Details

Autor(en) / Beteiligte

• Mehta, A.
• Gupta, C.
• Song Wang
• Dayal, U.

Titel

rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses

Ist Teil von

• 2009 IEEE 25th International Conference on Data Engineering, 2009, p.1455-1458

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Quelle

IEEE Xplore

Beschreibungen/Notizen

• A typical online business intelligence (BI) workload consists of a combination of short, less intensive queries, along with long, resource intensive queries. As such, the longest queries in a typical BI workload may take several orders of magnitude more time to execute, compared with the shortest queries in the workload. This makes it challenging to design a good mixed workload scheduler (MWS). In this paper we first define the design criteria that make a 'good' MWS. We then use these criteria to design rFEED, a MWS that is fair, effective, efficient, and differentiated. We simulate real workloads and compare our rFEED MWS with models of the current best of breed commercial systems. We show that the rFEED MWS works extremely well.