FlowOS-RM: Disaggregated Resource Management System

Authors: Ryousei Takano (National Institute of Advanced Industrial Science and Technology (AIST)), Kuniyasu Suzaki (National Institute of Advanced Industrial Science and Technology (AIST)), Hidetaka Koie (National Institute of Advanced Industrial Science and Technology (AIST))

Abstract: A traditional data center consists of monolithic-servers is confronted with limitations including lack of operational flexibility, low resource utilization, low maintainability, etc. Resource disaggregation is a promising solution to address the above issues. We propose a concept of disaggregated data center architecture called Flow-in-Cloud (FiC) that enables an existing cluster computer to expand an accelerator pool through a high-speed network. FiC is a shared pool of heterogeneous accelerators such as GPU and FPGA, which are directly connected by a circuit-switched network. From the pool of accelerators, a slice is dynamically configured and provided according to a user request. FlowOS-RM manages the entire FiC resources, and supports execution of a user job on provided slices. This poster demonstrates effective resource sharing on the prototype system using a distributed deep learning application.

Best Poster Finalist (BP): no

Poster: pdf
Poster summary: PDF


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