Published July 19, 2022 | Version v1

Towards Efficient Embedded Data Processing

Authors/Creators

  • 1. University of Wisconsin - Madison

Description

Embedded databases are ubiquitous; for example, every smart phone today has many embedded databases, which implies that billions of people worldwide carry dozens of databases in their phones/pockets every day. Many of these databases are powered by data processing technology that has not kept up with the pace with which the underling hardware in phones have evolved. As a result, data processing is slow, and consumes more energy than needed. The focus of this proposal is on developing new data processing technology for mobile devices that targets a 10X efficiency and performance improvements. The aims of the project go beyond more efficient data processing on phones to also include more efficient processing in embedded environments, which also includes databases running on laptops. Thus, the project aims for a broad impact on database across a spectrum of mobile devices.

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Patel_OAC_1835446.pdf

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