Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
Home > Bright Computing > Data Center Workloads: How to Successfully Manage Convergence
 

Data Center Workloads: How to Successfully Manage Convergence

White Paper Published By: Bright Computing
Bright Computing
Published:  Mar 08, 2018
Type:  White Paper
Length:  8 pages

IT administrators measure success by the quality and speed of the services they deliver to their users. In the past, decision-making centered on which application should execute on which type of hardware in the data center. Performance-critical applications might need to execute on a specific architecture, while other less-specialized applications could run on generic servers. This heterogeneous arrangement managed costs but led to hardware silos that didn’t serve the evolving needs of the enterprise, especially when it comes to data center workloads.

The advent of more powerful computing hardware combined with new software has supported the rapid evolution of today’s most competitive enterprises. By scheduling and executing various applications across more servers, more work is accomplished.

Mixing data center workloads rather than creating separate application domains is key to efficiency and productivity. Specific software is typically needed only in certain phases of product development, leaving systems idle the rest of the time.

This insideHPC guide explores how a powerful scheduling and resource management solution — such as Bright Cluster Manager — can slot other workloads into those idle clusters, thereby gaining maximum value from the hardware and software investment, and rewarding IT administrators with satisfied users.



Tags : 
bright computing, convergence, servers, resource management, hardware, clusters, workload management, load balancing, network architecture, data center design and management