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LOCATION:D170
DTSTART;TZID=America/Chicago:20181112T090000
DTEND;TZID=America/Chicago:20181112T173000
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:The DAAC workshop series is focused on fostering discussion am
 ong industry, academic, and national laboratory participants and promoting
  collaboration on solutions for automated data centers and associated data
  center analytics and control issues. The objective is to promote and stim
 ulate community's interactions to address some of most critical challenges
  in automation, analytics, and control specifically aimed for the needs of
  large-scale data centers in high-performance and other forms of highly sc
 aled computing. This year's workshop features an exciting mix of ideas fro
 m industry and university contributors with experience in diverse settings
  for large-scale data center deployments.\n\nIntroduction - The 2nd Indust
 ry/University Joint International Workshop on Data Center Automation, Anal
 ytics, and Control (DAAC)\n\nOur 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 t
 hat led to a successful previous-...\n\n\nYong Chen (Texas Tech University
 ); Dong Dai (University of North Carolina, Charlotte); Tim Cockerill (Texa
 s Advanced Computing Center); and Alan Sill (Texas Tech University)\n-----
 ----------------\nClosing Remarks\n---------------------\nContention-Aware
  Container Placement Strategy for Docker Swarm\n\nContainerization technol
 ogy utilizes operating system level virtualization to package applications
  so they can run with required libraries and are isolated from other proce
 sses on the same host.  Lightweight and quick deployment make containers p
 opular in many data centers. Running distributed appli...\n\n\nRon Chi-Lun
 g Chiang (University of St. Thomas)\n---------------------\nTACC's Cloud D
 eployer: Automating the Management of Distributed Software Systems\n\nThe 
 Cloud and Interactive Computing (CIC) Group at the Texas Advanced Computin
 g Center develops, deploys and administers a growing catalog of cloud-base
 d, distributed software systems for national-scale cyberinfrastructure pro
 jects. Additionally, these systems are being deployed off-site at prominen
 ...\n\n\nJoe Stubbs, Steve Terry, Marjo Poindexter, and Julia Looney (Univ
 ersity of Texas)\n---------------------\nOut-of-Band (BMC based) Data Cent
 er Monitoring DMTF Redfish API Integration with Nagios\n\nNagios is an indu
 stry standard for HPC infrastructure monitoring including hosts and associ
 ated 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...\n\n\nGhaz
 anfar Ali and Yong Chen (Texas Tech University), Jon Hass (Dell Inc), and 
 Alan Sill (Texas Tech University)\n---------------------\nTivan: A Scalabl
 e Data Collection and Analytics Cluster\n\nLog 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, scal
 able log analysis system becomes necessary. At Los Alamos National Laborat
 ory, our clusters and support infrastructure ar...\n\n\nHugh Greenberg and
  Nathan Debardeleben (Los Alamos National Laboratory)\n-------------------
 --\nSimulating Data Centers with Redfish-Enabled Equipment\n\nAnalytic dat
 a, such as temperature and power consumption of equipment, are becoming gr
 owingly critical in high-end enterprise and also in high-performance compu
 ting platforms, especially for current petascale and future exascale syste
 ms on the horizon, consisting of tens of thousands or even hundred...\n\n\
 nAli Akbar Nosrati, Alan Sill, and Yong Chen (Texas Tech University)\n----
 -----------------\nDynamic and Portable Vulnerability Assessment Testbed w
 ith Linux Containers to Ensure the Security of MongoDB in Singularity LXCs
 \n\nTo find the available vulnerabilities against any system, it is mandat
 ory to conduct vulnerability assessments as scheduled tasks in a regular m
 anner. Thus, an easily deployable, easily maintainable, accurate vulnerabi
 lity assessment testbed or a model is helpful as facilitated by Linux cont
 ainers. ...\n\n\nAkalanka Mailewa Dissanayaka, Susan Mengel, Lisa Gittner,
  and Hafiz Khan (Texas Tech University)\n---------------------\nWorkload T
 ime Series Prediction in Storage Systems: A Deep Learning Based Approach\n
 \nLi Ruan, Yu Bai, Limin Xiao, Rongbin Xv, and Yiyang Zhang (Beihang Unive
