Recent availability of warm water cooling systems that can be easily retrofitted to stock server by replacing the heatsinks with coldplates have made it possible to use such cooling for non-HPC cloud/data center servers. These cooling systems use internal pumps in rack-level heat exchangers as well as external pumps that can fail. We present a systematic study of the pump failures that disrupt flow in the cooling system, propose and experimentally evaluate techniques for reducing service disruptions during failures while avoiding damage to the servers where water cooling has failed.
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An Adaptive Approach for Dealing with Flow Disruption in Virtualized Water-Cooled Data Centers
The recent availability of water cooling systems that can be easily retrofitted to stock servers by replacing the heatsinks with coldplates has made it possible to use such systems for non-HPC cloud/data center servers. These cooling systems use pumps to circulate water and the pumps are likely to fail in the long run. We present a technique to handle flow disruptions caused by the pump failures in a virtualized environment. The solution uses an estimation of the residual cooling capacity left in the failed cooling system to adaptively adjust the CPU clock frequency as virtual machines are migrated off the racks affected by the failure. This minimizes the degradation of the tail latencies of the served requests during the migration interval for all servers affected by the failure, as seen in the experimental results
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- Award ID(s):
- 1738793
- PAR ID:
- 10162330
- Date Published:
- Journal Name:
- 2019 IEEE 12th International Conference on Cloud Computing (CLOUD)
- Page Range / eLocation ID:
- 296 to 300
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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