ScholarWorks@Sookmyung Women's University: Kim, Yoonhee

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Kim, Yoonhee (김윤희)

Engineering (Division of Computer Science)

Research Area: cloud computing, cloud computing

Tel 02-710-9664
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ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

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eScience:12||GPU:9||Cloud computing:6||Grid computing:6||SLA:5||autoscaling:5||Job history:5||hybrid cloud computing:4||CFD:4||GPU utilization:4||PSE:4||GPU applications:4||Science Cloud:4||Scientific Workflow:4||Autoscaling:4||Ontology:4||Workflow:3||Interference:3||e사이언스:3||유튜브:3||MPS:3||workflow:3||scheduling:3||hybrid cloud:3||MIG:3||하둡:3||하이브리드 클라우드:3||UNICORE:3||coexecution:3||Resource Selection:3||container:3||PlackettBurman:3||Science cloud:3||CUDA:3||interference:3||Docker:3||multipolicies:3||data placement:2||Datalocality:2||Frequently Accessed Data:2||smCompactor:2||Optimization:2||자원 프로비저닝:2||Cloud:2||timeslicing:2||Highthroughput computing:2||Scientific workflow:2||Bagoftasks:2||eAIRS:2||컨테이너:2||쿠버네티스:2||하이브리드 클라우드 컴퓨팅:2||video:2||Containerbased virtualization:2||Performance:2||Spatial Sharing:2||Static Profiling:2||Distributed computing:2||Memory:2||Problem Solving Environment:2||Memory management:2||다중 정책:2||Hybrid infrastructure:2||Verbal Sentiment Analysis:2||동영상:2||CoScheML scheduler:2||문제풀이 환경:2||GPU scheduling:2||opinion mining:2||Youtube:2||Resource Provisioning:2||Resource contention:2||Coexecution:2||Resource selection:2||Adaptive Resource selection:2||Applicationaware:2||reconfiguration:2||Grid Computing:2||오토스케일링:2||오피니언 마이닝:2||Grid Resource:2||resource contention:2||resource management:2||HPC:2||SNS:2||Hadoop:2||Dataintensive application:2||selforganizing map:2||data intensive:2||Intercloud:1||Interferenceaware Scheduling:1||JXTA:1||Job History:1||Job Profile:1||Job Profiling:1||Job profiling:1||Job scheduling optimization:1||Keyvalue:1||Kubernetes:1||L2 Access Cache Window Policy:1||L2 Residency Control:1||L2 cache:1||Largescale systems:1||Launch vehicle:1||MIG Instances:1||MPAS:1||MPI:1||Machine Learning:1||Memory Access Pattern:1||Memory tracing:1||Memoryintensive workloads:1||Mesos:1||Message systems:1||MultiGPU:1||MultiProcess Service:1||Multilayer perceptron learning:1||Multilayer perceptron:1||Multiple Infrastructure(다중 인프라):1||NVRAM:1||Natural Language Processing:1||Natural Language Processing(NLP):1||Network management:1||Network virtualization:1||Nonvolatile memory:1||Nonverbal Sentiment Analysis:1||Numerical Analysis:1||OS:1||Online Review:1||OpenStack:1||Opinion mining:1||PCA:1||PCA (Principal components analysis):1||PTX code:1||Parallel Thread Execution(PTX):1||Parallel processing:1||Peer to peer network:1||Personalized:1||Portals:1||Principal Component Analysis:1||Principal component Analysis:1||Processor scheduling:1||Profiler:1||Profiling:1||Prototypes:1||PyTorch:1||QR factorization:1||QoS:1||QoSaware:1||Queue pair:1||RDMA:1||Resource Metrics:1||Resource provisioning:1||Resource sharing:1||Resource underutilization:1||Resourceutilization:1||Rodinia:1||Runtime environment:1||SDC:1||SDN:1||Satisfaction Analysis:1||ScaLAPACK:1||Scheduling:1||Science Cloud(사이언스 클라우드):1||Science Portal:1||ScienceDMZ:1||Scientific Workflow(과학 워크플로우):1||Scientific application:1||Scientific applications:1||Selforganizing map:1||Semantic Cloud:1||Semantics:1||Setaside aware:1||Skiplist:1||Social Network Service:1||Softwaredefined computing:1||Spark Cluster:1||Storage system:1||TV Advertisement:1||TV advertisement effect:1||TV광고:1||TV광고 효과:1||Twitter:1||Unified memory:1||WRF:1||Web Service Composition:1||Web Service Selection:1||Wellness:1||Workflow dependency:1||Workflows:1||YouTube:1||advertisement analysis service:1||aerospace:1||analyzing bigdata:1||application assignment:1||application characteristic weight:1||application characteristics:1||application classification:1||application profiling:1||application profiling data:1||automation:1||autonomic:1||available memory sizes:1||benchmark:1||cloud computing:1||cluster analysis:1||cluster orchestration framework:1||collaboration:1||concurrency:1||data provenance:1||data replacement:1||dataintensive scientific workflow application:1||dataintensive step:1||dataintensive tasks:1||dietary assessment:1||dietary