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DTSTAMP:20260421T090514Z
LOCATION:Bldg. 8 - Room B 101
DTSTART;TZID=Europe/Stockholm:20260701T153000
DTEND;TZID=Europe/Stockholm:20260701T160000
UID:submissions.pasc-conference.org_PASC26_sess164_msa155@linklings.com
SUMMARY:Power Efficiency as seen from the storage perspective
DESCRIPTION:Jean-Thomas Acquaviva (DDN)\n\nWith computational resources in
 creasingly commoditized, performance optimization now prioritizes power ef
 ficiency. Effective energy optimization, however, necessitates preliminary
  empirical observations. If power monitoring is well established for compu
 te nodes, storage servers tend to be overlooked. \nThis talk presents stor
 age energy measurements that correlate power consumption with specific sto
 rage infrastructures and I/O patterns. Building on these observations, we 
 examine current optimization strategies. We could downscale storage capabi
 lities to save energy at the cost of performance degradation or increase s
 torage capabilities by allowing storage to perform computations. These con
 cepts are supported by empirical results obtained from the Excalidata proj
 ect. Finally, we contextualize these hardware and software optimizations w
 ithin the emergence of Lakehouse architectures, discussing their implicati
 ons for energy-efficient data processing.\n\nDomain: Computational Methods
  and Applied Mathematics\n\nSession Chairs: Jakob Luettgau (INRIA), Kira D
 uwe (CERN), and Michael Kuhn (Otto von Guericke University Magdeburg)\n\n
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