Design Tactics - Performance
Design tactics, based on the book 'Software Architecture in Practice' by Len Bass et al.
= 13 items
(filtered by ) / - Resource DemandTwo characteristics of demand are the time between events and how much of a resource is consumed by each request.
- Increase Computational EfficiencyImprove the algorithms used in critical areas to decrease latency.
- Reduce Computational OverheadReduce overhead such as intermediaries.
- Manage Event RateReduce the sampling frequency at which environmental variables are monitored.
- Control Frequency of SamplingSample queued requests at a lower frequency.
- Bound Execution TimesPlace a limit on how much execution time is used to respond to an event.
- Bound Queue SizesControl the maximum number of queued arrivals.
- Resource ManagementThe management of these resources affects response times.
- Introduce ConcurrencyIf requests can be processed in parallel, the blocked time can be reduced.
- Maintain Multiple Copies of Either Data or ComputationsReduce the contention that would occur if all computations took place on a central server.
- Increase Available ResourcesIncreasing the resources can reduce latency.
- Resource ArbitrationTwo characteristics of demand are the time between events and how much of a resource is consumed by each request.
- Scheduling PolicyUnderstand the characteristics of each resource's use and choose the scheduling strategy that is compatible with it.