Skripsi

ANALISIS KINERJA HADOOP DALAM PENGOLAHAN BIG DATA PADA CLOUD COMPUTING MENGGUNAKAN METODE BENCHMARK

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Penilaian

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Big Data processing in Cloud Computing requires efficient frameworks such as Hadoop and Spark. This study analyzes their performance using the benchmark method with the Terasort workload, evaluating execution time, throughput, and CPU and memory usage. The testing was conducted using the Terasort workload on a cloud infrastructure based on VirtualBox in cluster mode. The results show that Spark outperforms Hadoop, with execution time up to 4.7 times faster for certain workloads and 92.25% higher throughput compared to Hadoop. However, Spark consumes 10% more memory than Hadoop. On the other hand, Hadoop demonstrates better resource efficiency and greater stability under heavy workloads. This study provides insights for users in selecting the appropriate Big Data processing platform based on specific needs. By understanding the advantages and limitations of each framework, the implementation of Hadoop and Spark can be optimized to enhance efficiency in large-scale data processing.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001485	T168680	T1686802025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1686802025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2025

Collation

xiv, 93 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

program komputer

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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