Big Data Analytics from the Rich Cloud to the Frugal Edge
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
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.
Description
Keywords
Big Data,Edge Computing,Cloud Computing,Resource Management,Data Management,Data Privacy
Citation
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.