Efficiency Analysis of Compression Software (WINRAR and 7-Zip) Across Diverse Data Types on Windows 11 and Ubuntu 23.10
DOI:
https://doi.org/10.54209/infosains.v13i03.3505Keywords:
Compression Software, WINRAR, 7-Zip, Data Types, Operating SystemsAbstract
This paper presents a comprehensive analysis of the performance and efficiency of two widely used compression software, WINRAR and 7-Zip, across various data types. The study focuses on evaluating their effectiveness on different operating systems, specifically Windows 11 and Ubuntu 23.10. The analysis encompasses considerations such as compression ratios, resource utilization, and processing times. WINRAR and 7-Zip are examined in diverse scenarios, including the compression of text files (.txt), image files (.png), audio files (.flac), and video files (.mp4). The study reveals notable variations in compression outcomes influenced by intrinsic complexities of each file format. Moreover, the investigation extends beyond the initially studied operating systems, suggesting potential applications on other platforms like Kali Linux. The findings contribute insights into the nuanced performance of compression software across varied data types and operating environments, facilitating informed decision-making for users seeking optimal compression solutions.
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References
A. Khodadadi and M. Teimouri, "Dataset for file fragment classification of audio file formats", BMC Research Notes, vol. 12, no. 1, 2019. https://doi.org/10.1186/s13104-019-4856-1
R. Cerda‐Cosme and E. Méndez, "Analysis of shared research data in spanish scientific papers about covid‐19: a first approach", Journal of the Association for Information Science and Technology, vol. 74, no. 4, p. 402-414, 2022. https://doi.org/10.1002/asi.24716
R. Fakouri and M. Teimouri, "Dataset for file fragment classification of image file formats", BMC Research Notes, vol. 12, no. 1, 2019. https://doi.org/10.1186/s13104-019-4812-0
M. Allendorf and C. Melius, "Bac-mp4 predictions of thermochemistry for gas-phase tin compounds in the sn−h−c−cl system", The Journal of Physical Chemistry A, vol. 109, no. 22, p. 4939-4949, 2005. https://doi.org/10.1021/jp040625+
R. Beucher, "Configuring and installing petsc for underworld",, 2022. https://doi.org/10.59350/v12vh-c2r96
O. Fernandes, N. Fernandes, F. Júnior, A. Leão, & M. Costa, "Symbolic consumption and representation of self: a study of interactions in a virtual community of ubuntu-br users", Cadernos Ebape Br, vol. 17, no. spe, p. 717-731, 2019. https://doi.org/10.1590/1679-395174446x
M. Abubakre, I. Faik, & M. Mkansi, "Digital entrepreneurship and indigenous value systems: an ubuntu perspective", Information Systems Journal, vol. 31, no. 6, p. 838-862, 2021. https://doi.org/10.1111/isj.12343
S. Nxumalo and D. Mncube, "Using indigenous games and knowledge to decolonise the school curriculum: ubuntu perspectives", Perspectives in Education, vol. 36, no. 2, p. 103-118, 2018. https://doi.org/10.18820/2519593x/pie.v36i2.9
B. Achmad, I. Nur, & K. Siti, "Development of linux ubuntu open source distribution based open source distribution system to minimize students 'software study",, 2019. https://doi.org/10.2991/icesre-18.2019.63
A. Ogunranti, "Localizing the ungps – an afrocentric approach to interpreting pillar ii", Business and Human Rights Journal, vol. 8, no. 1, p. 66-84, 2022. https://doi.org/10.1017/bhj.2022.35
A. Younge, R. Henschel, J. Brown, G. Laszewski, J. Qiu, & G. Fox, "Analysis of virtualization technologies for high performance computing environments",, 2011. https://doi.org/10.1109/cloud.2011.29
T. Bell and S. Zhang, "Multiwavelength depth encoding method for 3d range geometry compression", Applied Optics, vol. 54, no. 36, p. 10684, 2015. https://doi.org/10.1364/ao.54.010684
J. Konstantinides and I. Andreadis, "Performance analysis for canonical huffman coding with fixed window size", Electronics Letters, vol. 52, no. 7, p. 525-527, 2016. https://doi.org/10.1049/el.2015.3299
P. Ou and S. Zhang, "Natural method for three-dimensional range data compression", Applied Optics, vol. 52, no. 9, p. 1857, 2013. https://doi.org/10.1364/ao.52.001857Rationale for Enhanced Compression: This approach aims to push the boundaries of each compression tool's capabilities, providing insights into their performance when tasked with achieving the utmost compression ratios.
M. Rahman, A. Tutul, S. Abdullah, & M. Bayzid, "Chapao: likelihood and hierarchical reference-based representation of biomolecular sequences and applications to compressing multiple sequence alignments", Plos One, vol. 17, no. 4, p. e0265360, 2022. https://doi.org/10.1371/journal.pone.0265360
V. Nguyen, H. Nguyen, H. Duong, & V. Snasel, "n-gram-based text compression", Computational Intelligence and Neuroscience, vol. 2016, p. 1-11, 2016. https://doi.org/10.1155/2016/9483646
B. Wijaya, S. Siboro, M. Brutu, & Y. Lase, "Application of huffman algorithm and unary codes for text file compression", Sinkron, vol. 7, no. 3, p. 1000-1007, 2022. https://doi.org/10.33395/sinkron.v7i3.11567
A. Tanjung and S. Nasution, "Comparison analysis with huffman algorithm and goldbach codes algorithm in file compression text using the method exponential comparison", The Ijics (International Journal of Informatics and Computer Science), vol. 4, no. 1, p. 29, 2020. https://doi.org/10.30865/ijics.v4i1.1387
A. Fariña, G. Navarro, & J. Paramá, "Boosting text compression with word-based statistical encoding", The Computer Journal, vol. 55, no. 1, p. 111-131, 2011. https://doi.org/10.1093/comjnl/bxr096
G. Navarro and J. Tarhio, "Lzgrep: a boyer-moore string matching tool for ziv-lempel compressed text", Software Practice and Experience, vol. 35, no. 12, p. 1107-1130, 2005. https://doi.org/10.1002/spe.663
