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Seung Hyun Yoon
Researcher at Electronics and Telecommunications Research Institute
Publications - 76
Citations - 688
Seung Hyun Yoon is an academic researcher from Electronics and Telecommunications Research Institute. The author has contributed to research in topics: Cloud computing & Network packet. The author has an hindex of 11, co-authored 73 publications receiving 658 citations.
Papers
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Journal ArticleDOI
Batch arrival queue with N -policy and single vacation
TL;DR: A procedure to find the optimal stationary operating policy under a linear cost structure is developed and it is shown that the system size distribution decomposes into two random variables one of which is the system sizes of ordinary M x / G /1 queue.
Patent
Method for managing content caching based on hop count and network entity thereof
TL;DR: In this article, a hop-count-based content caching scheme is proposed to decrease traffics of a network by the routing node's primarily judging whether to cache a content chunk by grasping an attribute of the received content chunk, and the caching probability of 1/hop count.
Patent
Traffic measurement system and traffic analysis method thereof
Seung Hyun Yoon,Tae Soo Jeong,Tae Sang Choi,Hyung Hwan Kim,Hyung Seok Chung,Jeong Sook Park,Changhoon Kim +6 more
TL;DR: In this paper, a traffic measurement system and a traffic analysis method are provided, which includes a plurality of measurement devices that collect all of packets flowing through Internet links, extract traffic data required to analyze traffic from the collected packets, and process the extracted data into predetermined flow types.
Proceedings ArticleDOI
The determinant of adoption in cloud computing in Vietnam
TL;DR: Eight factors were identified as determinants of cloud computing adoption by combining the two widely applied IT theories i.e. Diffusion on Innovation and Technology-Organization-Environment framework.
Journal ArticleDOI
Queue length and waiting time analysis of a batch arrival queue with bilevel control
TL;DR: The methodology employed in this paper can be extended to other batch arrival queueing system with more complicated control policies and derive the distributions of the number of customers in the system and the waiting time.