Tham khảo tài liệu 'human-robot interaction part 5', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 6 A Genetic Algorithm-based Approach to Dynamic Architectural Deployment Dongsun Kim and Sooyong Park Sogang University Republic of Korea 1. Introduction Increasing demands for various and complex tasks on contemporary computing systems require the precise deployment of components that perform the tasks. For example in service robot systems Hans et al. 2002 Kim et al. 2008 that have several SBCs single board computers users may simultaneously request several tasks such as locomotion speech recognition human-following and TTS text-to-speech . Each task comprises a set of components that are organized by an architectural configuration. These components execute their own functionality to provide services to the user. To execute components they must be deployed into computing units that have computing power such as desktops laptops and embedded computing units. The deployment of components into computing units can influence the performance of tasks. If the system has only one computing unit every component is deployed in the computing unit and there is no option to vary the deployment to improve the performance. On the other hand if the system has multiple computing units performance improvement by varying the deployment can be considered. Different instances of component deployment show different performance results because the resources of the computing units are different. Concentrated deployment into a certain computing unit may lead to resource contention and delayed execution problems. Therefore the system requires an deployment method to improve performance when the user requests multiple tasks of a system that has multiple computing units. When determining the deployment of components that comprise the architectural configuration for the tasks it is important to rapidly and precisely make a decision about deployment. Since there are a large number of candidate deployment instances even for a small number of computing units and components . their combinations
