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Benchmarking Consistency Levels of Cloud-Distributed nosql databases Using YCSB

IEEE ACCESS 2025年 13卷 63428-63438页

作者： Ferreira, Saulo Mendonca, Julio Nogueira, Bruno Tiengo, Willy Andrade, Ermeson Fed Rural Univ Pernambuco UFRPE Dept Comp BR-52171900 Recife PE Brazil Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust SnT L-4365 Esch Sur Alzette Luxembourg Univ Fed Alagoas Inst Comp BR-57260000 Maceio Brazil

Distributed database systems offer scalability and fault tolerance by replicating databases across geographically dispersed nodes. This redundancy aims to ensure data availability even during failures and allows for backups in case of disasters. However, maintaining strong data consistency, where all nodes reflect the latest data simultaneously, becomes a challenge in such geographically distributed setups since database systems need to prioritize availability or performance over strong data consistency. This study examines how different data consistency configurations affect the performance of popular nosql (Not only SQL) databases, namely Cassandra, MongoDB, and Redis, in a multi-region cloud environment. We adopt the Yahoo! Cloud Serving Benchmark (YCSB) tool to simulate various workloads, measure performance metrics, and compare the results. Our findings reveal significant performance degradation associated with strong data consistency configurations. For instance, in Cassandra, the number of writing/reading operations processed per second can decrease by up to 95% for specific workloads. Similarly, enforcing strong data consistency in Redis can result in execution times that are over 20 times slower on writing/reading operations.

关键词： nosql databases databases Distributed databases Database systems Benchmark testing Cloud computing Time factors Runtime Relational databases Redundancy Database nosql cloud benchmarking

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A Novel Framework for RDF Schema Extraction in nosql databases Using Sentence-BERT

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IEEE Access 2025年 13卷 88243-88254页

作者： Belefqih, Saad Barchane, Mohammed Zellou, Ahmed Benlahmar, El Habib Mohammed v University in Rabat Software Project Management Research Team Ensias Rabat Morocco Hassan Ii University Laboratory of Information Technology and Modeling Faculty of Sciences Ben m'Sick Casablanca Morocco

nosql databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant challenges in metadata management, query optimization, and data integration. This research presents a novel schema extraction framework that captures the structural and semantic complexity of nosql databases. By integrating constraints, logical rules, and Sentence-BERT embeddings, the proposed approach generates semantically enriched schemas that ensure accuracy, coherence, and usability. Experimental evaluation highlights its adaptability across diverse datasets, demonstrating improvements in semantic precision, data integration, and metadata quality. The framework provides a practical solution for bridging schema-less and structured database workflows, enhancing interoperability and analytics capabilities. © 2013 IEEE.

关键词： Database Interoperability nosql databases RDF SBERT Schema Discovery Semantic Enrichment Transformers Unstructured Data Processing

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nosql databases: A Software Engineering Perspective

NoSQL Databases: A Software Engineering Perspective

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World Conference on Information Systems and Technologies (WorldCIST)

作者： Lourenco, Joao Ricardo Abramova, Veronika Vieira, Marco Cabral, Bruno Bernardino, Jorge FCTUC Univ Coimbra CISUC Ctr Informat & Syst Univ Coimbra P-3030290 Coimbra Portugal Polytech Inst Coimbra ISEC P-3030190 Coimbra Portugal

ISBN: (纸本)9783319164861;9783319164854

For over forty years, relational databases have been the leading model for data storage, retrieval and management. However, due to increasing needs for scalability and performance, alternative systems have started being developed, namely nosql technology. With increased interest in nosql technology, as well as more use case scenarios, over the last few years these databases have been more frequently evaluated and compared. It is necessary to find if all the possibilities and characteristics of non-relational technology have been disclosed. While most papers perform mostly performance evaluation using standard benchmarks, it is nevertheless important to notice that real world scenarios, with real enterprise data, do not function solely based on performance. In this paper, we have gathered a concise and up-to-date comparison of nosql engines, their most beneficial use case scenarios from the software engineer viewpoint, their advantages and drawbacks by surveying the currently available literature.

