지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.5
- 수록면
- 17 - 22 (6page)
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Applications with real-time properties have strict performance constraints. These constraints are related to timelines of the periodic robot software components, corresponding to component deadline and data correctness. The context switching and system overheads affect the performance of such component application significantly.
Hence, to overcome problems related to execution of real-time components, we proposed a new scheduling algorithm for real-time periodic robot software components.
When a robot is executed in unpredictable environment, the execution time of the real-time robot component is unknown or hard to predict. Therefore, proposed scheduling scheme dynamically allocates priority to periodic components by calculating component delta time, which is the time, when component should be executed according to its periodicity and deadline.
We implemented this algorithm on OPRoS component Execution Engine and run under WindowsXP operating system. Here we report the performance results, which verify usefulness of proposed scheduling algorithm.
Hence, to overcome problems related to execution of real-time components, we proposed a new scheduling algorithm for real-time periodic robot software components.
When a robot is executed in unpredictable environment, the execution time of the real-time robot component is unknown or hard to predict. Therefore, proposed scheduling scheme dynamically allocates priority to periodic components by calculating component delta time, which is the time, when component should be executed according to its periodicity and deadline.
We implemented this algorithm on OPRoS component Execution Engine and run under WindowsXP operating system. Here we report the performance results, which verify usefulness of proposed scheduling algorithm.
목차
Abstract
1. Introduction
2. Related work
2 Delta Time based Scheduling Algorithm
3 Implementation
4 Performance evaluation
5 Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2014-569-000873740