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) | Viewed by 3468

Special Issue Editor


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Guest Editor
ISEC, Polytechnic University of Coimbra, Coimbra, Portugal
Interests: big data; data analytics; data management; databases; software engineering; artificial intelligence
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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 submissions that pass pre-check are 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.

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Keywords

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

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Published Papers (1 paper)

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Research

20 pages, 1658 KiB  
Article
A Novel Global Key-Value Storage System Based on Kinetic Drives
by Xiang Cao and Cheng Li
Algorithms 2020, 13(10), 247; https://doi.org/10.3390/a13100247 - 29 Sep 2020
Viewed by 2862
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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