The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

Many of today's embedded systems are providing more sophisticated solutions to a wide variety of applications and industries. With this increase in sophistication, there is a corresponding increase in ...

Data compression is critical to cloud and data streaming applications by reducing data transfer times and storage utilization. But compressing and decompressing data consumes processor resources and ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

Lossless or lossy: If you have big data, know what type of compression to use Your email has been sent Illustration: Lisa Hornung/iStockPhoto Must-read big data coverage What Powers Your Databases?

Facebook is open sourcing a new compression algorithm called Zstandard that aims to replace the common technology behind the Zip file format. The most common algorithm behind the Zip file format is ...