Optimized Hybrid Framework Versus Spark and Hadoop: Performance Analysis for Big Data Applications in Vehicular Engine Systems

The rapid growth of data generated by vehicular engine systems has necessitated the development of efficient frameworks for real-time big data processing. Existing solutions such as Apache Hadoop and Apache Spark, have been widely adopted in various domains due to their respective strengths; Hadoop&...

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Hlavní autoři:	Isinka Joseph Chukwudi, Md. Arafaturh Rahman, Ali H. Alenezi, Hai Tao, Prashant Pillai
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Big data processing vehicular engine data Apache Spark Apache Hadoop data scalability data management frameworks
On-line přístup:	https://ieeexplore.ieee.org/document/11153845/
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