PARALLEL DATA LAB 

PDL Abstract

High availability in cheap distributed key value storage

SoCC ’20, October 19–21, 2020, Virtual Event, USA.

Thomas Kim, Daniel Lin-Kit Wong, Gregory R. Ganger, Michael Kaminsky, David G. Andersen*

Carnegie Mellon University
5000 Forbes Ave.
Pittsburgh, PA 15213

* Carnegie Mellon Univ and BrdgAI

http://www.pdl.cmu.edu/

Memory-based storage currently offers the highest-performance distributed storage, keeping the primary copy of all data in DRAM. Recent advances in non-volatile main memory (NVMM) technologies promise latency similar to DRAM at reduced cost and energy, but will make providing high availability more challenging. Previous approaches to failure recovery involve maintaining multiple identical replicas or relying on fast offline restoration of data from backup replicas stored on SSD. Unfortunately, NVMM’s combination of lower write throughput and increased storage density means that offline restoration can no longer provide sufficiently fast recovery, and maintaining multiple identical replicas is generally cost prohibitive.

CANDStore is a strongly consistent, distributed, replicated key-value store that uses a new fast crash recovery protocol. As a result, CANDStore can use NVMM and NVMe SSD technology to provide low-latency distributed storage that is cheaper and higher-availability than existing main memory-based distributed storage. Our evaluation shows that CANDStore’s recovery protocol enables the system to restore performance and meet SLOs after the failure of a primary node 4.5–10.5x faster than offline recovery.

FULL PAPER: pdf / talk video