Handling Fragmented Database Replication through Binary Vote Assignment Grid Quorum

Abstract

Problem statement:Organizations critically needed to supply recent data to users who may be geographically remote, while at the same time handle a volume request of distributed data around multiple sites. The storage, availability and consistency are important issues to be addressed in order to allow distributed users efficiently and safely access data from many different sites. Approach: Data replication is a way to deal with this problem since it provides user with fast, local access to shared data and protects availability of applications because alternate data access options exist. Handling fragmented database replication becomes challenging issue to administrator since the distributed database was scattered into split replica partitions or fragments. Results: This study presented a new mechanism on how to handle the fragmented database replication through the Binary Vote Assignment on Grid Quorum (BVAGQ). We address how to build reliable system by using the proposed BVAGQ for distributed database fragmentation. Conclusion: The result shows that managing fragmented database replication and transaction through proposed BVAGQ is able to preserve the data consistency.

Fragmentation Techniques for Ideal Performance in Distributed Database – A Survey

“…An innovative Binary Vote Assignment on Grid Quorum method has been offered to handle and put up with the replication of fragmented database in Fauzi et. al (2011).…”

“…(2015). Next, some fragmentation techniques are also being combined with allocation and replication techniques for distributed database systems in order to improve the performance of DDS as in Fauzi et al (2011), Abdalla and Amer (2012), Raouf et. al.…”

“…The fragmentation of data is an essential feature of the distributed database system (Fodor and Lungu, 2016). Fragmentation in the distributed databases is very beneficial in terms usage, as typically applications are studying with only some of the relationships rather than the whole relationship (Fauzi et. al, 2011).…”

“…This will also be beneficial for security as data is not needed for local non-stored applications. Thus, illegal users would not be able to access this (Fauzi et. al, 2011).…”

Solving Two Deadlock Cycles through Neighbor Replication on Grid Deadlock Detection Model

“…Besides that, replication method can increase the system scalability, performance and fault tolerance (Fauzi et al, 2011;Mohammed, 2007). To speed up data access for data grid systems, data can be replicated in multiple locations, so that a user can access the data from nearby locations (Sashi and Thanamani, 2010).…”