PT-Logo
Forgot your password?
BenchmarkXPRT Blog banner

More details about CloudXPRT’s workloads

About a month ago, we posted an update on the CloudXPRT development process. Today, we want to provide more details about the three workloads we plan to offer in the initial preview build:

  • In the web-tier microservices workload, a simulated user logs in to a web application that does three things: provides a selection of stock options, performs Monte-Carlo simulations with those stocks, and presents the user with options that may be of interest. The workload reports performance in transactions per second, which testers can use to directly compare IaaS stacks and to evaluate whether any given stack is capable of meeting service-level agreement (SLA) thresholds.
  • The machine learning (ML) training workload calculates XGBoost model training time. XGBoost is a gradient-boosting framework  that data scientists often use for ML-based regression and classification problems. The purpose of the workload in the context of CloudXPRT is to evaluate how well an IaaS stack enables XGBoost to speed and optimize model training. The workload reports latency and throughput rates. As with the web-tier microservices workload, testers can use this workload’s metrics to compare IaaS stack performance and to evaluate whether any given stack is capable of meeting SLA thresholds.
  • The AI-themed container scaling workload starts up a container and uses a version of the AIXPRT harness to launch Wide and Deep recommender system inference tasks in the container. Each container represents a fixed amount of work, and as the number of Wide and Deep jobs increases, CloudXPRT launches more containers in parallel to handle the load. The workload reports both the startup time for the containers and the Wide and Deep throughput results. Testers can use this workload to compare container startup time between IaaS stacks; optimize the balance between resource allocation, capacity, and throughput on a given stack; and confirm whether a given stack is suitable for specific SLAs.

We’re continuing to move forward with CloudXPRT development and testing and hope to add more workloads in subsequent builds. Like most organizations, we’ve adjusted our work patterns to adapt to the COVID-19 situation. While this has slowed our progress a bit, we still hope to release the CloudXPRT preview build in April. If anything changes, we’ll let folks know as soon as possible here in the blog.

If you have any thoughts or comments about CloudXPRT workloads, please feel free to contact us.

Justin

The Introduction to AIXPRT white paper is now available!

Today, we published the Introduction to AIXPRT white paper. The paper serves as an overview of the benchmark and a consolidation of AIXPRT-related information that we’ve published in the XPRT blog over the past several months. For folks who are completely new to AIXPRT and veteran testers who need to brush up on pre-test configuration procedures, we hope this paper will be a quick, one-stop reference that helps reduce the learning curve.

The paper describes the AIXPRT toolkits and workloads, adjusting key test parameters (batch size, level of precision, number of concurrent instances, and default number of requests), using alternate test configuration files, understanding and submitting results, and accessing the source code.

We hope that Introduction to AIXPRT will prove to be a valuable resource. Moving forward, readers will be able to access the paper from the Helpful Info box on AIXPRT.com and the AIXPRT section of our XPRT white papers page. If you have any questions about AIXPRT, please let us know!

Justin

Odds and ends

Today, we want to share quick updates on a few XPRT topics.

In case you missed yesterday’s announcement, the CrXPRT 2 Community Preview (CP) is now available. BenchmarkXPRT Development Community members can access the preview using a direct link we’ve posted on the CrXPRT tab in the XPRT Members’ Area (login required). This tab also provides a link to the CrXPRT 2 CP user manual. You can find a summary of what’s new with CrXPRT 2 in last week’s blog. During the preview period, we allow testers to publish CP test scores. Note that CrXPRT 2 overall performance test scores and battery life measurements are not comparable to those from CrXPRT 2015.

We’ll soon be publishing our first AIXPRT whitepaper, Introduction to AIXPRT. It will summarize the AIXPRT toolkits and workloads; how to adjust test parameters such as batch size, levels of precision, and concurrent instances; how to use alternate test configuration files; and how to understand test results. When the paper is available, we’ll post it on the XPRT white papers page and make an announcement here in the blog.

Finally, in response to decreased downloads and usage of BatteryXPRT, we have ended support for the benchmark. We’re always monitoring usage of the XPRTs so that we can better direct our resources to the current needs of users. We’ve removed BatteryXPRT from the Google Play Store, but it is still available for download on BatteryXPRT.com.

