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Category: Benchmarking

Potential web technology additions for WebXPRT 4

A few months ago, we invited readers to send in their thoughts and ideas about web technologies and workload scenarios that may be a good fit for the next WebXPRT. We’d like to share a few of those ideas today, and we invite you to continue to send your feedback. We’re approaching the time when we need to begin firming up plans for a WebXPRT 4 development cycle in 2021, but there’s still plenty of time for you to help shape the future of the benchmark.

One of the most promising ideas for WebXPRT 4 is the potential addition of one or more WebAssembly (WASM) workloads. WASM is a low-level, binary instruction format that works across all modern browsers. It offers web developers a great deal of flexibility and provides the speed and efficiency necessary for running complex client applications in the browser. WASM enables a variety of workload scenario options, including gaming, video editing, VR, virtual machines, image recognition, and interactive educational content.

In addition, the Chrome team is dropping Portable Native Client (PNaCL) support in favor of WASM, which is why we had to remove a PNaCL workload when updating CrXPRT 2015 to CrXPRT 2. We generally model CrXPRT workloads on existing WebXPRT workloads, so familiarizing ourselves with WASM could ultimately benefit more than one XPRT benchmark.

We are also considering adding a web-based machine learning workload with TensorFlow for JavaScript (TensorFlow.js). TensorFlow.js offers pre-trained models for a wide variety of tasks including image classification, object detection, sentence encoding, natural language processing, and more. We could also use this technology to enhance one of WebXPRT’s existing AI-themed workloads, such as Organize Album using AI or Encrypt Notes and OCR Scan.

Other ideas include using a WebGL-based workload to target GPUs and investigating ways to incorporate a battery life test. What do you think? Let us know!

Justin

Check out our new CloudXPRT video!

Many businesses want to move critical applications to the cloud, but choosing the right cloud-based infrastructure as a service (IaaS) platform can be a complex and costly project. We developed CloudXPRT to help speed up and simplify the process by providing a powerful benchmarking tool that allows users to run multiple workloads on cloud platform software in on-premises and popular public cloud environments.

To help spread the word about what CloudXPRT can do and why it matters to businesses, we’ve published a new video, Choose the best IaaS configuration for your business with CloudXPRT, on YouTube and CloudXPRT.com. If you know anyone who is evaluating cloud options, or who would be interested in CloudXPRT testing or results, we encourage you to share the video with them. As always, if you have any questions about CloudXPRT, please let us know!

Justin

Video: Choose the best IaaS configuration for your business with CloudXPRT.

The ongoing evolution of the BenchmarkXPRT Development Community

This November will mark the tenth anniversary of the BenchmarkXPRT Development Community, which we originally called the HDXPRT Development Community. Since the early days of HDXPRT, our community has grown to include about 275 members from over 85 companies and organizations, and we’ve added seven benchmarks to the XPRT family. We initially mailed HDXPRT DVDs to testers interested in a new way to evaluate PC performance, and now thousands of users around the world download our benchmarks and rely on them to help measure the performance of everything from tablets to laptops to high-end datacenter hardware.

As the XPRTs continue to grow and evolve, we’ve worked to make sure that the resources that we offer—and the ways we offer them—continue to meet the needs of XPRT testers and community members. As we expand in the AI and datacenter spaces with AIXPRT and CloudXPRT, our user group is becoming larger and more diverse than ever. We have already made some changes to better serve this expanding group, and will be making additional changes over the months ahead.

The first set of changes relate to our community membership model. Originally, membership in the BenchmarkXPRT Development Community required a $20 fee and provided access to preview versions of new benchmarks, the ability to submit ideas for future benchmarks, and regular updates through our monthly newsletter and community announcements. To remove the financial obstacle to joining, we introduced a fee waiver process a few years ago.

Also, we know that some OEM employees and members of the tech press are interested in the XPRTs, but are unable to join the community for one reason or another. With these people in mind, we recently experimented with making the CloudXPRT Preview publicly available. Releasing preview builds to all who are interested makes it more likely that users will incorporate the XPRTs into their test suites, and we have decided to adopt this practice for other benchmarks going forward.

In the coming months, we’ll be updating parts of our website to increase access to XPRT content. For example, certain content such as source code for most of the XPRTs is currently available only to members. We plan to remove the login requirement for access to this material.

Please keep in mind that membership in the BenchmarkXPRT Development Community continues to offer exclusive opportunities. Members can join groups such as the CloudXPRT Results Review Group and offer direct input into the design of future benchmarks. Members also receive our monthly newsletters.

