You’ve just been promoted to be the performance engineering manager of the end user support organization for your company. Your company has employees working from home with laptop computers and some still in the office using laptop and desktop computers. End user requests come in around the clock, at various rates, and via calls, online requests, or walk-ins.
Write a 3â5-page paper in which you:
Â· Describe a method you would use for each of the following:
- To identify limits on system capacity and define service and interarrival time variability.
- To create scheduling rules.
- To perform what-if analysis.
Â· Discuss the types of metrics you would implement to optimize the performance of your organization from both a user experience and a resource utilization perspective.
Â· Explain how you would differentiate the objectives of your performance metrics between phone call, online, and walk-in requests.
Â· Describe whether service requests are queued up for your organization to form an open or closed queueing system, and fully justify why they follow this format.
Sure, I can help you with that. Here is a paper in which I describe the methods I would use to identify limits on system capacity and define service and interarrival time variability, create scheduling rules, perform what-if analysis, discuss the types of metrics I would implement to optimize the performance of my organization from both a user experience and a resource utilization perspective, explain how I would differentiate the objectives of my performance metrics between phone call, online, and walk-in requests, and describe whether service requests are queued up for my organization to form an open or closed queueing system, and fully justify why they follow this format.
Identifying Limits on System Capacity and Defining Service and Interarrival Time Variability
The first step in performance engineering is to identify the limits on system capacity. This can be done by understanding the number of users, the types of requests they make, and the resources required to service those requests. For example, if my company has 100 employees, and each employee makes an average of 10 requests per day, then the system must be able to handle at least 1000 requests per day.
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