Special Issue "Algorithms for NoSQL Databases"

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Databases and Data Structures".

Deadline for manuscript submissions: closed (30 May 2020).

Special Issue Editor

Prof. Dr. Jorge Bernardino
Website SciProfiles
Guest Editor
1. Polytechnic of Coimbra—Instituto Superior de Engenharia de Coimbra (ISEC), 3030-190 Coimbra, Portugal
2. Centre of Informatics and Systems of University of Coimbra (CISUC), 3030-290 Coimbra, Portugal
Interests: NoSQL databases; NewSQL; big data analytics; database management systems; data warehousing; open source software; software engineering; decision-making; online analytical processing; business intelligence; experimental databases evaluation
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to submit your latest research in the area of NoSQL technology and algorithms to this Special Issue, “Algorithms for NoSQL Databases”. The rising interest in NoSQL technology, as well as the growth in the number of use case scenarios, over the last few years has resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies. We are looking for new and innovative approaches for solving big data problems on NoSQL databases. High-quality papers are solicited to address both theoretical and practical issues of NoSQL algorithms to improve performance, scalability, consistency, and other challenges. This Special Issue features a balance between state-of-the-art research and practical applications. This Special Issue also provides a forum for researchers and practitioners to review and disseminate quality research work on NoSQL databases and the critical issues for further development.

Prof. Dr. Jorge Bernardino
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • NoSQL databases
  • NoSQL algorithms
  • Big data algorithms for NoSQL
  • NoSQL evaluation
  • New NoSQL data models and algorithms
  • NoSQL use cases

Published Papers (1 paper)

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Research

Open AccessArticle
A Novel Global Key-Value Storage System Based on Kinetic Drives
Algorithms 2020, 13(10), 247; https://doi.org/10.3390/a13100247 - 29 Sep 2020
Abstract
NoSQL databases are flexible and efficient for many data intensive applications, and the key-value store is one of them. In recent years, a new Ethernet accessed disk drive called the “Kinetic Drive” was developed by Seagate. This new Kinetic Drive is specially designed [...] Read more.
NoSQL databases are flexible and efficient for many data intensive applications, and the key-value store is one of them. In recent years, a new Ethernet accessed disk drive called the “Kinetic Drive” was developed by Seagate. This new Kinetic Drive is specially designed for key-value stores. Users can directly access data with a Kinetic Drive via its IP address without going through a storage server/layer. With this new innovation, the storage stack and architectures of key-value store systems have been greatly changed. In this paper, we propose a novel global key-value store system based on Kinetic Drives. We explore data management issues including data access, key indexing, data backup, and recovery. We offer scalable solutions with small storage overhead. The performance evaluation shows that our location-aware design and backup approach can reduce the average distance traveled for data access requests. Full article
(This article belongs to the Special Issue Algorithms for NoSQL Databases)
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