The 2nd Industry/University Joint International Workshop on Data Center Automation, Analytics, and Control (DAAC)
2018-11-12 09:00 - 17:30 (America/Chicago) | D170
Workshop
HPC Center Planning and Operations, Heterogeneous Systems, Scientific Computing, State of the Practice, Workshop Reg Pass, Datacenter

Invited Talk: Resource Control at Facebook

Heo

Facebook has been actively experimenting with cgroup2 resource control for years. In the process, we developed several kernel and userland mechanisms, fixed numerous isolation issues, and discovered a number of surprising interactions. We finally have work-conserving full-OS resource control working...

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Invited Talk: The Campus Compute Cooperative Project as an Alternative to Commercial Clouds

Grimshaw

Wide-area, federated, compute-sharing systems (such as Condor, gLite, Globus, and Legion) have been around for over twenty years. Outside of particular domains such as physics, these systems have not been widely adopted. Recently, however, universities are starting to propose and join resource-shari...

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Welcome, Workshop Goals, and Opening Remarks

Sill, Chen

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Workshop Morning Break

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Closing Remarks

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Workshop Afternoon Break

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Workshop Lunch (on your own)

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Simulating Data Centers with Redfish-Enabled Equipment

Nosrati, Sill, Chen

Analytic data, such as temperature and power consumption of equipment, are becoming growingly critical in high-end enterprise and also in high-performance computing platforms, especially for current petascale and future exascale systems on the horizon, consisting of tens of thousands or even hundred...

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Introduction - The 2nd Industry/University Joint International Workshop on Data Center Automation, Analytics, and Control (DAAC)

Chen, Dai, Cockerill, Sill

Our plan is for an Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control (DAAC) to be hosted at SC18. This workshop plan is an outcome of intensive discussions from academia, industry, and national laboratory researchers that led to a successful previous-...

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DiG: Enabling Out-of-Band Scalable High-Resolution Monitoring for Data-Center Analytics, Automation, and Control

Libri, Bartolini, Benini

Data centers are increasing in size and complexity, and we need scalable approaches to support their automated analysis and control. Performance, power consumption and reliability are their key "vital signs". State-of-the-Art monitoring systems provide built-in tools to collect performance measureme...

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Contention-Aware Container Placement Strategy for Docker Swarm

Chiang

Containerization technology utilizes operating system level virtualization to package applications so they can run with required libraries and are isolated from other processes on the same host. Lightweight and quick deployment make containers popular in many data centers. Running distributed appli...

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Invited Talk: Current Status of the OpenHPC Project

Schulz

Over the last several years, OpenHPC has emerged as a community-driven stack providing a variety of common, pre-built ingredients to deploy and manage an HPC Linux cluster including provisioning tools, resource management, I/O clients, runtimes, development tools, and a variety of scientific librari...

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Industry Panel: Data-Center Automation, Analytics, and Control from an Industry Perspective

Hass, Hughes, El Haj Mahmoud, Autor

Data center automation, analytics, and control have a long history in industry with a wide variety of approaches having been pursued. Recently, efforts have emerged to unify approaches to these topics with standards-based efforts. This panel will examine the challenges, history, and present status o...

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Workload Time Series Prediction in Storage Systems: A Deep Learning Based Approach

Ruan, Bai, Xiao, Xv, Zhang...

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HPCViz: Monitoring Health Status of High Performance Computing Systems

Dang, Nguyen, Pham, Ghazanfar, Chen

This paper introduces HPCViz, a visual analytic tool for tracking and monitoring system events through a RESTful interface. The goals of this tool are: 1) to monitor a set of system events from multiple hosts and racks in real time statistics, 2) to support system administrators in alarming and dete...

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Out-of-Band (BMC based) Data Center Monitoring DMTF Redﬁsh API Integration with Nagios

Ali, Chen, Hass, Sill

Nagios is an industry standard for HPC infrastructure monitoring including hosts and associated hardware components, networks, storages, services, and applications. However, there are significant issues with traditional Nagios including 1) Nagios requires human intervention for the definition and ma...

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TACC's Cloud Deployer: Automating the Management of Distributed Software Systems

Stubbs, Terry, Poindexter, Looney

The Cloud and Interactive Computing (CIC) Group at the Texas Advanced Computing Center develops, deploys and administers a growing catalog of cloud-based, distributed software systems for national-scale cyberinfrastructure projects. Additionally, these systems are being deployed off-site at prominen...

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Tivan: A Scalable Data Collection and Analytics Cluster

Greenberg, Debardeleben

Log analysis is a critical part of every data center to diagnose system issues and determine performance problems. As data centers increase in size, the need for a dedicated, scalable log analysis system becomes necessary. At Los Alamos National Laboratory, our clusters and support infrastructure ar...

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Energy and Power Aware Job Scheduling and Resource Management: Global Survey --- An In-Depth Analysis

Koenig, Maiterth, Jana, Bates, Pedretti...

This paper presents a detailed analysis of a first-of-kind global survey of high-performance computing centers that actively employ techniques within job scheduling and resource management middleware layers for managing energy and power on production supercomputers.

Our group conducted a series of ...

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Dynamic and Portable Vulnerability Assessment Testbed with Linux Containers to Ensure the Security of MongoDB in Singularity LXCs

Mailewa Dissanayaka, Mengel, Gittner, Khan

To find the available vulnerabilities against any system, it is mandatory to conduct vulnerability assessments as scheduled tasks in a regular manner. Thus, an easily deployable, easily maintainable, accurate vulnerability assessment testbed or a model is helpful as facilitated by Linux containers. ...
