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Journal articles on the topic 'Database-as-a-Service (DBaaS)'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

KashifMunir, and Lawan A. Mohammed. "AUTHENTICATION SCHEME FOR DATABASE AS A SERVICE(DBAAS)." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 8, no. 1/2/3/4/5 (2023): 11. https://doi.org/10.5281/zenodo.7551252.

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IT Companies have shifted their resources to the cloud at rapidly increasing rate. As part of this trend companies are migrating business critical and sensitive data stored in database to cloud-hosted and Database as a Service (DBaaS) solutions.Of all that has been written about cloud computing, precious little attention has been paid to authentication in the cloud. In this paper we have designed a new effective authentication scheme for Cloud Database as a Service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the pro

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KashifMunir, and Lawan A. Mohammed. "AUTHENTICATION SCHEME FOR DATABASE AS A SERVICE(DBAAS)." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 8, no. 1/2/3/4/5 (2018): 01–12. https://doi.org/10.5281/zenodo.1489022.

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IT Companies have shifted their resources to the cloud at rapidly increasing rate. As part of this trend companies are migrating business critical and sensitive data stored in database to cloud-hosted and Database as a Service (DBaaS) solutions.Of all that has been written about cloud computing, precious little attention has been paid to authentication in the cloud. In this paper we have designed a new effective authentication scheme for Cloud Database as a Service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the pro

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Suruchi, Shah. "A REVIEW ON DATABASE SECURITY CHALLENGES IN CLOUD COMPUTING ENVIRONMENT." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 842–52. https://doi.org/10.5281/zenodo.13922361.

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Cloud computing is a system that offers many resources that may be customized, allowing for decentralized data management and storage. Cloud technologies have revolutionized concepts of data storage and access in organizations thus offering organizations flexible and efficient solutions. Cloud services such as DBaaS allows user to utilize sophisticated capabilities of databases without the responsibility of conventional databases. But with cloud computing, there is a great concern of security since issues such as data privacy, access control and compliance to regulatory requirements are paramo

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Fathima Sanjeetha, Mohamed Buhary, Prasanna Sumathipala, Manamalage Sandali Miurusari Siriwardane, and Rajakarunalage Jayani Prabhashini Kumari Rajakaruna. "Database-as-a-Service (DBaaS) in Cloud Computing: Security Issues and Policies." Asian Journal of Computer Science and Technology 14, no. 1 (2025): 16–20. https://doi.org/10.70112/ajcst-2025.14.1.4322.

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The growing adoption of Database-as-a-Service (DBaaS) has revolutionized data management by offering scalability, cost-efficiency, and adaptability, particularly for multi-tenant platforms. However, significant security challenges remain unresolved. This study aims to identify and analyze the security concerns associated with DBaaS and propose effective policies and techniques to mitigate these risks. A systematic review of the literature and an evaluation of real-world implementations were conducted to investigate common security vulnerabilities and potential remedies. The research highlights

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Munir, Kashif, and Lawan A. Mohammed. "Authentication Scheme for Database as a Service (DBAAS) Solutions." International Journal on Cloud Computing: Services and Architecture 8, no. 1/2/3/4/5 (2018): 11–22. http://dx.doi.org/10.5121/ijccsa.2018.8502.

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Estrela, Vania V. "Biomedical Cyber-Physical Systems in the Light of Database as a Service (DBaaS) Paradigm." Medical Technologies Journal 4, no. 3 (2020): 577. http://dx.doi.org/10.26415/2572-004x-vol4iss3p577-577.

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Background: A database (DB) to store indexed information about drug delivery, test, and their temporal behavior is paramount in new Biomedical Cyber-Physical Systems (BCPSs). The term Database as a Service (DBaaS) means that a corporation delivers the hardware, software, and other infrastructure required by companies to operate their databases according to their demands instead of keeping an internal data warehouse. Methods: BCPSs attributes are presented and discussed. One needs to retrieve detailed knowledge reliably to make adequate healthcare treatment decisions. Furthermore, these D

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König, Arnd Christian, Yi Shan, Karan Newatia, Luke Marshall, and Vivek Narasayya. "Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service." Proceedings of the VLDB Endowment 16, no. 13 (2023): 4254–67. http://dx.doi.org/10.14778/3625054.3625062.

