Book Chapter10.1007/978-3-319-44270-9_5
Distributed Database System (DSS) Design Over a Cloud Environment
Ahmed E. Abdel Raouf,Nagwa L. Badr,Mohamed F. Tolba +2 more
- 01 Jan 2017
- pp 97-116
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TL;DR: This research presents an enhanced allocation and replication technique that can be applied at the initial stage of the distributed database design when no information about the query execution is available and also presents different clustering techniques and their advantages and disadvantages.
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Abstract: An efficient way to improve the performance of database systems is the distributed processing. Therefore, the functionality of any distributed database system is highly dependent on its proper design in terms of adopted fragmentation, allocation, and replication methods. As a result, fragmentation including its allocation and replication is considered as a key research area in the distributed environment. Cloud computing is an emerging distributed environment that uses central remote servers and the internet to maintain data and applications. This research presents an enhanced dynamic distributed database system over a cloud environment. The proposed system allows fragmentation, allocation and replication decisions to be taken dynamically at run time. It also allows users to access the distributed database from anywhere. Moreover, this research presents an enhanced allocation and replication technique that can be applied at the initial stage of the distributed database design when no information about the query execution is available. It also presents different clustering techniques and their advantages and disadvantages.
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Citations
An optimized approach for simultaneous horizontal data fragmentation and allocation in Distributed Database Systems (DDBSs).
TL;DR: All the drawn-above strategies are elegantly combined into a single effective approach so as to an influential solution for DDBS productivity promotion is set to be markedly fulfilled.
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FRAGMENT: A Web Application for Database Fragmentation, Allocation and Replication over a Cloud Environment
Felipe Castro-Medina,Lisbeth Rodríguez-Mazahua,Asdrúbal López-Chau,María Antonieta Abud-Figueroa,Giner Alor-Hernández +4 more
TL;DR: An analysis of different methods for database fragmentation, allocation and replication and a Web application called FRAGMENT that adopts the work technique that was selected in the analysis stage, which results in the predicates that will define each fragment in a distributed environment.
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Application of data fragmentation and replication methods in the cloud: a review
Felipe Castro-Medina,Lisbeth Rodríguez-Mazahua,María Antonieta Abud-Figueroa,Celia Romero-Torres,Luis Ángel Reyes-Hernández,Giner Alor-Hernández +5 more
- 01 Feb 2019
TL;DR: A review of the literature about data fragmentation and replication methods applied in a cloud environment in the last eight years to determine if the methods take into account both techniques together, consider a cloud database, are easy to implement, are focused on improving the performance of the database, and if they provide a cost model.
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Dynamic data reallocation and replication over a cloud environment
TL;DR: Experimental results show that the proposed OFRAR Algorithm efficiently reduces the communication costs for typical access patterns, the overloads of the sites, and the frequency and time spent on fragment migration over the network sites by imposing a stricter condition for fragment reallocation and replication, resulting in a great overall improvement in the DDBS performance.
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Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review.
Felipe Castro-Medina,Lisbeth Rodríguez-Mazahua,Asdrúbal López-Chau,Jair Cervantes,Giner Alor-Hernández,Isaac Machorro-Cano +5 more
TL;DR: An in-depth review of the literature related to dynamic fragmentation of multimedia databases is provided, to identify the main challenges, technologies employed, types of fragmentation used, and characteristics of the cost model.
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References
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- 01 May 2005
TL;DR: Two dynamic replication algorithms, Simple Bottom-Up (SBU) and Aggregate Bottom- up (ABU) are proposed for the multi-tier Data Grid and comparing the two algorithms to Fast Spread dynamic replication strategy, ABU proves to be superior.
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A dynamic data replication strategy using access-weights in data grids
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TL;DR: A dynamic data replication mechanism called Latest Access Largest Weight (LALW), which selects a popular file for replication and calculates a suitable number of copies and grid sites for replication, and successfully increases the effective network usage.
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A novel dynamic network data replication scheme based on historical access record and proactive deletion
TL;DR: A proactive deletion method is applied to control the replica number to reach an optimal balance between the read access time and the write update overhead, and the results indicate that the new algorithm performs much better than those algorithms.
Experimental evaluation of dynamic data allocation strategies in a distributed database with changing workloads
Anna Brunstrom,Scott T. Leutenegger,Rahul Simha +2 more
- 02 Dec 1995
TL;DR: It is shown that dynamic reallocation can improve system throughput by a factor of two and a half for wide area networks and that individual site load must be taken into consideration when reallocating data, and a simple policy is provided that incorporates load in the reallocated decision.
Allocating fragments in distributed databases
TL;DR: This paper presents new integer programming formulations for the nonredundant version of the fragment allocation problem, extended to address problems which have both storage and processing capacity constraints; the approach is observed to be particularly effective in the presence of capacity restrictions.
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