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Performance and Cost Optimization for Distributed Cloud-native Systems

<p> First, NoSQL data-stores provide a set of features that is demanded by high perfor?mance computing (HPC) applications such as scalability, availability and schema flexibility. High performance computing (HPC) applications, such as metagenomics and other big data systems, need to store and analyze huge volumes of semi-structured data. Such applica?tions often rely on NoSQL-based datastores, and optimizing these databases is a challenging endeavor, with over 50 configuration parameters in Cassandra alone. As the application executes, database workloads can change rapidly over time (e.g. from read-heavy to write-heavy), and a system tuned for one phase of the workload becomes suboptimal when the workload changes. </p>

  1. 10.25394/pgs.20393274.v1
Identiferoai:union.ndltd.org:purdue.edu/oai:figshare.com:article/20393274
Date28 July 2022
CreatorsAshraf Y Mahgoub (13169517)
Source SetsPurdue University
Detected LanguageEnglish
TypeText, Thesis
RightsCC BY 4.0
Relationhttps://figshare.com/articles/thesis/Performance_and_Cost_Optimization_for_Distributed_Cloud-native_Systems/20393274

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