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|Title=International Symposium on Cluster Computing and the Grid 2019 | |Title=International Symposium on Cluster Computing and the Grid 2019 | ||
|Type=Conference | |Type=Conference | ||
− | | | + | |Official Website=https://www.ccgrid2019.org/ |
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|City=Larnaca | |City=Larnaca | ||
− | |Country= | + | |Country=Country:CY |
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|Has coordinator=University of Cyprus | |Has coordinator=University of Cyprus | ||
|has general chair=Marios Dikaiakos, Schahram Dustdar | |has general chair=Marios Dikaiakos, Schahram Dustdar | ||
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|has workshop chair=Adel Nadjaran Toosi, Borja Sotomayor | |has workshop chair=Adel Nadjaran Toosi, Borja Sotomayor | ||
|has tutorial chair=Adel Nadjaran Toosi, Borja Sotomayor | |has tutorial chair=Adel Nadjaran Toosi, Borja Sotomayor | ||
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|pageCreator=User:Curator 75 | |pageCreator=User:Curator 75 | ||
|pageEditor=User:Curator 89 | |pageEditor=User:Curator 89 | ||
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|Start Date=2019/05/14 | |Start Date=2019/05/14 | ||
|End Date=2019/05/17 | |End Date=2019/05/17 | ||
+ | |Academic Field=Grid Computing | ||
+ | |Event Status=as scheduled | ||
+ | |Event Mode=on site | ||
}} | }} | ||
+ | {{Event Deadline | ||
+ | |Paper Deadline=2018/12/14 | ||
+ | |Workshop Deadline=2018/09/30 | ||
+ | |Tutorial Deadline=2019/01/15 | ||
+ | |Notification Deadline=2019/02/15 | ||
+ | |Camera-Ready Deadline=2019/05/28 | ||
+ | }} | ||
+ | {{S Event}} | ||
CCGrid 2019 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud, grid and edge computing. | CCGrid 2019 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud, grid and edge computing. | ||
Latest revision as of 12:59, 19 October 2022
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Venue
Larnaca, Cyprus
Warning: Venue is missing. The map might not show the exact location.
CCGrid 2019 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud, grid and edge computing.
Topics
Topics of interest include, but are not limited to:
Applications and Data Science: Applications to real and complex problems in science, engineering, business, and society; user studies; experiences with large-scale deployments, systems, or applications.
Architecture and Networking: Design and use of emergent system architectures; multicores; power and cooling; power-efficient ("green") computing; security and reliability; high availability solutions; high performance GPU applications.