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In Database-as-a-Service (DBaaS) clusters, resource management is a complex optimization problem that assigns tenants to nodes, subject to various constraints and objectives. Tenants share resources within a node, however, their resource demands can change over time and exhibit high variance. As tenants may accumulate large state, moving them to a different node becomes disruptive, making intelligent placement decisions crucial to avoid service disruption. Placement decisions need to account for dynamic changes in tenant resource demands, different causes of service disruption, and various pla

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Vieira, Marcelo Aires, Elivaldo Lozer Fracalossi Ribeiro, Daniela Barreiro Claro, and Babacar Mane. "Integration Model between Heterogeneous Data Services in a Cloud." JUCS - Journal of Universal Computer Science 27, no. 4 (2021): 387–412. http://dx.doi.org/10.3897/jucs.67046.

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With the growth of cloud services, many companies have begun to persist and make their data available through services such as Data as a Service (DaaS) and Database as a Service (DBaaS). The DaaS model provides on-demand data through an Application Programming Inter- face (API), while DBaaS model provides on-demand database management systems. Different data sources require efforts to integrate data from different models. These model types include unstructured, semi-structured, and structured data. Heterogeneity from DaaS and DBaaS makes it challenging to integrate data from different services

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9

Vieira, Marcelo Aires, Elivaldo Lozer Fracalossi Ribeiro, Daniela Barreiro Claro, and Babacar Mane. "Integration Model between Heterogeneous Data Services in a Cloud." JUCS - Journal of Universal Computer Science 27, no. (4) (2021): 387–412. https://doi.org/10.3897/jucs.67046.

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With the growth of cloud services, many companies have begun to persist and make their data available through services such as Data as a Service (DaaS) and Database as a Service (DBaaS). The DaaS model provides on-demand data through an Application Programming Inter- face (API), while DBaaS model provides on-demand database management systems. Different data sources require efforts to integrate data from different models. These model types include unstructured, semi-structured, and structured data. Heterogeneity from DaaS and DBaaS makes it challenging to integrate data from different services

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10

Da Silveira Segalin, Vinicius, Carina Friedrich Dorneles, and Mario Antonio Ribeiro Dantas. "DBaaS Multitenancy, Auto-tuning and SLA Maintenance in Cloud Environments: a Brief Survey." iSys - Brazilian Journal of Information Systems 11, no. 2 (2018): 30–42. http://dx.doi.org/10.5753/isys.2018.362.

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Cloud computing is a paradigm that presents many advantages to both costumers and service providers, such as low upfront investment, pay-per-use and easiness of use, delivering/enabling scalable services using Internet technologies. Among many types of services we have today, Database as a Service (DBaaS) is the one where a database is provided in the cloud in all its aspects. Examples of aspects related to DBaaS utilization are data storage, resources management and SLA maintenance. In this context, an important feature, related to it, is resource management and performance, which can be done

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Ferrari, Paolo, Emiliano Sisinni, Alessandro Depari, et al. "On the Performance of Cloud Services and Databases for Industrial IoT Scalable Applications." Electronics 9, no. 9 (2020): 1435. http://dx.doi.org/10.3390/electronics9091435.

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In the Industry 4.0 the communication infrastructure is derived from the Internet of Things (IoT), and it is called Industrial IoT or IIoT. Smart objects deployed on the field collect a large amount of data which is stored and processed in the Cloud to create innovative services. However, differently from most of the consumer applications, the industrial scenario is generally constrained by time-related requirements and its needs for real-time behavior (i.e., bounded and possibly short delays). Unfortunately, timeliness is generally ignored by traditional service provider, and the Cloud is tre

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Gahi, Youssef, Imane El Alaoui, and Mouhcine Guennoun. "An End to End Cloud Computing Privacy Framework Using Blind Processing." International Journal of Smart Security Technologies 7, no. 1 (2020): 1–20. http://dx.doi.org/10.4018/ijsst.2020010101.

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Database-as-a-service (DBaaS) is a trend allowing organizations to outsource their databases and computations to external parties. However, despite the many advantages provided by this service in terms of cost reduction and efficiency, DBaaS raises many security issues regarding data privacy and access control. The protection of privacy has been addressed by several research contributions proposing efficient solutions such as encrypted databases and blind queries over encrypted data, called blind processing. In this latter context, almost all proposed schemes consider an architecture of a sing

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Alzoubaidi, Abdel Rahman. "Private Cloud Computing Services for an Interactive Multi-Campus University." International Journal of Interactive Mobile Technologies (iJIM) 10, no. 4 (2016): 37. http://dx.doi.org/10.3991/ijim.v10i4.5931.

