sources at the network’s edge. Such a shift was motivated by minimized latency, increased uptime, and enhanced efficiencies. This paper studies the BDA building blocks, analyzes the deployment requirements for edge-based BDA QoS, and drafts future trends. It also discusses critical open issues and further research directions for the next step of edge-based BDA.
dc.identifier.citationAwad, A. et al. (2023) “Big Data Analytics from the Rich Cloud to the Frugal Edge,” in 2023 IEEE International Conference on Edge Computing and Communications (EDGE), pp. 319–329.
dc.identifier.doihttps://doi.org/10.1109/EDGE60047.2023.00054
dc.identifier.issnElectronic ISSN: 2767-9918 Print on Demand(PoD) ISSN: 2767-990X
dc.identifier.urihttps://bspace.buid.ac.ae/handle/1234/2939
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofseries2023 IEEE International Conference on Edge Computing and Communications (EDGE)
dc.subjectBig Data,Edge Computing,Cloud Computing,Resource Management,Data Management,Data Privacy
dc.titleBig Data Analytics from the Rich Cloud to the Frugal Edge
dc.typeArticle
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