English

Memory Disaggregation: Advances and Open Challenges

Distributed, Parallel, and Cluster Computing 2023-05-09 v1

Abstract

Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleet-wide resource underutilization and increasing Total Cost of Ownership (TCO). With the advent of ultra-fast networks and cache-coherent interfaces, memory disaggregation has emerged as a potential solution, whereby applications can leverage available memory even outside server boundaries. This paper summarizes the growing research landscape of memory disaggregation from a software perspective and introduces the challenges toward making it practical under current and future hardware trends. We also reflect on our seven-year journey in the SymbioticLab to build a comprehensive disaggregated memory system over ultra-fast networks. We conclude with some open challenges toward building next-generation memory disaggregation systems leveraging emerging cache-coherent interconnects.

Keywords

Cite

@article{arxiv.2305.03943,
  title  = {Memory Disaggregation: Advances and Open Challenges},
  author = {Hasan Al Maruf and Mosharaf Chowdhury},
  journal= {arXiv preprint arXiv:2305.03943},
  year   = {2023}
}
R2 v1 2026-06-28T10:27:32.292Z