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<span>Cloud Computing is an environment where computing resources, such as processing power, storage, network, application, and other IT services, are provided to users as computing utility. This paper presents the university distributed databases consolidation and relocation to the cloud for the provision of Database as a Service (DBaaS), through their deployment into high availability, interactive, secure private cloud setup utilizing Al-Balqa Applied University (BAU) Private Cloud (BPC). This solution involves several transitions, and represents the main key step in BAU journey to the

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Rabelo Ferreira, Fred Eduardo Revoredo, and Robson do Nascimento Fidalgo. "A Performance Analysis of Hybrid and Columnar Cloud Databases for Efficient Schema Design in Distributed Data Warehouse as a Service." Data 9, no. 8 (2024): 99. http://dx.doi.org/10.3390/data9080099.

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A Data Warehouse (DW) is a centralized database that stores large volumes of historical data for analysis and reporting. In a world where enterprise data grows exponentially, new architectures are being investigated to overcome the deficiencies of traditional Database Management Systems (DBMSs), driving a shift towards more modern, cloud-based solutions that provide resources such as distributed processing, columnar storage, and horizontal scalability without the overhead of physical hardware management, i.e., a Database as a Service (DBaaS). Choosing the appropriate class of DBMS is a critica

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Li, Guoliang, Haowen Dong, and Chao Zhang. "Cloud databases." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3758–61. http://dx.doi.org/10.14778/3554821.3554893.

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As database vendors are increasingly moving towards the cloud data service, i.e., databases as a service (DBaaS), cloud databases have become prevalent. Compared with the early cloud-hosted databases, the new generation of cloud databases, also known as cloud-native databases, seek for higher elasticity and lower cost by developing new techniques, e.g., compute-storage disaggregation and the log is the database. To better harness the power of these cloud databases, it is important to study and compare the pros and cons of their key techniques. In this tutorial, we offer a comprehensive survey

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Sai Venkata Kondapalli. "Cloud Database Scalability: Meeting Modern Enterprise Demands." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 2278–90. https://doi.org/10.30574/wjaets.2025.15.1.0469.

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Cloud database technologies have emerged as a critical solution for enterprises grappling with explosive data growth and unpredictable workload patterns. This comprehensive article examines how modern cloud database systems address enterprise scalability challenges through dynamic resource allocation, distributed architectures, and automated management capabilities. Further, we deep dive into the core scalability technologies, including horizontal and vertical scaling approaches, automatic scaling mechanisms, and distributed database architectures that enable organizations to handle exponentia

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17

Yan, Baoyue, Xuntao Cheng, Bo Jiang, et al. "Revisiting the design of LSM-tree Based OLTP storage engine with persistent memory." Proceedings of the VLDB Endowment 14, no. 10 (2021): 1872–85. http://dx.doi.org/10.14778/3467861.3467875.

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The recent byte-addressable and large-capacity commercialized persistent memory (PM) is promising to drive database as a service (DBaaS) into unchartered territories. This paper investigates how to leverage PMs to revisit the conventional LSM-tree based OLTP storage engines designed for DRAM-SSD hierarchy for DBaaS instances. Specifically we (1) propose a light-weight PM allocator named Hal-loc customized for LSM-tree, (2) build a high-performance Semi-persistent Memtable utilizing the persistent in-memory writes of PM, (3) design a concurrent commit algorithm named Reorder Ring to aschieve lo

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18

Kazheen, S. . Muhammad, and Maseeh Yasin Hajar. "Scalable Database Solutions in the Cloud Era: Challenges and Best Practices." Engineering and Technology Journal 10, no. 05 (2025): 5192–204. https://doi.org/10.5281/zenodo.15532508.

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Cloud computing has revolutionized data management, creating demand for highly scalable and adaptive database systems. Traditional architecture has given way to cloud-native databases that offer elasticity, modularity, and real-time responsiveness. This paper reviews modern approaches to building scalable cloud databases, highlighting critical challenges and emerging solutions. Key advancements include microservices-based architecture and intelligent tuning systems like CDBTune and HUNTER, which use AI to optimize performance under dynamic workloads. Security is addressed through homomorphic e

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19

P., Raviteja, Kumar M.Uday, Parimala M., and Someswar G.Manoj. "PERFORMANCE AND COST EVALUATION OF AN ADAPTIVE ENCRYPTION ARCHITECTURE FOR CLOUD DATABASES." COMPUSOFT: An International Journal of Advanced Computer Technology 05, no. 06 (2016): 2149–55. https://doi.org/10.5281/zenodo.14799172.

