LKSM: Light Weight Key-Value Store for Efficient Application Services on Local Distributed Mobile Devices

Changlong Li, Hang Zhuang, Qingfeng Wang, Chao Wang, Xuehai Zhou*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

With the development of mobile network and corresponding techniques, more and more works focus on providing efficient services based on mobile devices. Furthermore, motivated by IoT, studies of local distributed mobile devices attract attentions of both industry and academia in recent years. However, existing storage systems cannot manage data and support the QoS of mobile services well. This paper presents LKSM, a light weight key-value storage system, which can be deployed on either one node or multiple nodes. To the best of our knowledge, it is the first attempt to propose key-value store in this scenario. We carefully analyze the challenges when designing the system on mobile clusters, and further propose RDS for addressing. With the help of RDS, LKSM achieves the goal of lower latency, better scalability, and higher availability. Furthermore, based on RDS, a novel data management strategy is presented, which successfully avoid energy holes of mobile clusters and achieves the tradeoff between performance and energy. We organize LKSM using a log-structured merge-tree and implement it based on LevelDB, an open source key-value storage system proposed by Google. Experiments on physical smartphones demonstrate that LKSM presents much higher performance compared with the ported LevelDB on mobile devices.

Original languageEnglish
Article number8402150
Pages (from-to)1026-1039
Number of pages14
JournalIEEE Transactions on Services Computing
Volume14
Issue number4
DOIs
StatePublished - 1 Jul 2021
Externally publishedYes

Keywords

  • Mobile computing
  • distributed databases
  • energy aware system
  • real-time distributed

Fingerprint

Dive into the research topics of 'LKSM: Light Weight Key-Value Store for Efficient Application Services on Local Distributed Mobile Devices'. Together they form a unique fingerprint.

Cite this