Abstract: Data compression is critical for efficient data operations such as migration, backup, and analytical processing. While there has been significant research into compression techniques for ...

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Abstract: The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, as well as the capability to meet different accuracy demands.

In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & manipulation of large, multidimensional arrays. We begin by exploring the basics, ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

The new data compression layer may address centralization risks in the crypto industry, such as the recent outage by Amazon Web Services. Vanar Chain, a layer-1 blockchain network, has launched a new ...

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 ...

In the ever-evolving landscape of data centers, Total Cost of Ownership (TCO) remains a critical metric. It encompasses all costs associated with data center infrastructure throughout its lifecycle, ...

LZO 2.10 source + prebuilt binaries -- a real-time data compression library. Latest release (2.1.0) from www.lzop.org ...