Database Futures Workshop

Session

Going beyond relational

30 May 2017, 09:00

IT Auditorium (CERN)

Conveners

Going beyond relational

• Ignacio Coterillo Coz (CERN)
• Jose Carlos Luna Duran (CERN)

9. The ATLAS EventIndex: possible evolution towards an Event Whiteboard

Dario Barberis (Università e INFN Genova (IT))

30/05/2017, 09:00

Going beyond relational

The ATLAS EventIndex was designed during LS2 to satisfy a small but important number of use cases, primarily event picking. Its contents and storage architecture were tailored to the primary use cases, favouring performance and robustness over the possibility to expand its scope. The EventIndex is in operation since the start of Run2 and shows satisfactory performance for event picking and...

10. ATLAS ADC analytics

Mario Lassnig (CERN), Ilija Vukotic (University of Chicago (US))

30/05/2017, 09:20

Going beyond relational

The ATLAS Analytics effort is focused on creating systems which provide ATLAS Distributed Computing (ADC) with new capabilities for understanding distributed systems and overall operational performance. These capabilities include to correlate information from multiple systems (PanDA, Rucio, FTS, Dashboards, Tier0, PilotFactory, ...), predictive analytics to execute arbitrary data mining or...

11. ATLAS configuration database evolution

Dr Leonidas Georgopoulos (CERN)

30/05/2017, 09:40

Going beyond relational

We introduce a first working implementation of a distributed object store along with a network cache for distribution of information in the ATLAS Trigger and Data Acquisition (TDAQ) system primarily during system online configuration. The TDAQ system of the ATLAS detector at the Large Hadron Collider at CERN is a large distributed system at a range of a few tens thousand processes and servers...

33. ElasticSearch

Ulrich Schwickerath (CERN)

30/05/2017, 10:00

Going beyond relational

38. ClickHouse - realtime analytical DBMS

Алексей Миловидов

30/05/2017, 10:50

In my talk, I will present brief history and motivation behind ClickHouse
- distributed analytical DBMS, designed for maximum query execution speed.
I will tell about architectural choices and usage scenarios.
Then I will show typical and some unusual applications of ClickHouse in companies around the world; Also I plan to highlight available tools, integrations and ClickHouse community.

30. Time Series databases

Antonio Romero Marin (CERN)

30/05/2017, 11:10

Going beyond relational

36. Kafka

Lionel Cons (CERN)

30/05/2017, 11:30