The People dataset provides insight into the behavior and needs of the user community being visualized. A clear understanding of these requirements facilitates design and implementation of optimized application delivery through the most efficient means possible.
Each collection of users in the visualized community is statistically analyzed and presented in this dataset with key performance indicators that may be helpful in planning the IT environment. These statistics help the IT architect to understand the resource demands, diversity of systems and applications accessed, user experience, and other factors that may distinguish the needs of the people in the collection. Each perspective offered is designed to showcase these needs as they may influence the delivery of IT resources in ways that make people more productive.
People Dataset Perspectives
Each dataset is provided with one or more Perspectives. See View Datasets for more information on dataset perspectives and how to customize your perspective display.
Basic
This perspective provides a high level overview of the collections of users that are served by the computer systems in the visualized community. For each collection of users, the login hours per week (including display lock and screen saver time), average resource consumption, count of systems used, and count of software packages used are shown.
CPU Technical Analysis
This perspective provides more detailed technical information about the processor demands presented by each collection of users. This deeper detail may provide further insight into the load presented by each collection in the visualized community.
Memory Technical Analysis
This perspective provides more detailed technical information about the memory demands presented by each collection of users. This deeper detail may provide further insight into the load presented by each collection in the visualized community.
I/O Technical Analysis
This perspective provides more detailed technical information about the disk I/O demands presented by each collection of users. This deeper detail may provide further insight into the load presented by each collection in the visualized community.
I/O Read and Write Technical Details
This perspective shows disk I/O technical information, including separate statistics for read and write activity for each collection in the visualized user community. This information is likely to be useful in the design of an efficiently performing storage subsystem by the IT architect.
System and Software Usage Statistics
This perspective shows more detailed technical information about how each collection of users in the visualized community uses computing resources. The IT architect may find it helpful to understand these workload details when designing the application delivery infrastructure.
Application Startup Experience
This perspective offers insight into the startup delay experienced by collections of users across all applications that they use. While some applications inherently require more time to start due to processing requirements during the load sequence, statistical measurements offered here may help to depict typical delays across the user community.
Application Workload Details
Data delivered in this perspective helps to size the overall workload presented by a collection of users in the visualized environment across the full software package and application set. Detailed technical data shown here may be helpful in understanding how a particular user community presents a workload for the computing environment used.
User Community Diversity
Data offered in this perspective may help to describe the diversity within the visualized user community. A better understanding of key aspects of the environment that support users in the visualized environment and how widely they differ may be helpful in planning and optimizing the user experience.
User Resource Footprint
Users that consume the most resources while active have the greatest impact to the IT infrastructure overall (especially when virtualized). These groups of users (found in the upper right) require the greatest amount of CPU and memory resources.