International Workshop on Autonomous Infrastructure for Science

(AI-Science'18)

In conjunction with ACM HPDC2018

Tempe, AZ, USA

http://www.hpdc.org/2018/

Workshop Program

11 June 2018

9:00am - 4:30pm (local time)

Student Pavilion, Arizona State University Campus

400 E. Orange Street, Tempe, AZ 85287

Session 1 (9:00am – 10:00am): Introduction and Keynote Presentation

Chair: Pete Beckman

Speaker: Salim Hariri, University of Arizona

Title: Autonomic Composable Data Center (ACDC): The next generation paradigm for Developing Large Scale Data Centers, (slides)

Data infrastructures such as Google, Amazon, eBay, and E-Trade are powered by data centers (DCs) that contain tens to hundreds of thousands of computers and storage devices running complex software applications. Between 2013 to 2020, organizations’ investment in software for mobile, social, cloud, and big data technologies is expected to grow over 20 times faster than organizations’ investment in hardware for Information Technologies (IT). Traditional IT architectures are not designed to provide an agile infrastructure to keep up with the rapidly evolving next-generation mobile, big data, and application demands, as they are distinct from the “traditional” enterprise applications. Common characteristics of the next-generation applications are nonlinear scaling and relatively unpredictable growth as a function of inputs being processed, their size, and dynamic behavior. The dynamic and unpredictable changes in the Service Level Objectives (SLOs) (e.g., availability response time, reliability, energy) of these applications require continuous provisioning and re-provisioning of DC resources. Ultimately, this means considering the impractical approach of building new DCs that can efficiently support the distinct design principles for each unique DC workload or application. In this presentation, I will review our ongoing approach to design and implement Autonomic Composable Data Centers (ACDC) and associated resource management techniques that utilize a set of flexible building blocks that can be dynamically and automatically assembled and re-assembled to meet the dynamic changes in workload’s SLO of current and future DC applications

Bio: Dr. Salim Hariri is a Professor in the Department of Electrical and Computer Engineering at The University of Arizona. He received his Ph.D. in computer engineering from University of Southern California in 1986, and an MSc from The Ohio State University in 1982. He is the UA site director of NSF Center for Cloud and Autonomic Computing and he is the Editor-In-Chief for the CLUSTER COMPUTING JOURNAL (Springer, http://clus.edmgr.com). Research interests include Cybersecurity modeling and analysis, resilient cyber resources and services, and high performance distributed systems.

Break (10:00am - 10:30am)

Session 2 (10:30am – 12:00pm): Paper presentation

Chair: Raj Kettimuthu

Emmanuel Stahl, Agustín Gabriel Yabo, Olivier Richard, Bruno Bzeznik, Bogdan Robu, Eric Rutten: Towards a control-theory approach for minimizing unused grid resources (slides)

Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steve Tuecke, Narayanan Kasthuri, Ian Foster: High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation (slides)

Qiang Liu, Nageswara S. V. Rao, Satyabrata Sen, Bradley W. Settlemyer, Hsing-Bung Chen, Joshua M. Boley, Rajkumar Kettimuthu, Dimitrios Katramatos: Virtual Environment for Testing Software-Defined Networking Solutions for Scientific Workflows (slides)

Lunch Break (12:00pm – 1:00pm)

Session 3 (1:00pm – 2:40pm): Paper presentation

Chair: Alex Sim

Xi Yang, Tom Lehman, Rajkumar Kettimuthu, Linda Winkler, Eun-Sung Jung: A Model Driven Intelligent Orchestration Approach to Service Automation in Large Distributed Infrastructures (slides)

Rajkumar Kettimuthu, Zhengchun Liu, Ian Foster, Pete H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok Choudhary: Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues (slides)

Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu: Identifying Anomalous File Transfer Events in LCLS Workflow (slides)

Pranjal Sahu, Dantong Yu, Kevin Yager, Mallesham Dasari, Hong Qin: In-Operando Tracking and Prediction of Transition in Material System using LSTM (slides)