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

Abstract

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.

Comparison of the RAFSI and PIV method in multi-criteria decision making: application to turning processes

“…MEREC is a weighting method that was introduced in 2021 [18]. Several studies on multi-criteria decision-making applied it to determine the weights of criteria to: determine locations to place distribution centers in logistics operations [19]; classify documents [20]. In a recent study on making multi-criteria decisions during the turning process under four methods: MAIRCA, EAMR, MARCOS and TOPSIS were also recommended that MEREC should be used to define the weights of the criteria for comparing the methods of multi-criteria decision making [21].…”

Multi-Criteria Decision Making in the Milling Process Using the PARIS Method

“…The MW weighting method was first proposed in 2021 [11]. It has been used in several studies to determine weights in MCDM [12,13]. However, this method has not been used to determine weights for the criteria of any milling process.…”