applied sciences Article Constructing a Lightweight Key-Value Store Based on the Windows Native Features Hyuk-Yoon Kwon Department of Industrial and Systems Engineering and the Research Center for Electrical and Information Technology, Seoul National University of Science and Technology, 232 Gongneung-Ro, Nowon-Gu, Seoul 01811, Korea;
[email protected] Received: 22 August 2019; Accepted: 7 September 2019; Published: 11 September 2019 Featured Application: In this paper, we propose a lightweight key-value store for managing various types of data, which are generated from Big data applications, in a very simple form. The proposed technique can be used in any environments where Windows operating systems are running, which encompass from client environments (e.g., Windows 10) to server environments (e.g., Windows Server 2016), with the minimum effort for the installation. For the other environments without Windows operating systems, we can easily migrate data to the other any environments that support existing key-value stores by using the ETL (Extract-Transform-Load) method proposed by this paper. Abstract: In this paper, we propose a method to construct a lightweight key-value store based on the Windows native features. The main idea is providing a thin wrapper for the key-value store on top of a built-in storage in Windows, called Windows registry. First, we define a mapping of the components in the key-value store onto the components in the Windows registry. Then, we present a hash-based multi-level registry index so as to distribute the key-value data balanced and to efficiently access them.