A Flexible Hybrid Approach to Data Replication in Distributed Systems

Bokhari, Syed Mohtashim Abbas; Theel, Oliver

doi:10.1007/978-3-030-52249-0_13

Cited by 8 publications

(4 citation statements)

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“…On that basis, data with the greatest capability of replication gain higher scores, which advantages them in the replication procedure [ 12 ]. Data replication is used as an efficient method that reduces retrieval time and, consequently, energy consumption in the cloud [ 13 ]. If the required files are inaccessible locally, they will be received from places far away, which is highly time-consuming.…”

Section: - Review Of the Literaturementioning

confidence: 99%

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

2021

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As the amounts of data and use of distributed systems for data storage and processing have increased, reducing the number of replications has turned into a crucial requirement in these systems, which has been addressed by plenty of research. In this paper, an algorithm has been proposed to reduce the number of replications in big data transfer and, eventually to lower the traffic load over the grid by classifying data efficiently and optimally based on the sent data types and using VIKOR as a method of multivariate decision-making for ranking replication sites. Considering different variables, the VIKOR method makes it possible to take all the parameters effective in the assessment of site ranks into account. According to the results and evaluations, the proposed method has exhibited an improvement by about thirty percent in average over the LRU, LFU, BHR, and Without Rep. algorithms. Furthermore, it has improved the existing multivariate methods through different approaches to replication by thirty percent, as it considers effective parameters such as time, the number of replications, and replication site, causing replication to occur when it can make an improvement in terms of access.

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Section: - Review Of the Literaturementioning

confidence: 99%

Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments

2021

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“…These compromises could be highly application-specific, thereby resulting in many different scenarios of suitable choices, which will be discussed briefly in the next section and, in detail, in Chapter 4. This requires designing of new optimized DRS [10]. As for this, the research intends to provide application-optimized DRSs to fulfill such specified scenarios.…”

Section: Motivationmentioning

confidence: 99%

“…It demands the designing of new replication strategies that are optimized [10]. One way of it is to use existing strategies to design new ones, but the question arises, how to construct unknown DRSs out of the existing ones, and what are the hindrances in doing so?…”

Section: Problem Statementmentioning

confidence: 99%

“…This dissertation has resulted in six scientific publications but has the potential to produce many more (as mentioned in the future work of this dissertation in Section 6.2), which cannot be fulfilled at the moment due to time restrictions. My dissertation work is initiated by a basic idea "A Flexible Hybrid Approach to Data Replication in Distributed Systems", which is published as a Springer Book Chapter in Advances in Intelligent Systems and Computing (AISC) [10], and presented at the Computing Conference (SAI), London in 2020. This paper manually combines, models cutting-edge replication strategies as unified voting structures, evaluates their performances, and compares the results with contemporary strategies.…”

Section: Dissertation Outlinementioning

confidence: 99%

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