Publication | Closed Access
Weighted Sum Model for Multi-Objective Query Optimization for Mobile-Cloud Database Environments.
23
Citations
13
References
2016
Year
EngineeringData AggregationMobile-cloud Database EnvironmentSum ModelOperations ResearchInformation RetrievalData ScienceWeighted-sum ModelMobile-cloud Database EnvironmentsMulti-objective Query OptimizationData ManagementMobile Data OffloadingData OptimizationQuery Execution TimeComputer EngineeringComputer ScienceMobile ComputingDistributed Query ProcessingMobile Cloud ServiceQuery OptimizationMobile Computing SystemEdge ComputingCloud ComputingMobile DatabaseResource Optimization
In a mobile-cloud database environment, different users on multiple mobile devices request services executed on a cloud. During those requests, queries are executed to obtain data, stored on the cloud and partly in caches on the mobile devices. The process of choosing an optimal query execution plan during a query optimization process is difficult because of multiple objectives involved regarding multiple non-static pricing models and different user constrains, such as monetary cost, query execution time and mobile device energy consumption. This paper provides a strategy of how to incorporate those various objectives in this decision process, based on a weighted-sum model, to achieve a good query execution plan. The experimental performance studies show that comparing with strategies, the proposed strategy is able to achieve its goal while incurs almost no additional overhead.
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