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Review of Grid-Cloud Distributed Environments: Fusion Fault Tolerance Replication Model and Fragmentation
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Author(s): Dharmesh Dhabliya (Vishwakarma Institute of Information Technology, India), Ananta Ojha (Jain University, India), Amandeep Gill (Vivekananda Global University, India), Asha Uchil (ATLAS SkillTech University, India), Anishkumar Dhablia (Altimetrik India Pvt. Ltd., India), Jambi Ratna Raja Kumar (Genba Sopanrao Moze College of Engineering, India), Ankur Gupta (Vaish College of Engineering, India)and Sabyasachi Pramanik (Haldia Institute of Technology, India)
Copyright: 2024
Pages: 16
Source title:
Serverless Computing Concepts, Technology and Architecture
Source Author(s)/Editor(s): Rajanikanth Aluvalu (Chaitanya Bharathi Institute of Technology, India)and Uma Maheswari V. (Chaitanya Bharathi Institute of Technology, India)
DOI: 10.4018/979-8-3693-1682-5.ch010
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Abstract
Users who may be geographically distant from organizations must be provided with up-to-date info. Replication is one approach to make such data accessible. The process of duplicating and maintaining database items across many databases is known as distributed database replication. Distributed databases safeguard application availability while providing quick local access to shared data. Distributed databases are often divided up into pieces or replica divisions. In distributed databases, fragmentation is advantageous for utilization, effectiveness, parallelism, and security. Locality of reference is strong if data items are found in the location where they are utilized the most. Users may still query or edit the remaining pieces even if one is unavailable. It's critical to manage fragmented data replication availability even in the event of a failure. Failure scenarios include a server that responds improperly or returns an inaccurate value. Enabling fault tolerance and data management systems like SAS, Oracle, and NetApp is the only way to fix these errors. This study reviews the research on data replication and fragmentation techniques used in cloud environments. It is easy to implement, takes into consideration cloud databases, considers both fragmentation and replication strategies, and is focused on enhancing database performance. All the necessary information to implement the approach is included in the chapter.
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