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Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

Since we’re talking about mobile applications, we have to assume a changing environment over time, including the possibility of losing internet connectivity altogether. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.).

Mobile 104
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

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Are Computer Architects to Blame for the State of Security Today?

ACM Sigarch

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. Acceleration—Adding hardware support to reduce the runtime overheads of security features. hardware support for malware detection/prevention).

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12 different types of mobile testing with real-life examples

Testsigma

Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. Also, how to test the hardware of the mobile phone itself, is it supporting all the software as it should? Let us have a look at the most popular types of mobile testing for applications and hardware.

Mobile 82
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Eye-Tracking In Mobile UX Research

Smashing Magazine

In the late 1990s, marketing and advertising agencies saw the potential of eye-tracking for the Internet and started using the technology to analyze how people consume content online. For instance, Nielsen’s research conducted in 2006 showed that people read content on the Internet in an F-shaped pattern.

Mobile 111
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Often it is hidden from the consumer’s eye as it empowers applications rather than being the end game but analytics is becoming more prevalent.

Analytics 135
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?