An Efficient Hardware Accelerator For Lossless Data Compression

Mahmoud, Adel; Medhat, Samuel; Maged, Mark; Mohamed, Othman; Karam, Reham; El-Kharashi, M. Watheq

doi:10.1109/iccspa55860.2022.10019048

2022 5th International Conference on Communications, Signal Processing, and Their Applications (ICCSPA) 2022

DOI: 10.1109/iccspa55860.2022.10019048

|View full text |Cite

An Efficient Hardware Accelerator For Lossless Data Compression

Adel Mahmoud

Samuel Medhat

Mark Maged

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hardware and software considerations: Hardware and software platforms play a vital role in compression [83]. Understanding their capabilities and limitations is crucial to selecting and implementing compression techniques.…”

mentioning

confidence: 99%

“…Understanding their capabilities and limitations is crucial to selecting and implementing compression techniques. Many modern embedded systems offer hardware acceleration for selected data compression methods [84], which significantly improves their performance [83,85]. Some software platforms also implement data compression algorithms on the lower layers of their architecture, which makes their use easier and more efficient.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Prokop,

Bień,

Barczentewicz

2023

Energies

View full text Add to dashboard Cite

Significant amounts of data need to be transferred in order to optimize the operation of power grids. The development of advanced metering and control infrastructure ensures a growth in the amount of data transferred within smart grids. Data compression is a strategy to reduce the burden. This paper presents current challenges in the field of time-series data compression. This paper’s novel contribution is the division of data in smart grids to real-time data used for control purposes and big data sets used for non-time-critical analysis of the system. Both of these two applications have different requirements for effective compression. Currently used algorithms are listed and described with their advantages and drawbacks for both of these applications. Details needed for the implementation of an algorithm were also provided. Comprehensive analysis and comparison are intended to facilitate the design of a data compression method tailored for a particular application. An important contribution is the description of the influence of data compression methods on cybersecurity, which is one of the major concerns in modern power grids. Future work includes the development of adaptive compression methods based on artificial intelligence, especially machine learning and quantum computing. This review will offer a solid foundation for the research and design of data compression methods.

show abstract

mentioning

confidence: 99%

mentioning

confidence: 99%

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Prokop,

Bień,

Barczentewicz

2023

Energies

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An Efficient Hardware Accelerator For Lossless Data Compression

Cited by 1 publication

References 9 publications

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Contact Info

Product

Resources

About