Tuning GridFTP Pipelining, Concurrency and Parallelism Based on Historical Data.
Jangyoung KimPublished in: IEICE Trans. Inf. Syst. (2014)
Keyphrases
- historical data
- parallel processing
- fine grain
- nested transactions
- data flow
- concurrency control
- demand forecasting
- predictive model
- data mining techniques
- stock price
- database systems
- shared memory
- parallel execution
- stream data
- computational power
- customer behavior
- massively parallel
- parallel computation
- power plant
- level parallelism
- data mining technology
- real world
- distributed databases
- software systems
- artificial neural networks