关键词： nosql databases Key-Value Document Store Columnar Graph Cassandra MongoDB Couchbase Software engineering Quality attributes

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A Novel Approach of Latency and Energy Efficiency Analysis of IIoT With SQL and nosql databases Communication

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IEEE ACCESS 2023年 11卷 129247-129257页

作者： Kenitar, Soukaina Bakhat Arioua, Mounir Yahyaoui, Mohammed Abdelmalek Essaadi Univ Innovants Sch Natl Sch Appl Sci Lab Ingenierie Syst Tetouan 93000 Morocco Abdelmalek Essaadi Univ Fac Sci Technol & Modeling Syst Res Unit Tetouan 93000 Morocco

Industrial Internet of Things (IIoT)-enabled production facilities generate vast amounts of data, which, if harnessed effectively, can substantially enhance manufacturing efficiency through latency reduction. The selection of the appropriate data storage technology is a pivotal consideration in achieving this objective. While prior studies have examined SQL and nosql databases in terms of latency and energy efficiency, these evaluations have not been conducted specifically within the context of IIoT. This paper aims to fill this research gap by conducting a rigorous comparison of SQL and nosql databases, focusing on their performance latency and energy efficiency when interfaced with IoT nodes. By elucidating these relationships, our research offers actionable insights that can guide IIoT-enabled manufacturing facilities in optimizing their operations. Specifically, the paper aids in the selection of the most suitable database technology, thereby contributing to latency minimization and efficiency maximization in industrial settings.

关键词： databases nosql databases Energy efficiency Protocols Industrial Internet of Things Servers Data models Low latency communication SQL nosql latency efficiency IIoT energy

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A scalable generic transaction model scenario for distributed nosql databases

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JOURNAL OF SYSTEMS AND SOFTWARE 2015年 101卷 43-58页

作者： Dharavath, Ramesh Kumar, Chiranjeev Indian Sch Mines Dept Comp Sci & Engn Dhanbad 826004 Jharkhand India

With the development of cloud computing and Internet;e-Commerce, e-Business and corporate world revenue are increasing with high rate. These areas not only require scalable and consistent databases but also require inter database transaction support. In this paper, we present, a scalable three-tier architecture along with a distributed middle-ware protocol to support atomic transactions across heterogeneous nosql databases. Our methodology does not compromise on any assumption on the accuracy of failure modalities. Hence, it is suitable for a class of heterogeneous distributed systems. To achieve such a target, our architectural model exploits an innovative methodology to achieve distributed atomic transactions. We simulate this architectural setup with different latency tests under different environments to produce reliable impact and correctness. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Atomic transaction Column-oriented distributed databases nosql databases

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Privacy-Breaching Patterns in nosql databases

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IEEE ACCESS 2021年 9卷 35229-35239页

作者： Goel, Kanika Ter Hofstede, Arthur H. M. Queensland Univ Technol Sch Informat Syst Brisbane Qld 4000 Australia Queensland Univ Technol Brisbane Qld 4000 Australia

nosql databases disrupted the database market when first introduced. Their contemporary relevance has increased further in the era of big data due to the demands placed on (real-time) analytics. nosql databases are well placed to meet these demands due to their performance, availability, scalability, and storage solutions. Unfortunately, to achieve these features, compromises have been made with respect to security and privacy. Growing community awareness and unease combined with increased legislative requirements around data privacy have made such compromises less palatable, risky, or downright unacceptable. And though there is a growing body of knowledge related to data privacy in nosql databases, it is diverse and fragmented, and does not adequately address the challenges arising from the current environment. This paper aims to systematically examine various privacy weaknesses of nosql databases in the form of patterns. The patterns are shown to manifest themselves in well-known nosql databases and this evaluation can be used for benchmarking purposes. Through a survey it is demonstrated that the patterns have been observed in practice and are perceived as relevant. The pattern collection forms a repository of knowledge that can serve as a starting point for future privacy-related research for nosql databases through its identification of key problems, trade-offs, existing solution mechanisms, and its provision of terminology.

关键词： nosql databases Data privacy databases Scalability Big Data Security Relational databases nosql databases privacy patterns

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Enhancing AI System Privacy:An Automatic Tool for Achieving GDPR Compliance in nosql databases

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Computers, Materials & Continua 2024年第7期80卷 217-234页

作者： Yifei Zhao Zhaohui Li Siyi Lv College of Cyber Science Nankai UniversityTianjin300350China

The EU’s Artificial Intelligence Act(AI Act)imposes requirements for the privacy compliance of AI *** systems must comply with privacy laws such as the GDPR when providing *** laws provide users with the right to issue a Data Subject Access Request(DSAR).Responding to such requests requires database administrators to identify information related to an individual ***,manual compliance poses significant challenges and is *** administrators need to write queries through time-consuming *** demand for large amounts of data by AI systems has driven the development of nosql *** to the flexible schema of nosql databases,identifying personal information becomes even more *** paper develops an automated tool to identify personal information that can help organizations respond to *** tool employs a combination of various technologies,including schema extraction of nosql databases and relationship identification from query *** describe the algorithm used by our tool,detailing how it discovers and extracts implicit relationships from nosql databases and generates relationship graphs to help developers accurately identify personal *** evaluate our tool on three datasets,covering different database designs,achieving an F1 score of 0.77 to *** results demonstrate that our tool successfully identifies information relevant to the data *** tool reduces manual effort and simplifies GDPR compliance,showing practical application value in enhancing the privacy performance of nosql databases and AI systems.

