View Proposal
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Proposer
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Jeevani Goonetillake
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Title
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Dynamic Data Sharding Strategies in Distributed SQL Databases
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Goal
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Description
- This research delves into exploring dynamic sharding techniques within distributed SQL database systems.
It focuses on investigating strategies that intelligently distribute data across multiple shards or partitions
based on dynamic factors such as data access patterns, workload changes, and resource availability.
By analysing the sharding configuration, this research mainly aims to explore the performance,
scalability, and resource utilization of distributed SQL databases. The outcome of the research will be important for
applications with varying data access requirements and evolving workloads, enabling efficient data management and retrieval
while maintaining data integrity in complex distributed environments.
- Resources
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Background
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Url
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Difficulty Level
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Moderate
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Ethical Approval
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None
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Number Of Students
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1
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Supervisor
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Jeevani Goonetillake
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Keywords
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Science in Computing (2 Years)