Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues

Conference ·
 [1];  [2];  [1];  [1];  [1];  [3];  [3];  [2];  [2];  [2]
  1. Argonne National Laboratory, Lemont, IL, USA
  2. Northwestern University, Evanston, IL, USA
  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA
+ Show Author Affiliations

Not provided.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE Office of Science (SC)
OSTI ID:
1544271
Resource Relation:
Conference: 1st International Workshop on Autonomous Infrastructure for Science, Tempe, AZ, USA — June 11 - 11, 2018
Country of Publication:
United States
Language:
English

References (37)

Measuring the societal impact of research July 2012
Assessing science July 2014
Obtaining dynamic scheduling policies with simulation and machine learning January 2017
Accelerating Performance Inference over Closed Systems by Asymptotic Methods June 2017
A knowledge plane for the internet
  • No authors listed
  • Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications - SIGCOMM '03 https://doi.org/10.1145/863955.863957
January 2003
Hope for the best, prepare for the worst: multi-tier control for adaptive systems January 2014
DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning January 2017
Failure prediction for HPC systems and applications: Current situation and open issues July 2013
The dawning of the autonomic computing era January 2003
Improving backfilling by using machine learning to predict running times January 2015
Self-adaptive workload classification and forecasting for proactive resource provisioning January 2013
A survey on resource allocation in high performance distributed computing systems November 2013
Research challenges of autonomic computing January 2005
The vision of autonomic computing January 2003
Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling June 2016
Toward Automated Anomaly Identification in Large-Scale Systems February 2010
COS: A Parallel Performance Model for Dynamic Variations in Processor Speed, Memory Speed, and Thread Concurrency January 2017
CAPES: unsupervised storage performance tuning using neural network-based deep reinforcement learning January 2017
What Can Control Theory Teach Us About Assurances in Self-Adaptive Software Systems? January 2017
Multi-layer energy savings in optical core networks December 2014
A dynamic local method for bandwidth adaptation in bundle links to conserve energy in core networks
  • No authors listed
  • 2011 IEEE 5th International Conference on Advanced Networks and Telecommunication Systems (ANTS), 2011 Fifth IEEE International Conference on Advanced Telecommunication Systems and Networks (ANTS) https://doi.org/10.1109/ANTS.2011.6163644
December 2011
A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices October 2017
Performance modeling under resource constraints using deep transfer learning January 2017
On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications May 2010
A Large-Scale Study of Flash Memory Failures in the Field January 2015
A Survey of Autonomic Computing Systems June 2007
Predicting network attack patterns in SDN using machine learning approach
  • No authors listed
  • 2016 IEEE Conference on Network Function Virtualization and Software-Defined Networks (NFV-SDN), 2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) https://doi.org/10.1109/NFV-SDN.2016.7919493
November 2016
Cost-effective cloud HPC resource provisioning by building semi-elastic virtual clusters January 2013
I/O load balancing for big data HPC applications December 2017
Assessment, evaluations, and definitions of research impact: A review October 2013
Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale August 2015
Autonomic computing: emerging trends and open problems July 2005
Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies January 2007
An architectural approach to autonomic computing January 2004
Wrangler: Predictable and Faster Jobs using Fewer Resources January 2014
Hound: Causal Learning for Datacenter-scale Straggler Diagnosis April 2018
I/O-Aware Batch Scheduling for Petascale Computing Systems September 2015

Similar Records

Related Subjects