 rsity); Shuibing He (Wuhan University); and Hongtao You (Wuxi Jiangnan Ins
 titute of Computing Technology)\n---------------------\nInvited Talk: Curr
 ent Status of the OpenHPC Project\n\nOver 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 pro
 visioning tools, resource management, I/O clients, runtimes, development t
 ools, and a variety of scientific librari...\n\n\nKarl Schulz (University 
 of Texas; Institute for Computational Engineering and Sciences, Dell Medic
 al School)\n---------------------\nHPCViz:  Monitoring Health Status of Hi
 gh Performance Computing Systems\n\nThis 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 even
 ts from multiple hosts and racks in real time statistics, 2) to support sy
 stem administrators in alarming and dete...\n\n\nTommy Dang, Vinh T. Nguye
 n, Vung Pham, Ali Ghazanfar, and Yong Chen (Texas Tech University)\n------
 ---------------\nDiG: Enabling Out-of-Band Scalable High-Resolution Monito
 ring for Data-Center Analytics, Automation, and Control\n\nData centers ar
 e increasing in size and complexity, and we need scalable approaches to su
 pport 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...\n\n\nAn
 tonio Libri (ETH Zurich), Andrea Bartolini (University of Bologna), and Lu
 ca Benini (ETH Zurich)\n---------------------\nWelcome, Workshop Goals, an
 d Opening Remarks\n\nAlan Sill and Yong Chen (Texas Tech University)\n----
 -----------------\nEnergy and Power Aware Job Scheduling and Resource Mana
 gement: Global Survey --- An In-Depth Analysis\n\nThis paper presents a de
 tailed analysis of a first-of-kind global survey of high-performance compu
 ting centers that actively employ techniques within job scheduling and res
 ource management middleware layers for managing energy and power on produc
 tion supercomputers.\n\nOur group conducted a series of ...\n\n\nGregory A
 . Koenig (Energy Efficient HPC Working Group, KPMG); Matthias Maiterth and
  Siddhartha Jana (Intel Corporation); Natalie Bates (Energy Efficient HPC 
 Working Group); Kevin Pedretti (Sandia National Laboratories); Milos Puzov
 ic (Hartree Centre); Andrea Borghesi and Andrea Bartolini (University of B
 ologna); and David Montoya (Los Alamos National Laboratory)\n-------------
 --------\nInvited Talk: The Campus Compute Cooperative Project as an Alter
 native to Commercial Clouds\n\nWide-area, federated, compute-sharing syste
 ms (such as Condor, gLite, Globus, and Legion) have been around for over t
 wenty 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\nAndrew Grimshaw (University of
  Virginia)\n---------------------\nWorkshop Lunch (on your own)\n---------
 ------------\nWorkshop Morning Break\n---------------------\nWorkshop Afte
 rnoon Break\n---------------------\nInvited Talk: Resource Control at Face
 book\n\nFacebook has been actively experimenting with cgroup2 resource con
 trol for years. In the process, we developed several kernel and userland m
 echanisms, fixed numerous isolation issues, and discovered a number of sur
 prising interactions. We finally have work-conserving full-OS resource con
 trol working...\n\n\nTejun Heo (Facebook)\n---------------------\nIndustry
  Panel:  Data-Center Automation, Analytics, and Control from an Industry P
 erspective\n\nData center automation, analytics, and control have a long h
 istory in industry with a wide variety of approaches having been pursued. 
 Recently, efforts have emerged to unify approaches to these topics with st
 andards-based efforts. This panel will examine the challenges, history, an
 d present status o...\n\n\nJon Hass (Dell Inc), Kevin Hughes (Cray Inc), S
 amer El Haj Mahmoud (Lenovo), and Jeff Autor (Hewlett Packard Enterprise)\
 n\nTag: Build Systems, Clouds and Distributed Computing, Data Analytics, D
 eep Learning, Education, HPC Center Planning and Operations, Heterogeneous
  Systems, Resource Management, Scheduling, Scientific Computing, State of 
 the Practice, Visualization, HPC, Containers, Datacenter, Industry, monito
 ring\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Yong C
 hen (Texas Tech University), Tim Cockerill (Texas Advanced Computing Cente
 r (TACC)), Dong Dai (University of Delaware), and Alan Sill (Texas Tech Un
 iversity)
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