High-Throughput Data-Intensive Computing: Shared-Scan Scheduling in Scientific Databases and the Cloud
Microsoft
High-Throughput Data-Intensive Computing: Shared-Scan Scheduling in Scientific Databases and the Cloud
Data-intensive computing consists of batch-processing workloads that scan massive data sets in parallel. The focus on data access, data movement, data ingest, and data production means that these workloads overwhelm the network and I/O capabilities of data centers and supercomputers. Major improvements in throughput are available by co ...
2011年6月17日
Data Science
MSc Data Science
MSc Data Science
london.ac.uk
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