Based on the Correlation of the File Dynamic Replication Strategy in Multi-Tier Data Grid

Journal of Systems and Software

2015

Section: A Pre-fetching Based Dynamic Data Replication Algorithm (Pddra)mentioning

confidence: 99%

“…Otherwise, a set of candidate files for deletion will be selected according to their weight (cf. lines [6][7][8][9][10][11][12][13][14][15][16].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

A data mining correlated patterns-based periodic decentralized replication strategy for data grids

Journal of Systems and Software

2015

“…The major idea of the BSCA strategy proposed in [8,9] is to pre-fetch frequently accessed files and their associated files to the location near the access site. It finds out the correlation between the data files through data access number and data access serial.…”

Section: Based On Support and Confidence Dynamic Replication Algorithmentioning

confidence: 99%

A Critical Survey of Data Grid Replication Strategies Based on Data Mining Techniques

Procedia Computer Science

2015

Replication is one common way to effectively address challenges for improving the data management in data grids. It has attracted a lot of work and many replication strategies have therefore been proposed. Most of these strategies consider a single file-based granularity and do not take into account file access patterns or possible file correlations. However, file correlations become an increasingly important consideration for performance enhancement in data grids. In this regard, the knowledge about file correlations can be extracted from historical and operational data using the techniques of the data mining field. Data mining techniques have proved to offer a powerful tool facilitating the extraction of meaningful knowledge from large data sets. As a consequence of the convergence of data mining and data grid, mining grid data is an interesting research field which aims at analyzing grid systems with data mining techniques in order to efficiently discover new meaningful knowledge to enhance data management in data grids. More precisely, in this paper, the extracted knowledge is used to enhance replica management. Gaps in the current literature and opportunities for further research are presented. In addition, we propose a new guideline to data mining application in the context of data grid replication strategies. To the best of our knowledge, this is the first survey mainly dedicated to data grid replication strategies based on data mining techniques.

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“…6) Based on support and confidence dynamic replication algorithm in multi-tier data grid (BSCA) [24]: The major idea of the algorithm is to pre-fetch frequently accessed files and their associated files to the location near the access site. It finds out the correlation between the data files through data access number and data access serial.…”

Section: ) Predictive Hierarchicalmentioning

confidence: 99%

New Replication Strategy Based on Maximal Frequent Correlated Pattern Mining for Data Grids

2014 15th International Conference on Parallel and Distributed Computing, Applications and Technologies

2014