Scalable Database Replication

Cloud Computing is a new computing model that distributes the computation on a resource pool. The need for a scalable database capable of expanding to accommodate growth has increased with the growing data in web world. More familiar Cloud Computing vendors such as Amazon Web Services, Microsoft, Google, IBM and Rackspace offer cloud based Hadoop and NoSQL database platforms to process Big Data applications. Variety of services are available that run on top of cloud platforms freeing users from the need to deploy their own systems. Nowadays, integrating Big Data and various cloud deployment models is major concern for Internet companies especially software and data services vendors that are just getting started themselves. This chapter proposes an efficient architecture for integration with comprehensive capabilities including real time and bulk data movement, bi-directional replication, metadata management, high performance transformation, data services and data quality for customer and product domains.

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A scalable database of organ doses for common diagnostic fluoroscopy examinations of children: procedures of current practice at the University of Florida

Physics in Medicine and Biology ◽

10.1088/1361-6560/ab1bad ◽

2019 ◽

Vol 64 (13) ◽

pp. 135023 ◽

Cited By ~ 1

Author(s):

Emily L Marshall ◽

Dhanashree Rajderkar ◽

Justin L Brown ◽

Elliott J Stepusin ◽

David Borrego ◽

...

Keyword(s):

Current Practice ◽

Organ Doses ◽

University Of Florida ◽

Scalable Database ◽

The University

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Elastic Database Replication in the Cloud

Algorithms and Architectures for Parallel Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-27140-8_46 ◽

2015 ◽

pp. 667-681 ◽

Cited By ~ 1

Author(s):

Xianxia Zou ◽

Jiuhui Pan ◽

Wei Du ◽

Shuhong Chen

Keyword(s):

Database Replication

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Database Replication Using Epidemic Communication

Euro-Par 2000 Parallel Processing - Lecture Notes in Computer Science ◽

10.1007/3-540-44520-x_55 ◽

2000 ◽

pp. 427-434 ◽

Cited By ~ 5

Author(s):

JoAnne Holliday ◽

Divyakant Agrawal ◽

Amr El Abbadi

Keyword(s):

Database Replication ◽

Epidemic Communication

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Managing Fragmented Database Replication for Mygrants Using Binary Vote Assignment on Cloud Quorum

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.490-491.1342 ◽

2014 ◽

Vol 490-491 ◽

pp. 1342-1346 ◽

Cited By ~ 2

Author(s):

Ainul Azila Che Fauzi ◽

A. Noraziah ◽

Wan Maseri Binti Wan Mohd ◽

A. Amer ◽

Tutut Herawan

Keyword(s):

Distributed Database ◽

Database System ◽

Data Consistency ◽

Research Network ◽

Transaction Management ◽

Database Replication ◽

Distributed Database System ◽

Usage Efficiency

Replication in distributed database is the process of copying and maintaining database objects in multiple databases that make up a distributed database system. In this paper, we will manage fragmented database replication and transaction management for Malaysian Greater Research Network (MyGRANTS) using a new proposed algorithm called Binary Vote Assignment on Cloud Quorum (BVACQ). This technique will combine replication and fragmentation. Fragmentation in distributed database is very useful in terms of usage, efficiency, parallelism and also for security. This strategy will partition the database into disjoint fragments. The result shows that managing replication and transaction through proposed BVACQ able to preserve data consistency. It also increases the degrees of parallelism. This is because by using fragmentation, replication and transaction can be divided into several subqueries that operate on the fragments.

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