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Physical Sciences and Mathematics Commons

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Master's Projects

Theses/Dissertations

Benchmarking

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Full-Text Articles in Physical Sciences and Mathematics

Benchmarking Mongodb Multi-Document Transactions In A Sharded Cluster, Tushar Panpaliya May 2020

Benchmarking Mongodb Multi-Document Transactions In A Sharded Cluster, Tushar Panpaliya

Master's Projects

Relational databases like Oracle, MySQL, and Microsoft SQL Server offer trans- action processing as an integral part of their design. These databases have been a primary choice among developers for business-critical workloads that need the highest form of consistency. On the other hand, the distributed nature of NoSQL databases makes them suitable for scenarios needing scalability, faster data access, and flexible schema design. Recent developments in the NoSQL database community show that NoSQL databases have started to incorporate transactions in their drivers to let users work on business-critical scenarios without compromising the power of distributed NoSQL features [1].

MongoDB is …


Benchmarking Optimization Algorithms For Capacitated Vehicle Routing Problems, Pratik Surana May 2019

Benchmarking Optimization Algorithms For Capacitated Vehicle Routing Problems, Pratik Surana

Master's Projects

The Vehicle Routing Problem (VRP) originated in the 1950s when algorithms and mathematical approaches were applied to find solutions for routing vehicles. Since then, there has been extensive research in the field of VRPs to solve real-life problems. The process of generating an optimal routing schedule for a VRP is complex due to two reasons. First, VRP is considered to be an NP-Hard problem. Second, there are several constraints involved, such as the number of available vehicles, the vehicle capacities, time-windows for pickup or delivery etc.

The main goal for this project was to compare different optimization algorithms for solving …


Benchmarking Scalability Of Nosql Databases For Geospatial Queries, Yuvraj Singh Kanwar May 2019

Benchmarking Scalability Of Nosql Databases For Geospatial Queries, Yuvraj Singh Kanwar

Master's Projects

NoSQL databases provide an edge when it comes to dealing with big unstructured data. Flexibility, agility, and scalability offered by NoSQL databases become increasingly essential when dealing with geospatial data. The proliferation of geospatial applications has tremendously increased the variety, velocity, and volume of data that the data stores must manage. Such characteristics of big spatial data surpassed the capability and anticipated use cases of relational databases. Because we can choose from an extensive collection of NoSQL databases these days, it becomes vital for organizations to make an informed decision. NoSQL Database benchmarks provide system architects, who shoulder a considerable …