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HPCA
2012
IEEE

System-level implications of disaggregated memory

8 years 9 months ago
System-level implications of disaggregated memory
Recent research on memory disaggregation introduces a new architectural building block—the memory blade—as a cost-effective approach for memory capacity expansion and sharing for an ensemble of blade servers. Memory blades augment blade servers’ local memory capacity with a second-level (remote) memory that can be dynamically apportioned among blades in response to changing capacity demand, albeit at a higher access latency. In this paper, we build on the prior research to explore the software and systems implications of disaggregated memory. We develop a software-based prototype by extending the Xen hypervisor to emulate a disaggregated memory design wherein remote pages are swapped into local memory on-demand upon access. Our prototyping effort reveals that low-latency remote memory calls for a different regime of replacement policies than conventional disk paging, favoring minimal hypervisor overhead even at the cost of using less sophisticated replacement policies. Second, w...
Kevin T. Lim, Yoshio Turner, Jose Renato Santos, A
Added 24 Apr 2012
Updated 24 Apr 2012
Type Journal
Year 2012
Where HPCA
Authors Kevin T. Lim, Yoshio Turner, Jose Renato Santos, Alvin AuYoung, Jichuan Chang, Parthasarathy Ranganathan, Thomas F. Wenisch
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