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The cloud computing paradigm is successfully converging as the fifth utility, but this positive trend is partially limited by concerns about information confidentiality and unclear costs over a medium-long term. We are interested in the Database as a Service paradigm (DBaaS) that poses several research challenges in terms of security and cost evaluation from a tenant"s point of view. Most results concerning encryption for cloud-based services are inapplicable to the database paradigm. Other encryption schemes, which allow the execution of SQL operations over encrypted data, either suffer from

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20

Banothu, Srinu, Janardhan G, Sirisha G, Srinivasulu Shepuri, Madhavi Karnam, and Balaram Allam. "A Secure Data Storage Approach for Online Examination Platform using Cloud DBAAS Service." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3715–24. http://dx.doi.org/10.12694/scpe.v25i5.3113.

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For the time being, many government or private organizations for recruitment of staff or educational institutions moving towards online based tests. The online examination system is a software application used for conducting examination using computer systems. It helps to the recruitment agency or any govt. or private organizations for conducting any job recruitment examinations transparently. Due to this system results are processed without delay and efficiently evaluated to assess the candidate’s abilities. But the biggest challenge for online examination system is data integrity, security a

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21

Desai, Janvi. "Self-Optimizing Database Architecture." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 1675–78. http://dx.doi.org/10.22214/ijraset.2021.39071.

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Abstract: Over the most recent decades, analysts and database service providers have fabricated devices to help DBAs (Database Administrators) in various parts of framework tuning and the actual design of the database. Most of this past work, regardless, is fragmented on the grounds that it expects people to come up with an official agreement or judgement about any modifications to the data in the database and fix issues after they happen rather than preventing such cases from taking place or adjusting to these changes automatically. What is required for a really "self-driving" database manage

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Mr.Satish.C.Cholke and Prof.S.B.Natikar. "NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCESS OF ENCRYPTED CLOUD DATABASES USING DBAAS." IJIERT - International Journal of Innovations in Engineering Research and Technology ICITDCEME-15 (December 20, 2015). https://doi.org/10.5281/zenodo.1473219.

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<strong>Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to exec

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Ferrari, Paolo, Emiliano Sisinni, Alessandro Depari, et al. "On the Performance of Cloud Services and Databases for Industrial IoT Scalable Applications." September 3, 2020. https://doi.org/10.3390/electronics9091435.

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In the Industry 4.0 the communication infrastructure is derived from the Internet of Things (IoT), and it is called Industrial IoT or IIoT. Smart objects deployed on the field collect a large amount of data which is stored and processed in the Cloud to create innovative services. However, differently from most of the consumer applications, the industrial scenario is generally constrained by time-related requirements and its needs for real-time behavior (i.e., bounded and possibly short delays). Unfortunately, timeliness is generally ignored by traditional service provider, and the Cloud is tre

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24

"Data Security for Outsourced Cloud Datausing HASBE Scheme and RSA Algorithm." International Journal of Innovative Technology and Exploring Engineering 8, no. 12S (2019): 705–8. http://dx.doi.org/10.35940/ijitee.l1167.10812s19.

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Cloud computing (CC) is the expertise over which every person is capable of sharing the reserves, amenities, and evidence amongst the individuals as a result of harnessing the internet in link. Subsequently, protection is a key concern on the facts pooled by means of the internet. In CC a numerous security issues prone to occur that includes confidentiality, integrity, authentication and/or thin well-honed edit control (TWHEC). In this research an innovative security replica has been aforethought. The design stipulates an approach across which secure communication besides data hiding from unau

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Liao, Weidong, Annus Ashiq, and Osman Guzide. "System Administration and Database Administration in Cloud Computing Era." Proceedings of the West Virginia Academy of Science 91, no. 1 (2019). http://dx.doi.org/10.55632/pwvas.v91i1.506.

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The ever-changing nature of IT demands a changing role for both system administrators and database administrators. Being system admin personnel will require more knowledge, broader skillset, and more tools on hand to be able to adapt to the cloud computing culture. The cloud computing has changed the way for IT Operations. The future system administrator will thus have to help configure, implement and manage the applications that run on cloud platforms. The same thing happens to database administrators as well. The role of DBAs will shift to cloud DBAs, and adding to their responsibilities wil

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