Types of Workloads - Washington University in St Louis - Computer 2026

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  1. Click ‘Get Form’ to open it in the editor.
  2. Begin with the 'Overview' section. Familiarize yourself with the definitions of different workload types, such as Instruction Workloads and Synthetic Workloads. This foundational knowledge will guide your selections.
  3. Proceed to fill out the 'Workload Selection' section. Here, identify the specific workloads relevant to your analysis by considering factors like services used and metrics that measure performance.
  4. In the 'Considerations' subsection, detail any unique aspects of your workload selection process. This may include identifying service demands and performance metrics that are critical for your evaluation.
  5. Finally, review all entries for accuracy and completeness before saving or sharing your document. Utilize our platform's features to ensure a smooth editing experience.

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Cloud workloads can be divided into static workloads and dynamic workloads. Static workloads are always on, while dynamic workloads activate when needed, such as for automated internal applications or the spinning up of virtual server instances.
A workload refers to type and amount of processing that compute resources perform to complete tasks or generate outcomes.
An interactive workload in grid computing refers to a task that involves communication and interaction within a local cluster, where the output of one cluster can become the input for another cluster. AI generated definition based on: Parallel Computing, 2013.
❑ Synthetic workload: ➢ Similar to real workload ➢ Can be applied repeatedly in a controlled manner ➢ No large real-world data files ➢ No sensitive data ➢ Easily modified without affecting operation ➢ Easily ported to different systems due to its small size ➢ May have built-in measurement capabilities.
Washington University in St. Louis, often referred to as WashU, offers a Master of Science (MS) in Computer Science through its School of Engineering Applied Science. This program lasts for 18 months, providing an in-depth education in the field of computer science. The tuition fee for this course is USD 61,750.