Test of the ALICE DDL: Test setups and Test of ALICE DDL Integration to ALICE TPC test system

Presentation made at the 4th Workshop on Electronics for LHC Experiments, INFN Rome, 21-25 September 1998.The Detector Data Link (DDL) has been developed to constitute a standard interface between the ALICE sub-detectors and the DAQ system.In this paper we present the test environment and the application software library made for supporting the DDL development and its integration into the ALICE detector system. The test setups contain VME64 crates, MVME processor cards, a VMETRO analyser, a logic-analyser and Read-out-Receiver (RORC) andDestination-Interface-Unit (DIU) cards. They made possible to measure the maximum throughput of the full read-out chain and also to measurethe transmission latencies. They support the functional and long-term stability tests as well

The ALICE DAQ: Current Status and Future Challenges

Proposal of abstract for CHEP2000The ALICE DAQ system has been designed to support an aggregate eventr building bandwidth of up to 2.5 GByte/s and a storage capability o fup to 1.25 GByte/s to mass storage.A general framework called the ALICE Data Acquisition Test Environment (DATE) system has been developed as a basis for prototyping the components of the DAQ. DATE supports a wide spectrum of configurations from simple systems to more complex systems with multiple detectors and multiple event builders.Prototypes of several key components of the ALICE DAQ have been developed and integrated with the DATE system, such as the ALICE Detector Data Link, the online data monitoring from ROOT and the interface to the Mass Storage systems. Combined tests of several of these components are pursued during the ALICE Data Challenges.The architecture of the ALICE DAQ system will be presented together with the current status of the different prototypes. The recent addition of a Transition Radiation Detector (TRD) to ALICE has required a revision of the requirements and the architecture of the DAQ. This will allow a higher level of data selection. These new opportunities and implementation challenges will also be presented