If you have any questions about the XPRTs or community membership, please feel free to ask!

Justin

Improving the CloudXPRT results viewer

This week, we made some changes to the CloudXPRT results viewer that we think will simplify the results-browsing experience and allow visitors to more quickly and easily find important data.

The first set of changes involves how we present test system information in the main results table and on the individual results details pages. We realized that there was potential for confusion around the “CPU” and “Number of nodes” categories. We removed those and created the following new fields: “Cluster components,” “Nodes (work + control plane),”  and “vCPUs (work + control plane).” These new categories better describe test configurations and clarify how many CPUs engage with the workload.

The second set of changes involves the number of data points that we list in the table for each web microservices test run. For example, previously, we published a unique entry for each level of concurrency a test run records. If a run scaled to 32 concurrent instances, we presented the data for each instance in its own row. This helped to show the performance curve during a single test as the workload scaled up, but it made it more difficult for visitors to identify the best throughput results from an individual run. We decided to consolidate the results from a complete test run on a single row, highlighting only the maximum number of successful requests (throughout). All the raw data from each run remains available for download on the details page for each result, but visitors don’t have to wade through all that data to find the configuration’s main “score.”

We view the development of the CloudXPRT results viewer as an ongoing process. As we add results and receive feedback from testers about the data presentation formats that work best for them, we’ll continue to add more features and tweak existing ones to make them as useful as possible. If you have any questions about CloudXPRT results or the results viewer, please let us know!

Justin

Now available: An updated CloudXPRT Preview build and source code

Today, we published an updated CloudXPRT Preview build (v0.97), along with the build’s source code. The new build fixes a few minor bugs, and makes several improvements to help facilitate installation, setup, and testing. The fixes do not affect CloudXPRT test results, so results from the new build are comparable to results from the original build (v0.95). You can find more detailed information about the changes in last week’s blog.

The CloudXPRT Preview v0.97 source code is available to the public via the CloudXPRT GitHub repository. As we’ve discussed in the past, publishing XPRT source code is part of our commitment to making the XPRT development process as transparent as possible. By allowing all interested parties to download and review our source code, we’re encouraging openness and honesty in the benchmarking industry and are inviting the kind of constructive feedback that helps to ensure that the XPRTs continue to contribute to a level playing field.

While the CloudXPRT source code is available to the public, our approach to derivative works differs from some open-source models. Traditional open-source models encourage developers to change products and even take them in different directions. Because benchmarking requires a product that remains static to enable valid comparisons over time, we allow people to download the source, but we reserve the right to control derivative works. This discourages a situation where someone publishes an unauthorized version of the benchmark and calls it an “XPRT.”

We encourage you to download and review the source and send us any feedback you have. Your questions and suggestions may influence future versions of CloudXPRT.

If you have any questions about CloudXPRT or the source code, please let us know!

Justin

A CloudXPRT build with bug fixes is on the way

We want to let CloudXPRT testers know that updated installer packages are on the way. The packages will include several fixes for bugs that we discovered in the initial CloudXPRT Preview release (build 0.95). The fixes do not affect CloudXPRT test results, but do help to facilitate installation and remove potential sources of confusion during the setup and testing process.

Along with a few text edits and other minor fixes, we made the following changes in the upcoming build:

  • We updated the data analytics setup code to prevent error messages that occurred when the benchmark treated one-node configurations as a special case.
  • We configured the data analytics workload to use a go.mod file for all the required go modules. With this change, we can explicitly state the release version of the necessary go modules, and updates to the latest go release won’t break the benchmark. This change also removes the need to include large gosrc.tar.gz files in the source code.
  • We added a cleanup utility script for the web microservices workload. If something goes wrong during configuration or a test run, testers can use this script to clean everything and start over.
  • We fixed an error that prevented the benchmark from successfully retrieving the cluster_config.json file in certain multi-node setups.
  • In the web microservices workload, we changed the output format of the request rate metric from integer to float. This change allows us to report workload data with a higher degree of precision.
  • In the web microservices workload, we added an overall summary line to results log file that reports the best throughput numbers from the test run.
  • In the web microservices code, we modified a Kubernetes option that the benchmark used to create the Cassandra schema. Prior to this change, the option generated an inconsequential but distracting error message about TTY input.

We haven’t set the release date for the updated build yet, but when we do, we’ll announce it here in the blog. If you have any questions about CloudXPRT, please let us know!

Justin

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