Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines.
Riccardo CantiniFabrizio MarozzoAlessio OrsinoDomenico TaliaPaolo TrunfioPublished in: Future Internet (2021)
Keyphrases
- data intensive
- parallel machines
- machine learning
- web services
- data management
- scheduling problem
- unrelated parallel machines
- data access
- query plan
- massively parallel
- big data
- data processing
- parallel computing
- single server
- business processes
- grid computing
- shared memory
- data mining
- message passing
- graphical models
- np hard