Scalable Distributed Two-Layer Datastore Providing Data Anonymity

Krechowicz, Adam

doi:10.1007/978-3-319-34099-9_20

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…Both SD2DS layers can be divided into two separate infrastructures. Additionally, in our previous works we also utilized SD2DS in peer-to-peer networks [59], [60]. To cover all of these applications, we decided to perform all experiments on commonly available 1GiB/s Ethernet.…”

Section: Discussionmentioning

confidence: 99%

“…They allowed to develop an efficient datastore for large files [55], [56]. Apart from improving the split performance, they also allow to introduce other features like throughput scalability [57], [58] or anonymity [59], [60]. We have already applied the SD2DS concept into content search datastore [61], [62], [63] and scalable IoT system [64].…”

Section: Scalable Distributed Two-layered Datastorementioning

confidence: 99%

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Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency

2021

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Introducing a strong consistency model into NoSQL data storages is one of the most interesting issues nowadays. In spite of the CAP theorem, many NoSQL systems try to strengthen the consistency to their limits to better serve the business needs. However, many consistency-related problems that occur in popular data storages are impossible to overcome and enforce rebuilding the whole system from scratch. Additionally, providing scalability to those systems really complicates the matter. In this paper, a novel data storage architecture that supports strong consistency without loosing scalability is proposed. It provides strong consistency according to the following requirements: high scalability, high availability, and high throughput. The proposed solution is based on the Scalable Distributed Two-Layer Data Store which has proven to be a very efficient NoSQL system. The proposed architecture takes into account the concurrent execution of operations and unfinished operations. The theoretical correctness of the architecture as well as experimental evaluation in comparison to traditional mechanisms like locking and versioning is also shown. Comparative analysis with popular NoSQL systems like MongoDB and MemCached is also presented. Obtained results show that the proposed architecture presents a very high performance in comparison to existing NoSQL systems.

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Section: Discussionmentioning

confidence: 99%

Section: Scalable Distributed Two-layered Datastorementioning

confidence: 99%

Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency

2021

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“…Because of that its basic application was storing multimedia data [21], [22], [23] like photos or videos. We also successfully utilized our data store for gathering data from advanced Internet of Things system [24] and used it as a base for anonymous storing the data in the Cloud environment [25], [26].…”

Section: Scalable Distributed Two-layer Data Storementioning

confidence: 99%

Business Intelligence Platform for Big Data based on Scalable Distributed Two-Layer Data Store

Krechowicz¹,

Deniziak²

2017

Annals of Computer Science and Information Systems

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Abstract-Data mining is one of the main business intelligence technique. The volume of Big Data expands in such a way that the classical Business Intelligence methods need to be redefined. First, the organization of large data sets requires new distributed database architectures. Second, it is necessary to develop distributed data processing models that provide a high degree of scalability.In this paper we introduce fully scalable BI platform that is suitable for the most common data processing issues. The platform is based on our scalable distributed two-layer data store, which is competitive to existing NoSQL distributed data base systems. We show examples and experimental results showing advantages of our approach.

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Massive Natural Language Processing in Distributed Environment

Krechowicz¹

2023

Lecture Notes in Networks and Systems

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Scalable Distributed Two-Layer Datastore Providing Data Anonymity

Cited by 3 publications

References 19 publications

Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency

Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency

Business Intelligence Platform for Big Data based on Scalable Distributed Two-Layer Data Store

Massive Natural Language Processing in Distributed Environment

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