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Tactic: Optimize search & query strategies
Tactic sort:
Awesome Tactic
Type: Architectural Tactic
Category: resource-adaptation
Title
Optimize search & query strategies
Description
Search and query strategies can be optimized to increase efficiency and, therefore, reduce costs. AWS Athena is a query service to analyze data in Amazon S3 using standard SQL. Athena charges for the amount of data being scanned to retrieve the query data. Hence, to optimize the costs of a query, the developer needs to ensure that a minimum amount of data is scanned. For example, whenever a key is frequently positioned at a certain location, first, this location should be scanned to prevent redundant scans. Processing less data results in less computing power and memory usage. Thus, a reduction in energy usage is expected.
Participant
Cloud consumer
Related software artifact
Cloud databases
Context
Public cloud
Software feature
Searches and queries
Tactic intent
Optimizing search and query strategies to increase efficiency and reduce costs
Target quality attribute
Efficiency
Other related quality attributes
Cost-efficiency
Measured impact
< unknown >
Source
Master Thesis “Architectural Tactics to Optimize Software for Energy Efficiency in the Public Cloud” by Sophie VosGraphical representation
