Big Data Analytics from the Rich Cloud to the Frugal Edge
—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 arti...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/2939 https://ieeexplore.ieee.org/document/10234250 https://doi.org/10.1109/EDGE60047.2023.00054 |
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إضافة وسم
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| _version_ | 1862980613203558400 |
|---|---|
| author | M. Awaysheh, Feras |
| author2 | Tommasini, Riccardo Awad, Ahmed |
| author2_role | author author |
| author_facet | M. Awaysheh, Feras Tommasini, Riccardo Awad, Ahmed |
| author_role | author |
| dc.creator.none.fl_str_mv | M. Awaysheh, Feras Tommasini, Riccardo Awad, Ahmed |
| dc.date.none.fl_str_mv | 2023 2025-05-07T10:35:36Z 2025-05-07T10:35:36Z |
| dc.identifier.none.fl_str_mv | Awad, 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. Electronic ISSN: 2767-9918 Print on Demand(PoD) ISSN: 2767-990X https://bspace.buid.ac.ae/handle/1234/2939 https://ieeexplore.ieee.org/document/10234250 https://doi.org/10.1109/EDGE60047.2023.00054 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | 2023 IEEE International Conference on Edge Computing and Communications (EDGE) |
| dc.subject.none.fl_str_mv | Big Data,Edge Computing,Cloud Computing,Resource Management,Data Management,Data Privacy |
| dc.title.none.fl_str_mv | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| dc.type.none.fl_str_mv | Article |
| description | —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. |
| id | budr_e4aa7685f08d7022d5f5b59de41cb1c8 |
| identifier_str_mv | Awad, 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. Electronic ISSN: 2767-9918 Print on Demand(PoD) ISSN: 2767-990X |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/2939 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Big Data Analytics from the Rich Cloud to the Frugal EdgeM. Awaysheh, FerasTommasini, RiccardoAwad, AhmedBig Data,Edge Computing,Cloud Computing,Resource Management,Data Management,Data Privacy—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.IEEE2025-05-07T10:35:36Z2025-05-07T10:35:36Z2023ArticleAwad, 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.Electronic ISSN: 2767-9918 Print on Demand(PoD) ISSN: 2767-990Xhttps://bspace.buid.ac.ae/handle/1234/2939https://ieeexplore.ieee.org/document/10234250https://doi.org/10.1109/EDGE60047.2023.00054en2023 IEEE International Conference on Edge Computing and Communications (EDGE)oai:bspace.buid.ac.ae:1234/29392025-08-13T07:20:42Z |
| spellingShingle | Big Data Analytics from the Rich Cloud to the Frugal Edge M. Awaysheh, Feras Big Data,Edge Computing,Cloud Computing,Resource Management,Data Management,Data Privacy |
| title | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| title_full | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| title_fullStr | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| title_full_unstemmed | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| title_short | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| title_sort | Big Data Analytics from the Rich Cloud to the Frugal Edge |
| topic | Big Data,Edge Computing,Cloud Computing,Resource Management,Data Management,Data Privacy |
| url | https://bspace.buid.ac.ae/handle/1234/2939 https://ieeexplore.ieee.org/document/10234250 https://doi.org/10.1109/EDGE60047.2023.00054 |