Speaker
G. Rubini
(INFN-CNAF)
Description
Analyzing Grid monitoring data requires the capability of dealing with
multidimensional concepts intrinsic to Grid systems. The meaningful
dimensions identified in recent works are the physical dimension
referring to geographical location of resources, the Virtual
Organization (VO) dimension, the time dimension and the monitoring
metrics dimension. In this paper, we discuss the application of
On-Line Analytical Processing (OLAP), an approach to the fast
analysis of shared multidimensional information, to the mentioned
problem. OLAP relies on structures called `OLAP cubes', that are
created by a reorganization of data contained inside a
relational database, thus transforming operational data into
dimensional data.
Our OLAP model is a four-dimension cuboid based on time, geographic,
Virtual Organization (VO), and monitoring metric. Time and geographic
dimensions have total order relation and form two concept
hierarchies, respectively hours<days<weeks<months
and services<hosts<sites<countries. This model is applied to a set of
Grid monitoring data generated by a monitoring tool called GridICE.
Primary authors
G. Rubini
(INFN-CNAF)
G. Tortone
(INFN-Napoli)
N. De Bortoli
(INFN-Napoli)
S. Andreozzi
(INFN-CNAF)
S. Fantinel
(INFN-LNL)
