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Dictionary-based Compression Algorithms in Mobile Packet Core
Blekinge Institute of Technology.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

With the rapid growth in technology, the amount of data to be transmitted and stored is increasing. The efficiency of information retrieval and storage has become a major drawback, thereby the concept of data compression has come into the picture. Data compression is a technique that effectively reduces the size of the data to save storage and speed up the transmission of the data from one place to another. Data compression is present in various formats and mainly categorized into lossy compression and lossless compression where lossless compression is often used to compress the data. In Ericsson, SGSN-MME is using one of the data compression technique namely Deflate, to compress each user data independently. Due to the compression ratio between compress and decompress speed, the deflate algorithm is not optimal for the SGSN-MME’s use case. To mitigate this problem, the deflate algorithm has to be replaced with a better compression algorithm.

Place, publisher, year, edition, pages
2019. , p. 39
Keywords [en]
Data Compression, Lossless compression, LZ4, Brotli, Zstandard, Deflate, Dictionary-based compression.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-18813OAI: oai:DiVA.org:bth-18813DiVA, id: diva2:1366944
External cooperation
Ericsson
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
Supervisors
Examiners
Available from: 2019-10-31 Created: 2019-10-31 Last updated: 2019-10-31Bibliographically approved

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Dictionary-based Compression Algorithms in Mobile Packet CoreDictionary-based Compression Algorithms in Mobile Packet Core(1048 kB)8 downloads
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Blekinge Institute of Technology
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CiteExportLink to record
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  • apa
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