关键词： GDPR compliance nosql databases AI system privacy

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Enabling Attribute-Based Access Control in nosql databases

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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 2023年第1期11卷 208-223页

作者： Gupta, Eeshan Sural, Shamik Vaidya, Jaideep Atluri, Vijayalakshmi Indian Inst Technol Dept Comp Sci & Engn Kharagpur 721302 W Bengal India Rutgers State Univ Comp Informat Syst Newark NJ 07102 USA Rutgers State Univ MSIS Dept Comp Informat Syst Newark NJ 07102 USA Rutgers State Univ Ctr Informat Management Integrat & Connect CIMIC Newark NJ 07102 USA

nosql databases are being increasingly used for efficient management of high volumes of unstructured data in applications like information retrieval, natural language processing, social computing, etc. However, unlike traditional databases, data protection measures such as access control for these databases are still in their infancy, which could lead to significant vulnerabilities and security/privacy issues as their adoption increases. Attribute-based Access Control (ABAC), which provides a flexible and dynamic solution to access control, can be effective for mediating accesses in typical usage scenarios for nosql databases. In this paper, we propose a novel methodology for enabling ABAC in nosql databases. Specifically we consider MongoDB, which is one of the most popular nosql databases in use today. We present an approach to both specify ABAC access control policies and to enforce them when an actual access request has been made. MongoDB Wire Protocol is used for extracting and processing appropriate information from the requests. We also present a method for supporting dynamic access decisions using environmental attributes and handling of ad-hoc access requests through digitally signed user attributes. Results from an extensive set of experiments on the Enron corpus as well as on synthetically generated data demonstrate the scalability of our approach. Finally, we provide details of our implementation on MongoDB and share a Github repository so that any organization can download and deploy the same for enabling ABAC in their own MongoDB installations.

关键词： Access control nosql databases databases Servers Wires Protocols Organizations Attribute-based access control nosql datastores MongoDB

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Cost-aware horizontal scaling of nosql databases using probabilistic model checking

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2017年第3期20卷 2687-2701页

作者： Naskos, Athanasios Gounaris, Anastasios Katsaros, Panagiotis Aristotle Univ Thessaloniki Dept Informat Thessaloniki 54124 Greece

In this work we target horizontal scaling of nosql databases, which exhibit highly varying, unpredictable and difficult to model behavior coupled with transient phenomena during VM removals and/or additions. We propose a solution that is cost-aware, systematic, dependable while it accounts for performance unpredictability and volatility. To this end, we model the elasticity as a dynamically instantiated Markov decision process, which can be both solved and verified using probabilistic model checking. Further, we propose a range of complementary decision making policies, which are thoroughly evaluated in workloads from real traces. The evaluation provides strong insights into the trade-offs between performance and cost that our policies can achieve and prove that we can avoid both over- and under-provisioning.

关键词： Cloud elasticity Probabilistic model checking Quantitative verification Autonomic computing PRISM nosql databases

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A Comparative Analysis of Materialized Views Selection and Concurrency Control Mechanisms in nosql databases

A Comparative Analysis of Materialized Views Selection and C...

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IEEE International Conference on Cluster Computing (CLUSTER)

作者： Tapdiya, Ashish Xue, Yuan Fabbri, Daniel Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA

ISBN: (纸本)9781538623268

Relational databases are well suited for vertical scaling;however, specialized hardware can be expensive. Conversely, NewSQL and nosql data stores are designed to scale horizontally. NewSQL databases provide ACID transaction support;however, joins are limited to the partition keys, resulting in restricted query expressiveness. On the other hand, nosql databases are designed to scale out on commodity hardware;however, they are limited by slow join performance. Hence, we consider if the nosql join performance can be improved while ensuring ACID semantics and without drastically sacrificing write performance, disk utilization and query expressiveness. This paper presents the Synergy system that leverages schema and workload driven mechanisms to identify materialized views, and a specialized concurrency control system on top of a nosql database to enable scalable data management with familiar relational conventions. Synergy trades slight write performance degradation and increased disk utilization for faster join performance (compared to standard nosql databases) and improved query expressiveness (compared to NewSQL databases).

关键词： Transaction processing materialized views nosql databases performance evaluation

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