Disaggregating resources in data centers is an emerging trend. Recent work has begun to explore memory disaggregation, but suffers limitations including lack of consideration of the complexity of cloud-based deployment, including heterogeneous hardware and APIs for cloud users and operators. In this paper, we present FluidMem, a complete system to realize disaggregated memory in the datacenter. Going beyond simply demonstrating remote memory is possible, we create an entire Memory as a Service. We define the requirements of Memory as a Service and build its implementation in Linux as FluidMem. We present a performance analysis of FluidMem and demonstrate that it transparently supports remote memory for standard applications such as MongoDB and genome sequencing applications.
@article{arxiv.1707.07780,
title = {FluidMem: Memory as a Service for the Datacenter},
author = {Blake Caldwell and Youngbin Im and Sangtae Ha and Richard Han and Eric Keller},
journal= {arXiv preprint arXiv:1707.07780},
year = {2017}
}