Paper Info
Title
Stratum: A Bigdata-As-A-Service For Lifecycle Management Of Iot Analytics Applications
Abstract
Smart Internet of Things (IoT) applications require real-time and robust predictive analytics, which are based on Machine Learning (ML) models. Building ML models from Big Data is not only time-consuming, but developers often lack the needed expertise for feature engineering, parameter tuning, and model selection. The proliferation of ML libraries and frameworks, data ingestion tools, stream and batch processing engines, visualization techniques, and the range of available hardware platforms further exacerbates the system design, rapid development, and deployment problems. Finally, resource constraints of IoT require that the execution of the analytics engine be distributed across the cloud-edge spectrum. To overcome these daunting challenges, we present Stratum, which is an event-driven Big Data-as-a-Service offering for IoT analytics lifecycle management. Stratum provides users with an intuitive, declarative mechanism based on the principles of model-driven engineering to specify the application and infrastructure requirements. It automates the deployment via generative programming principles. This paper highlights the problems that Stratum resolves, demonstrating its capabilities using real-world case studies.
Year
DOI
Venue
2019
10.1109/BigData47090.2019.9006518
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
Keywords
Field
DocType
AI/ML platform, Big Data Analytics, IoT, Cloud/Edge Resource Management, Deployment, Automation, Domain-Specific Modeling
Application lifecycle management,Software deployment,Domain-specific modeling,Software engineering,Computer science,Predictive analytics,Systems design,Feature engineering,Artificial intelligence,Analytics,Big data,Machine learning
Conference
ISSN
Citations 
PageRank 
2639-1589
1
0.35
References 
Authors
0
7
Name
Order
Citations
PageRank
Anirban Bhattacharjee171.13
Yogesh D. Barve2205.51
Shweta Khare391.82
Shunxing Bao4468.53
Zhuangwei Kang561.79
Aniruddha S. Gokhale61039.94
Thomas Damiano7262.15