Korea Institute of Science and Technology

Seungwoo Rho

Jieun Choi

Jong Min Lee

Kwangho Lee

Seoyoung Kim

Sangwan Kim

Soonwook Hwang

Chan-Yeol Park

Seokkyoo Kim

Jik-soo Kim

Geunchul Park

Eunkyu Byun

Disclosed are an apparatus for performing data migration and a method of operating the same for processing data migration between memories according to a monitoring result of a change in performance while applications are executed in a High Performance Computing (HPC) environment adapting hybrid memories.

Apparatus for migrating data and method of operating same

Disclosed is a method of efficiently allocating resources in a cloud computing system of the High-Throughput Computing (HTC) field. In more detail, a cloud resource allocation model is proposed in which accumulated job histories are analyzed, a correlation between a performance factor and the job properties is extracted, a factor which is greatly influential in a task performance is identified based on the result of the analyzing and the extracting and is applied to subsequent resource allocations, and reanalysis is performed adaptively.

Method and apparatus for allocating resource reflecting adaptive evaluation in cloud computing for high-throughput computing

Growing community of inventors

Daejeon, South Korea

Seungwoo Rho