Accessing data with low latency is a major issue for big data platforms. Some platforms use a Multiget method when accessing data. The Multiget method can be used efficiently when a server should seek data with multiple keys or many single get requests are waiting in a command queue. The method is implemented to access multiple blocks of data using multiple keys. In this research, we developed MPMG, a novel multipath Multiget method for a solid state drive (SSD)-based key-value storage. In MPMG, we use the open source key-value storage RocksDB, which was developed by Facebook and is one of the most representative key-value NoSQL stores. Current RocksDB system cannot fully utilize the internal parallelism of SSD. The MPMG method was designed to leverage ssd internal parallelism and access data in SSD with parallel approach. The ability to support the parallel access inside SSD is efficient for performance. With multipath approach, the SSD can fully exploit its bandwidth, compared to the original approach. In an experiment, this method showed improvements in speed and throughput. The elapsed time for processing decreased up to 80.
|Title of host publication||Proceedings of the 7th International Conference on Emerging Databases - Technologies, Applications, and Theory|
|Editors||Wonik Choi, Wookey Lee, Min Song, Sungwon Jung|
|Number of pages||13|
|Publication status||Published - 2018|
|Event||7th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2017 - Busan, Korea, Republic of|
Duration: 2017 Aug 7 → 2017 Aug 9
|Name||Lecture Notes in Electrical Engineering|
|Other||7th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2017|
|Country||Korea, Republic of|
|Period||17/8/7 → 17/8/9|
Bibliographical noteFunding Information:
Acknowledgement. This research was supported by the MSIP, Korea, under the “SW Starlab” (IITP-2017-0-00477) supervised by the IITP (Institute for Information & communications Technology Promotion).
© 2018, Springer Nature Singapore Pte Ltd.
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering