Energy-efficient mapping of large-scale workflows under deadline constraints in big data computing systems

Keyphrases

• Energy Efficient 100%
• Computing Systems 100%
• Deadline Constraint 100%
• Moldable Jobs 100%
• Efficient Mapping 100%
• Big Data Computing 100%
• Energy Efficiency 50%
• Big Data Analytics 50%
• Granularity 50%
• Workflow Mapping 50%
• Energy Saving 50%
• Existing Algorithms 50%
• Computing Resources 50%
• Mapping Problem 50%
• Generalization Problem 50%
• Strong NP-hardness 50%
• MapReduce 50%
• Computational Demand 50%
• Fully Polynomial Time Approximation Scheme 50%
• Big Data Workflows 50%
• Dynamic Power 50%
• Moldable 50%
• Task Partitioning 50%
• Hadoop YARN 50%
• Parallel Process Model 50%
• Structured Workflow 50%
• Heterogeneous Cluster 50%
• Homogeneous Cluster 50%
• Miss Rate 50%
• Dynamic Energy Consumption 50%
• Big Data System 50%

Computer Science

• Energy Efficient 100%
• Big Data 100%
• Energy Consumption 50%
• Data Center 50%
• Energy Efficiency 50%
• Big Data Analytics 50%
• Experimental Result 50%
• Granularity 50%
• Computing Resource 50%
• Parallel Computing 50%
• Energy Saving 50%
• Map-Reduce 50%
• Fully Polynomial-Time Approximation Scheme 50%
• Hadoop 50%
• Heterogeneous Cluster 50%
• Homogeneous Cluster 50%
• Big Data System 50%