Intelligent Scheduling for Parallel Jobs in Big Data Processing Systems

Keyphrases

• Big Data 50%
• Big Data Applications 50%
• Big Data System 100%
• Business Domain 50%
• Challenging Problems 50%
• Cloud-based 50%
• Computing Environment 50%
• Execution Performance 50%
• Explosive Growth 50%
• Hadoop 50%
• Heterogeneous Cluster 50%
• Heterogeneous Design 50%
• High Performance Computing 50%
• Highly Heterogeneous 50%
• Industrial Domain 50%
• Intelligent Scheduling 100%
• Job Scheduling 100%
• Job Scheduling Problem 50%
• K-means 50%
• New Nodes 50%
• Parallel Job Scheduling 50%
• Parallel Jobs 100%
• Parallel Processing 50%
• Physical-based 50%
• Real Experiment 50%
• Scheduling Jobs 50%
• Scientific Domain 50%
• Task Scheduling Algorithm 50%
• User Application 50%
• User Populations 50%

Computer Science

• Application of Big Data 25%
• Big Data 25%
• Big Data Processing 100%
• Business Domain 25%
• Computing Environment 25%
• Data Processing System 100%
• Hadoop 25%
• Heterogeneous Cluster 25%
• High-Performance Computing 25%
• Job Scheduling 100%
• Parallel Processing 25%
• Scheduling Algorithm 25%
• Scheduling Problem 25%
• Scientific Domain 25%
• task-scheduling 25%
• User Application 25%
• User Population 25%