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The Internet of Things is everywhere, from the connected home to the connected car, from smart watches to smart glasses, from beacons to smart thermostats. In this session we will provide an updated view of the IOT space and we will show you how Pacific technology like Node.js and Rollbase can be used to build IOT applications.
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Load testing approaches of the past support application delivery of the past. Times have changed. Today’s leading companies do more testing in less time with higher coverage of their web and mobile applications, everyday.
In this webinar you’ll learn:
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- How to do front-to-back performance testing for mobile and web apps
- How to deploy web and mobile load tests with global scale and distribution
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Telecom and cable operators have a large role to play here - they too can extend, build or resell WebRTC services, sometimes standalone, and sometimes linked to their existing network infrastructure and IMS platforms.
Yet WebRTC highlights the organisational challenges for operators - reconciling different business units & service domains, and changing their culture to embrace developers, design-led mentality & more acceptance of risk. But with 6bn+ WebRTC devices expected to be in the market by 2019, telcos have a huge addressable market.
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Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Here is one reason why a mobile browser isn’t the same as a desktop browser….(on Android) the “web browser” is a Java App calling a C/C++ app which calls another C app…
Different bandwidthDifferent latencyDifferent network layer entirely (Backhaul probably isn’t even IP-based…)
And if you throw in CyanogenMod you can get even better performance…
And if you throw in CyanogenMod you can get even better performance…
What type of network is it connected to?
I was on the Thames Clipper on my way back from the O2 after a concert. So I ran some automated testing and this graphs my results… Average32.859Median12.071Std Deviation45.691Min9.275Max156.520
Test MarkerTime (Sec)Signal Strength (ASU)19.2753212.681339.68274156.52018512.071969.28513752.86814810.1849923.1658Average32.859Median12.071Std Deviation45.691
“Snakes… on a motherf**king plane!” Network latency varies enormously…. What can we see here?The connection is relatively good at sending and receiving data. The green crosses represent packets that were actually lost which only happened for 75 of 1000.There are some crazy-high round trip times. The minimum round trip time was 107ms (which would put my home cable connection to shame) and even the median is pretty awesome at 239ms but the maximum was a whopping 20226 ms - that's more than 20 seconds!
1.JavaScript timing e.g. WebTuna, Boomerang, Episodes2.Browser plug-in e.g. HTTPwatch3.Custom browser variant e.g. A Webkit-build (often used as a monitoring agent)4.Proxy timing e.g. Fiddler proxy5.Web Server Module e.g. APM solutions like AppDynamics, Dynatraceetc6.Network-level e.g. Atomic Labs Pion, Tealeaf, Coradiant
2.Browser plug-in e.g. HTTPwatchBut only some mobile browsers have a plug-in architecture… and exactly what timing info that would provide… I have no idea…
4.Proxy timing e.g. Fiddler proxy or Charles ProxyObserver Affect #1 = http://www.fiddler2.com/fiddler/perf/PerfMeasure.aspObserver Affect #2= http://insidehttp.blogspot.com/2005/06/using-fiddler-for-performance.html
5.Web Server Module e.g. APM solutions like AppDynamics, Dynatraceetc
1.JavaScript timing e.g. WebTuna, Boomerang, EpisodesYou can also use YUI Profiler I believe http://developer.yahoo.com/yui/profilerI have seen JavaScript warnings appear due to “excessive time in the onBeforeUnload event” – so keep in mind that JavaScript is a lot slower in mobile devices and hence the observer effect is larger (and the timing more accurate).
Network tap based solutions are great for measuring your own site, not so great for measuring 3rd party sites.PCAPPerf is limited to WiFi… which isn’t anything like the real “mobile” experience. The mobile network stack is NOT the same as the desktop stack, and the client side delay is larger also. *In theory you can use tcpdump on a rooted phone. More on that later…
The mobile network stack is NOT the same as the desktop stack, and the client side delay is larger also.
Is a tethered, rooted phone over wifi adequate to your needs?
Is knowing what’s happening “on the wire” enough, or do you want to understand what’s happening at the browser level?And the “mobile context” …So lets look at a few in detail…
Flexible solution (in theory works with every WiFi enabled phone)But WiFi isn’t mobile…And it’s a faff…
Essentially the PCAPPerf approach as SaaSBut it does support iPhone and Android.
Currently Android only but PoC code for Blackberry and iPhone exists. iPhone client in 90 to 120 days, all being well.
Rooted and Tethered, again…
Even a PC-based version of Webkit isn’t the same as webkit running on a mobile device. But useful none the less. Lots of other features and unsurprisingly there is a (expensive) Pro version “The MITE Pro annual user license is $5,000 and includes 100 hours of free remote testing. To learn more about single- and multiple-license purchases, please contact us today.”
The mobile network stack is NOT the same as the desktop stack, and the client side delay is larger also.