Data-driven Processing

• Arrival of data triggers processing

• A message is typically a request

• Server replies and awaits additional requests

• If processing time is small, the requests may be possible to handle sequentially

• Timesharing would be necessary only when the processing load is too high for sequential processing

• Timesharing with multiple slaves is easier