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( Vi Van Vo ),염상길 ( Sanggil Yeoum ),추현승 ( Huynseung Choo ) 한국정보처리학회 2019 한국정보처리학회 학술대회논문집 Vol.26 No.1
Sampling-based algorithms are one of the most commonly approaches which give good results in robot path planning with many degree of freedom. So that many proposed methods as well as their improvement based on these approaches have been proposed. The purpose of this paper is to survey some current algorithms using for path planning, the original proposed methods as well as their improvement. Some advantages and disadvantages of these algorithms will be also mentioned, how the improved version of the proposed methods overcome the original proposed methods’ drawback.
클라우드컴퓨팅에서 메시지패싱방식 응용프로그램의 효율적인 체크포인트 알고리즘
( Duc Tai Le ),( Manh Thuong Quan Dao ),( Minjoon Ahn ),( Huynseung Choo ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.1
In this work, we study the checkpoint/restart problem for message-passing parallel applications running on cloud computing environment. This is a new direction which arises from the trend of enabling the applications to run on the cloud computing environment. The main objective is to propose an efficient checkpoint algorithm for message-passing parallel applications considering communications with external systems. We further implement the novel algorithm by modifying gSOAP and OpenMPI (the open source libraries) which support service calls and checkpoint message-passing parallel programs, especially. The simulation showed that additional costs to the executing and checkpointing application of the algorithm are negligible. Ultimately, the algorithm supports efficiently the checkpoint/restart service for message-passing parallel applications, that send requests to external services.