data analysis:1||distributed computing:1||distribution ratio:1||dynamic resource clustering:1||eScience(e사이언스):1||ecommerce products:1||engineering education:1||faulttolerance:1||feasibility:1||grid:1||hadoop:1||hardware partitioning:1||heterogeneous GPUs:1||highthroughput computing:1||hybrid clouds:1||image deep learning:1||job scheduling optimization:1||kubernetes:1||machine learning:1||malicious code:1||matrixmatrix multiplication:1||memory:1||memorydivergent workloads:1||mesh sizes:1||mobile application:1||mobile health care:1||multitasking:1||network security:1||numerical analysis:1||ontology:1||parallel computing:1||parallel processing:1||pinned:1||policybased scheduling:1||portal:1||prepost intervention:1||prefetch:1||problem solving environment:1||resoruce classification:1||resource availability:1||resource classification:1||resource constraint:1||resource provisioning:1||resource underutilization:1||resource virtualization:1||review analysis system:1||runtime data placement:1||scientific application:1||scientific numerical study:1||scientific workflow:1||scientific workflow applications:1||semantic:1||semantic cloud:1||sentiment analysis:1||sentiment dictionary:1||sentimental object:1||sentimental sensitivity analysis:1||static profiling:1||task execution planning:1||time constraint:1||ubiquitous:1||ubiquitous computing:1||unified:1||virtualization:1||wellness:1||youtube:1||가상화:1||감성 분석:1||감정 분석:1||감정 사전:1||감정 영향력 분석:1||감정 오브젝트:1||개인맞춤형:1||계산 과학 응용:1||계산 과학응용:1||공학 교육:1||과학 워크플로우:1||과학 워크플로우 응용:1||광고 효과 분석 시스템:1||광고효과분석:1||군집 분석:1||그리드:1||그리드 스케줄링:1||그리드 컴퓨팅:1||기계학습:1||데이터 배치:1||데이터 재배치:1||데이터 집약적인 단계:1||리뷰 분석 시스템:1||만족도 분석:1||멀티태스킹:1||문제 풀이 환경:1||문제풀이환경:1||병렬처리:1||분산컴퓨팅:1||비언어 감성 분석:1||빅데이터 분석:1||사이언스 클라우드:1||소셜 네트워크 서비스:1||수치 해석:1||수치해석:1||스케줄링:1||시맨틱:1||시맨틱 기법:1||식이 코칭 기법:1||식이데이터 분석:1||언어 감성 분석:1||오류 감내:1||오피니언마이닝:1||온라인 리뷰:1||온톨로지:1||온톨로지 기반:1||워크플로우:1||웰니스:1||웹서비스 선택:1||웹서비스 합성:1||유동:1||응용 분류:1||응용 특성:1||응용 특성 가중치:1||응용 프로파일링:1||응용 프로파일링 데이터:1||응용 할당:1||이기종 GPU:1||이미지 딥러닝:1||인터클라우드:1||자기조직화지도:1||자동화:1||자연어 처리:1||자원 관리:1||자원 분류:1||자원 선택:1||자원의 상태 고려:1||자율성 미들웨어:1||작업 실행 계획:1||작업 이력:1||작업 프로파일:1||재구성:1||적응형 스케줄링:1||적응형 자원 선택:1||전자상거래 상품:1||정책 기반 스케줄링:1||주성분 분석:1||트위터:1||AVX512:1||혼합형 유전자 알고리즘:1||Adaptive:1||Adaptive evaluation:1||Adaptive provisioning:1||Adaptive resource provisioning:1||Adaptive scheduling:1||Adaptive system:1||Advise:1||Aerodynamicdynamic coupled analysis:1||Aerodynamics Design:1||Aerospace engineering:1||Aerospace(항공 우주):1||Analysis on Advertising Effect:1||Antiinterference scheduling:1||Application Characteristics:1||Application software:1||Autonomic Middleware:1||BagofTasks:1||Big data:1||CUPTI:1||Cache:1||Cloud Computing:1||Cloud provisioning:1||Cluster analysis:1||Clustering Analysis:1||CoscheML:1||CoscheML scheduler:1||Coalescing Graph:1||Codes:1||Collective Communication:1||Component:1||Compression:1||Computational Science application:1||Computational fluid dynamics:1||Computer applications:1||Computer science:1||Concurrency:1||Concurrency control:1||Container:1||Contents distirbution:1||Correlation:1||DCT:1||Data Locality:1||Data Residency:1||Data access pattern:1||Data locality:1||Dataaware scheduling:1||Dietary Coaching Method:1||Dietary analysis:1||Distributed Deep Leaning:1||Dynamic resource clustering:1||Dynamic resource sharing:1||Engineering education (공학 교육):1||Estimation:1||Facial Sentiment Analysis:1||Faulttolerance:1||File buffer:1||Fluid Dynamics:1||Fluidstructure interaction:1||Food and nutrition:1||GPGPU workload analysis:1||GPGPU. kernel scheduling:1||GPU Virtualization:1||GPU cache:1||GPU management:1||GPU memory:1||GPU multitasking:1||GPU profiling:1||GPU resource management:1||GPU resource sharing:1||GPU virtualization:1||Graphics processing units:1||Grid:1||Heterogeneous:1||Heterogeneous infrastructure:1||High Performance Computing (HPC):1||High Throughput Computing:1||Hot data identification:1||Hybrid:1||Hybrid Cloud Computing:1||Hybrid Genetic Algorithm:1||Hybrid Infrastructure:1||Hybrid cloud:1||Hybrid cloud computing:1||Hypervisorbased virtualization (HPV):1||Image Deep Learning:1||Indexing:1||Instruction sets:1||Intel Knights Landing:1||

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Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127

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