An adaptive workflow scheduling scheme based on an estimated data processing rate for next generation sequencing in cloud computing

Journal of Information Processing Systems

Volumn 8, Issue 4, 2012, Pages 555-566

  Kim, Byungsang ^a   Youn, Chan Hyun ^a   Park, Yong Sung ^a   Lee, Yonggyu ^a   Choi, Wan ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Bio workflow broker; Next generation sequencing; Resource provisioning

Indexed keywords

ADAPTIVE WORKFLOW; BIO-WORKFLOW BROKER; CLOUD ENVIRONMENTS; COMPLETION TIME; COMPLEX WORKFLOWS; COMPUTING ELEMENT; DATA STORAGE; DISTRIBUTED SOLUTIONS; LARGE DATASETS; MAKESPAN; NEXT-GENERATION SEQUENCING; OUTSOURCE; PARALLEL WORKLOADS; PROBLEM SIZE; PUBLIC CLOUDS; RESOURCE CONSTRAINT; RESOURCE COSTS; RESOURCE-PROVISIONING; RUN-TIME DATA; SCALABLE COMPUTING; SEQUENCE ALIGNMENTS; STATIC RESOURCE; TRANSFER TIME; WORK-FLOW SYSTEMS;

BIOINFORMATICS; DATA TRANSFER; SCHEDULING ALGORITHMS;

DATA STORAGE EQUIPMENT;

EID: 84874160557     PISSN: 1976913X     EISSN: 2092805X     Source Type: Journal    
DOI: 10.3745/JIPS.2012.8.4.555     Document Type: Article

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