- Overview
- Conference Organizers
- Registration Information
- Registration Discounts
- At a Glance
- Calendar
- Activities
- Technical Sessions
- Workshops
- Posters and Demos
- Birds-of-a-Feather Sessions
- Sponsorship
- Hotel and Travel Information
- Services
- Students
- Questions
- Help Promote!
- For Participants
- Call for Papers
- Past Conferences
sponsors
usenix conference policies
Big Data Exploration Via Automated Orchestration of Analytic Workflows
Alina Beygelzimer, Anton Riabov, Daby Sow, Deepak S. Turaga, and Octavian Udrea, IBM T. J. Watson Research Center
Large-scale data exploration using Big Data platforms requires the orchestration of complex analytic workflows composed of atomic analytic components for data selection, feature extraction, modeling and scoring. In this paper, we propose an approach that uses a combination of planning and machine learning to automatically determine the most appropriate data-driven workflows to execute in response to a user-specified objective. We combine this with orchestration mechanisms and automatically deploy, adapt and manage such workflows across Big Data platforms. We present results of this automated exploration in real settings in healthcare.
Open Access Media
USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.
author = {Alina Beygelzimer and Anton Riabov and Daby Sow and Deepak S. Turaga and Octavian Udrea},
title = {Big Data Exploration Via Automated Orchestration of Analytic {Workflows}},
booktitle = {10th International Conference on Autonomic Computing (ICAC 13)},
year = {2013},
isbn = {978-1-931971-02-7},
address = {San Jose, CA},
pages = {153--158},
url = {https://www.usenix.org/conference/icac13/technical-sessions/presentation/beygelzimer},
publisher = {USENIX Association},
month = jun
}
connect with us