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DTSTART;TZID=America/Denver:20231115T100000
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UID:submissions.supercomputing.org_SC23_sess303_rpost171@linklings.com
SUMMARY:An Early Case Study with Multi-Tenancy Support in SPDK’s NVMe-over
 -Fabric Designs
DESCRIPTION:Darren Ng, Charles Parkinson, Andrew Lin, Arjun Kashyap, and X
 iaoyi Lu (University of California, Merced)\n\nResource disaggregation is 
 prevalent in datacenters since it provides high resource utilization when 
 compared to servers dedicated to either compute, memory, or storage. NVMe-
 over-Fabrics (NVMe-oF) is the standardized protocol used for accessing dis
 aggregated storage over the network. Currently, the NVMe-oF specification 
 lacks any semantics to prioritize I/O requests based on different applicat
 ion needs. Since applications have varying goals — latency-sensitive or th
 roughput-critical I/O — we need to design efficient schemes in order to al
 low applications to specify the type of performance they wish to achieve. 
 Furthermore, with additional tenants, we need to provide the respective sp
 ecified performance optimizations that each application requests, regardle
 ss of congestion. This is a challenging problem, as the current NVMe speci
 fication lacks semantics to support multi-tenancy. Our research poster bri
 ngs awareness to the ways in which we can bring multi-tenancy support to t
 he NVMe-oF specification.\n\nTag: Artificial Intelligence/Machine Learning
 , Architecture and Networks, Heterogeneous Computing, I/O and File Systems
 , Performance Measurement, Modeling, and Tools, Post-Moore Computing, Prog
 ramming Frameworks and System Software, Quantum Computing\n\nRegistration 
 Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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