Intelligent Workload Management

What Does Intelligent Workload Management Mean?

Intelligent workload management (IWM) is a relatively new offshoot of the general principle of workload management, which involves distributing computing and input/output tasks across a complex network. With IWM, new advancements allow for some types of automation and sophisticated workload handling for modern cloud, hybrid or multi-platform systems.


Techopedia Explains Intelligent Workload Management

Some IT experts describe IWM as a system where the workload itself is imbued with some types of native intelligence, for example, an understanding of security needs and processing bandwidth, or of where the resources are in the network.

In general, IWM applies to systems that have become much more complicated and need much more active workload management. Where traditional systems may have worked with basic workload management that directed data-handling tasks between several servers, many of today’s systems are interlinked hardware and virtualized systems that route data traffic across different platforms and through in-house networks, public or private cloud networks, and other segments of the general IT architecture.

Intelligent workload management advances the process of figuring out where workload handling can be done, whether it is on a physical server, in a virtual resource or in the cloud. Much of the direction that IWM provides has to do with deployment in or out of the cloud, although system administrators also use these types of resources to determine the necessary CPU and memory for I/O on different parts of an internal network.


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Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.