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DTSTART;TZID=America/Chicago:20181112T090000
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UID:submissions.supercomputing.org_SC18_sess169@linklings.com
SUMMARY:The 2nd Industry/University Joint International Workshop on Data C
 enter Automation, Analytics, and Control (DAAC)
DESCRIPTION:Workshop\nHPC Center Planning and Operations, Heterogeneous Sy
 stems, Scientific Computing, State of the Practice, Workshop Reg Pass, Dat
 acenter\n\nInvited Talk: Resource Control at Facebook\n\nHeo\n\nFacebook h
 as been actively experimenting with cgroup2 resource control for years. In
  the process, we developed several kernel and userland mechanisms, fixed n
 umerous isolation issues, and discovered a number of surprising interactio
 ns. We finally have work-conserving full-OS resource control working...\n\
 n---------------------\nInvited Talk: The Campus Compute Cooperative Proje
 ct as an Alternative to Commercial Clouds\n\nGrimshaw\n\nWide-area, federa
 ted, compute-sharing systems (such as Condor, gLite, Globus, and Legion) h
 ave 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...\n\n------
 ---------------\nWelcome, Workshop Goals, and Opening Remarks\n\nSill, Che
 n\n\n---------------------\nWorkshop Morning Break\n\n\n\n----------------
 -----\nClosing Remarks\n\n\n\n---------------------\nWorkshop Afternoon Br
 eak\n\n\n\n---------------------\nWorkshop Lunch (on your own)\n\n\n\n----
 -----------------\nSimulating Data Centers with Redfish-Enabled Equipment\
 n\nNosrati, Sill, Chen\n\nAnalytic data, such as temperature and power con
 sumption of equipment, are becoming growingly critical in high-end enterpr
 ise and also in high-performance computing platforms, especially for curre
 nt petascale and future exascale systems on the horizon, consisting of ten
 s of thousands or even hundred...\n\n---------------------\nIntroduction -
  The 2nd Industry/University Joint International Workshop on Data Center A
 utomation, Analytics, and Control (DAAC)\n\nChen, Dai, Cockerill, Sill\n\n
 Our plan is for an Industry/University Joint International Workshop on Dat
 a-Center Automation, Analytics, and Control (DAAC) to be hosted at SC18. T
 his workshop plan is an outcome of intensive discussions from academia, in
 dustry, and national laboratory researchers that led to a successful previ
 ous-...\n\n---------------------\nDiG: Enabling Out-of-Band Scalable High-
 Resolution Monitoring for Data-Center Analytics, Automation, and Control\n
 \nLibri, Bartolini, Benini\n\nData centers are increasing in size and comp
 lexity, and we need scalable approaches to support their automated analysi
 s and control. Performance, power consumption and reliability are their ke
 y "vital signs". State-of-the-Art monitoring systems provide built-in tool
 s to collect performance measureme...\n\n---------------------\nContention
 -Aware Container Placement Strategy for Docker Swarm\n\nChiang\n\nContaine
 rization technology utilizes operating system level virtualization to pack
 age applications so they can run with required libraries and are isolated 
 from other processes on the same host.  Lightweight and quick deployment m
 ake containers popular in many data centers. Running distributed appli...\
 n\n---------------------\nInvited Talk: Current Status of the OpenHPC Proj
 ect\n\nSchulz\n\nOver the last several years, OpenHPC has emerged as a com
 munity-driven stack providing a variety of common, pre-built ingredients t
 o deploy and manage an HPC Linux cluster including provisioning tools, res
 ource management, I/O clients, runtimes, development tools, and a variety 
 of scientific librari...\n\n---------------------\nIndustry Panel:  Data-C
 enter Automation, Analytics, and Control from an Industry Perspective\n\nH
 ass, Hughes, El Haj Mahmoud, Autor\n\nData center automation, analytics, a
 nd control have a long history in industry with a wide variety of approach
 es 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...\n\n---------------------\nWo
 rkload Time Series Prediction in Storage Systems: A Deep Learning Based Ap
 proach\n\nRuan, Bai, Xiao, Xv, Zhang...\n\n---------------------\nHPCViz: 
  Monitoring Health Status of High Performance Computing Systems\n\nDang, N
 guyen, Pham, Ghazanfar, Chen\n\nThis paper introduces HPCViz, a visual ana
 lytic tool for tracking and monitoring system events through a RESTful int
 erface. The goals of this tool are: 1) to monitor a set of system events f
 rom multiple hosts and racks in real time statistics, 2) to support system
  administrators in alarming and dete...\n\n---------------------\nOut-of-B
 and (BMC based) Data Center Monitoring DMTF Redfish API Integration 
 with Nagios\n\nAli, Chen, Hass, Sill\n\nNagios is an industry standard for
  HPC infrastructure monitoring including hosts and associated hardware com
 ponents, networks, storages, services, and applications. However, there ar
 e significant issues with traditional Nagios including 1) Nagios requires 
 human intervention for the definition and ma...\n\n---------------------\n
 TACC's Cloud Deployer: Automating the Management of Distributed Software S
 ystems\n\nStubbs, Terry, Poindexter, Looney\n\nThe Cloud and Interactive C
 omputing (CIC) Group at the Texas Advanced Computing Center develops, depl
 oys and administers a growing catalog of cloud-based, distributed software
  systems for national-scale cyberinfrastructure projects. Additionally, th
 ese systems are being deployed off-site at prominen...\n\n----------------
 -----\nTivan: A Scalable Data Collection and Analytics Cluster\n\nGreenber
 g, Debardeleben\n\nLog analysis is a critical part of every data center to
  diagnose system issues and determine performance problems. As data center
 s increase in size, the need for a dedicated, scalable log analysis system
  becomes necessary. At Los Alamos National Laboratory, our clusters and su
 pport infrastructure ar...\n\n---------------------\nEnergy and Power Awar
 e Job Scheduling and Resource Management: Global Survey --- An In-Depth An
 alysis\n\nKoenig, Maiterth, Jana, Bates, Pedretti...\n\nThis paper present
 s a detailed analysis of a first-of-kind global survey of high-performance
  computing centers that actively employ techniques within job scheduling a
 nd resource management middleware layers for managing energy and power on 
 production supercomputers.\n\nOur group conducted a series of ...\n\n-----
 ----------------\nDynamic and Portable Vulnerability Assessment Testbed wi
 th Linux Containers to Ensure the Security of MongoDB in Singularity LXCs\
 n\nMailewa Dissanayaka, Mengel, Gittner, Khan\n\nTo find the available vul
 nerabilities against any system, it is mandatory to conduct vulnerability 
 assessments as scheduled tasks in a regular manner. Thus, an easily deploy
 able, easily maintainable, accurate vulnerability assessment testbed or a 
 model is helpful as facilitated by Linux containers. ...\n
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