Transition to Cloud Services: Workload Categories – R&D and Web Infrastructure

The organizations are rapidly looking for ways to move to cloud services. While deciding workload placement, the highest priority should be to understand your organization’s business needs and pain points. These are the different kind of workloads of Research and Development (R&D) and Web infrastructure that need to be considered.



  • Includes applications for engineering R&D efforts and scientific research and conducted at public or private institutes of higher education.
  • Systems sold for both research and educational activities, conducted at privately funded and/or non-profit research institutes that have a strong academic mission.
  • NSF sites that are located at universities and includes orthogonal tasks embedded into academic/university workloads.


  • Chemical engineering; computer aided engineering and manufacturing; electronic design and analysis; and industrial automation.
  • Workloads which eventually will result in new or improved products, processes, systems, or services that can increase the company’s sales and profits.

Scientific Research

  • Investigative research associated with the relationships among natural phenomenon, including the biological sciences, geosciences and geo-engineering, weather forecasting, and climate modeling.
  • Technical computing workloads included in government R&D and academic/university are excluded.

Web Infrastructure

Digital Content Creation & Delivery (DDC&D)

  • Application related workload for 2D/3D animation, film and video editing and production, and multimedia authoring for both CD and web pages that utilize sophisticated graphics content.
  • Internet components like streaming/delivery of video and audio multimedia applications.
  • Servers used for image rendering, content management, and distribution of finished products for areas such as film, TV, commercial animation, advertising, product styling, and industrial design.

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