PADL: A Modeling and Deployment Language for Advanced Analytical Services
Date
2020-11-24Keywords
Edge computing
Analytical pipelines
Machine learning life cycle
Artificial intelligence description language
Abstract
In the smart city context, Big Data analytics plays an important role in processing the
data collected through IoT devices. The analysis of the information gathered by sensors favors the
generation of specific services and systems that not only improve the quality of life of the citizens,
but also optimize the city resources. However, the difficulties of implementing this entire process
in real scenarios are manifold, including the huge amount and heterogeneity of the devices, their
geographical distribution, and the complexity of the necessary IT infrastructures. For this reason,
the main contribution of this paper is the PADL description language, which has been specifically
tailored to assist in the definition and operationalization phases of the machine learning life cycle.
It provides annotations that serve as an abstraction layer from the underlying infrastructure and
technologies, hence facilitating the work of data scientists and engineers. Due to its proficiency in ...
Type
article