| Title: |
Power and Performance Analysis of Persistent Key-Value Stores |
| Authors: |
Mikrou, Stella; Papagiannis, Anastasios; Saloustros, Giorgos; Marazakis, Manolis; Bilas, Angelos |
| Publication Year: |
2020 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Distributed, Parallel, and Cluster Computing; Computer Science - Performance |
| Description: |
With the current rate of data growth, processing needs are becoming difficult to fulfill due to CPU power and energy limitations. Data serving systems and especially persistent key-value stores have become a substantial part of data processing stacks in the data center, providing access to massive amounts of data for applications and services. Key-value stores exhibit high CPU and I/O overheads because of their constant need to reorganize data on the devices. In this paper, we examine the efficiency of two key-value stores on four servers of different generations and with different CPU architectures. We use RocksDB, a key-value that is deployed widely, e.g. in Facebook, and Kreon, a research key-value store that has been designed to reduce CPU overhead. We evaluate their behavior and overheads on an ARM-based microserver and three different generations of x86 servers. Our findings show that microservers have better power efficiency in the range of 0.68-3.6x with a comparable tail latency. |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2008.13402 |
| Accession Number: |
edsarx.2008.13402 |
| Database: |
arXiv |