{"id":33137,"date":"2023-08-16T03:00:00","date_gmt":"2023-08-16T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33137"},"modified":"2023-08-14T14:00:27","modified_gmt":"2023-08-14T21:00:27","slug":"why-car-storage-depends-on-the-right-workload-analysis","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/08\/16\/why-car-storage-depends-on-the-right-workload-analysis\/","title":{"rendered":"Why Car Storage Depends on the Right Workload Analysis"},"content":{"rendered":"\n

By Russell Ruben, director of automotive and emerging segment market, Western Digital<\/a><\/p>\n\n\n

\n
\"\"<\/figure><\/div>\n\n\n

While car makers and buyers consider how much storage a vehicle has to fit physical belongings in, it\u2019s no longer just cargo storage that\u2019s important. Cars can now support more lines of software code than fighter jets.\u00a0<\/p>\n\n\n\n

Such technological advancement means that auto manufacturers need to properly equip their vehicles with well-designed data storage that will meet the specific performance, reliability, and capacity needs for a particular automotive systems. <\/p>\n\n\n\n

To do so, they must first understand the importance of workload analysis. This will help support the durability and longevity that automotive systems require, enabling features that allow monitoring and providing the best user experience possible to address new applications\u2019 needs.<\/p>\n\n\n\n

Where\u2019s all this demand for car storage coming from?<\/strong><\/p>\n\n\n\n

As with many other industries, consumer expectations have been a significant catalyst for storage demand in the auto industry. For example, consumers are used to having smart devices in their hands, and now expect the same level of intelligence from their vehicles.<\/p>\n\n\n\n

Think lane-keep assistance, fast-charging batteries, cameras, voice recognition and Wi-Fi, are just a few of the systems common to modern cars. Western Digital estimates that NAND storage, used to handle the demands for vehicle features like these, could reach 2TB by 2025<\/a> in high-end vehicles. Commercial-fleet vehicles will likely require even more storage as their systems monitor drivers and collect data that helps optimize efficiency and operations.\u00a0\u00a0<\/p>\n\n\n\n

 As a result, storage requirements will need to be reevaluated, tested and analyzed accordingly as entirely new applications and capabilities arise utilizing cutting edge sensors, 5G, AI, machine learning and big data analytics.<\/p>\n\n\n\n

Why workload analysis is so important in product development\u00a0<\/strong><\/p>\n\n\n\n

Storage workload analysis during product development enables a proactive evaluation of how the system is accessing the storage device and the resulting useful life of the media that can be expected. This analysis identifies the potential of exceeding the specifications of the storage device. <\/p>\n\n\n\n

Conducting workload analysis as a repetitive routine on evolving product generations and different setups allow identification of changing trends and unexpected patterns. Adjustments to the application software or increasing the storage-device capacity can then be made to reach the optimal years of useful life. <\/p>\n\n\n\n

Some of the questions workload analysis can help answer include:<\/p>\n\n\n\n