Data access architectures for high throughput, high capacity flash memory storage systems

Koets, Michael A.; McDaniel, Larry T.; Darnell, Miles; Alvarez, Jennifer L.

doi:10.1109/aero.2017.7943824

Cited by 2 publications

(1 citation statement)

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“…Large storage of course requires a large cost and make the data access speed getting slower [3]. The problem of storage and access speed, one of them by compressing the stored information.…”

Section: Introductionmentioning

confidence: 99%

Implementation Of Huffman Bigram Compression Algorithm In .Txt Extension Files

Cipta¹,

Ikhsan²

2017

Proceedings of the 2nd Sari Mulia International Conference on Health and Sciences 2017 (SMICHS 2017)

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Objective: Implements huffman bigram algorithm for data compression process in .txt extension files. Method: This study used literature study to study books relevant to existing literatures, then experiment with data compression process using the huffman bigram algorithm. Samples of data used as experiments were created in various formats and saved in the .txt extension. Hardware and software used in this experiment is a computer with Intel pentium 4 E 2.8 Ghz Processor, 2 GB RAM, 500 GB Hard Drive, Win XP Pro edition, VB 6.0. Results: The experimental results are measured from the size of the file after compression, then compared to the size of the file before it is compressed. The duration of the compression process is also observed to assess the performance of hardware and software used. Conclusion: Huffman bigram algorithm can compress the size of file extension .txt become smaller than the previous size, more the number of the same pairs of characters in a file then the compression process will be maximized.

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Section: Introductionmentioning

confidence: 99%