If you have any questions about CrXPRT 2, AIXPRT, or BatteryXPRT, please let us know!

Justin

The CrXPRT 2 Community Preview is available!

We’re excited to announce that the CrXPRT 2 Community Preview (CP) is now available! BenchmarkXPRT Development Community members can access the preview using a direct link posted on the CrXPRT tab in the XPRT Members’ Area (login required), where they will also find the CrXPRT 2 CP user manual.

You can find more information about the key differences between CrXPRT 2015 and CrXPRT 2 in last week’s blog entry. During the preview period, we allow testers to publish CP test scores, but CrXPRT 2 overall performance test scores and battery life measurements are not comparable to CrXPRT 2015 scores.

If you have any questions about CrXPRT 2 or joining the community, please let us know!

Justin

The CrXPRT 2 Community Preview is almost here!

We appreciate everyone’s patience and feedback during the CrXPRT 2 development process. We’re excited to say that we’re now wrapping up some final details and expect to release the Community Preview (CP) within the next week.

Here is a summary of the key differences between CrXPRT 2015 and CrXPRT 2:

  • As we mentioned a few weeks ago, CrXPRT 2 has a completely new UI in line with the functional and aesthetic themes we used for the latest versions of WebXPRT, MobileXPRT, and HDXPRT, with a focus on intuitive navigation.
  • The CrXPRT 2 performance test includes six of the seven workloads in CrXPRT 2015. Newer versions of Chrome can’t run the Photo Collage workload without a workaround, so we removed it from CrXPRT 2.
  • We updated the images in the Photo Effects and Face Detection workloads to reflect more contemporary file resolutions and sizes.
  • The CrXPRT 2 battery life test requires a full rundown, so you’ll need charge your device to 100 percent before you can start the test, and the length of battery life tests will vary according to the battery life of the systems under test.
  • We no longer require testers to enter luminance and audio measurements in order to run a battery life test.
  • We added a second video playback segment to each battery life iteration.


We allow testers to publish CP test scores, but CrXPRT 2 overall performance test scores and battery life measurements are not comparable to CrXPRT 2015 scores.

Only BenchmarkXPRT Development Community members will be able to download the CrXPRT 2 CP. Because the Chrome team stopped providing search and browse functions for hosted and packaged Chrome apps in the Chrome Web Store, members will need a direct link to access the app. Once the app is available, we’ll post that link, along with the CrXPRT 2 CP user manual, on the CrXPRT tab in the XPRT Members’ Area (login required). We’ll also send a message to the community and post a notice here in the blog.

If you have any questions about CrXPRT 2 or joining the community, please let us know!

Justin

Thinking ahead to WebXPRT 4

It’s been about two years since we released WebXPRT 3, and we’re starting to think about the WebXPRT 4 development cycle. With over 529,000 runs to date, WebXPRT continues to be our most popular benchmark because it’s quick and easy to run, it runs on almost anything with a web browser, and it evaluates performance using the types of web technologies that many people use every day.

For each new version of WebXPRT, we start the development process by looking at browser trends and analyzing the feasibility of incorporating new web technologies into our workload scenarios. For example, in WebXPRT 3, we updated the Organize Album workload to include an image-classification task that uses deep learning. We also added an optical character recognition task to the Encrypt Notes and OCR scan workload, and introduced a new Online Homework workload that combined part of the DNA Sequence Analysis scenario with a writing sample/spell check scenario.

Here are the current WebXPRT 3 workloads:

  • Photo Enhancement:Applies three effects, each using Canvas, to two photos.
  • Organize Album Using AI: Detects faces and classifies images using the ConvNetJS neural network library.
  • Stock Option Pricing:Calculates and displays graphic views of a stock portfolio using Canvas, SVG, and dygraphs.js.
  • Encrypt Notes and OCR Scan: Encrypts notes in local storage and scans a receipt using optical character recognition.
  • Sales Graphs:Calculates and displays multiple views of sales data using InfoVis and d3.js.
  • Online Homework:Performs science and English assignment tasks using Web Workers and Typo.js spell check.

What new technologies or workload scenarios should we add? Are there any existing features we should remove? Would you be interested in an associated battery life test? We want to hear your thoughts and ideas about WebXPRT, so please tell us what you think!

Justin

Check out the other XPRTs: