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DTSTART;TZID=America/Chicago:20181112T161000
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UID:submissions.supercomputing.org_SC18_sess169_pec407@linklings.com
SUMMARY:Invited Talk: The Campus Compute Cooperative Project as an Alterna
 tive to Commercial Clouds
DESCRIPTION:Andrew Grimshaw (University of Virginia)\n\nWide-area, federat
 ed, compute-sharing systems (such as Condor, gLite, Globus, and Legion) ha
 ve been around for over twenty years. Outside of particular domains such a
 s physics, these systems have not been widely adopted. Recently, however, 
 universities are starting to propose and join resource-sharing platforms. 
 Why this sudden change?\n\nMostly, this change has come in response to cos
 t concerns. HPC managers are under new pressure from university administra
 tors who demand that infrastructure outlays be economically justified. "Wh
 y not just put it all on Amazon?" goes the administration's refrain. In re
 sponse, HPC managers have begun to document the true cost of university-, 
 department-, and research-group-owned infrastructure, thus enabling a legi
 timate cost comparison with Amazon or Azure. Additionally, it may be noted
 , this pressure to consider outsourcing computing infrastructure has legit
 imized both remote computing and paying for computation.\n\nIn this talk, 
 I will briefly describe the Campus Compute Cooperative's (CCC). I will the
 n detail both the results of our market simulations and the take-aways fro
 m interviews with stakeholders.  By both of these measures, the CCC is val
 uable and viable: first, the simulation results clearly show the gains in 
 institutional value; second, stakeholders indicated that many institutions
  are open to trading resources. Most promising, some institutions expresse
 d interest in selling resources and others expressed willingness to pay.\n
 \nTag: Build Systems, Clouds and Distributed Computing, Data Analytics, De
 ep Learning, Education, HPC Center Planning and Operations, Heterogeneous 
 Systems, Resource Management, Scheduling, Scientific Computing, State of t
 he Practice, Visualization, HPC, Containers, Datacenter, Industry, monitor
 ing\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Yong Ch
 en (Texas Tech University), Tim Cockerill (Texas Advanced Computing Center
  (TACC)), Dong Dai (University of Delaware), and Alan Sill (Texas Tech Uni
 versity)\n\n
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