  Cloud computing has gained interest amongst commercial organizations,
research communities, developers and other individuals during the past few
years.In order to move ahead with research in field of data management and
processing of such data, we need benchmark datasets and freely available data
which are publicly accessible. Google in May 2011 released a trace of a cluster
of 11k machines referred as Google Cluster Trace.This trace contains cell
information of about 29 days.This paper provides analysis of resource usage and
requirements in this trace and is an attempt to give an insight into such kind
of production trace similar to the ones in cloud environment.The major
contributions of this paper include Statistical Profile of Jobs based on
resource usage, clustering of Workload Patterns and Classification of jobs into
different types based on k-means clustering.Though there have been earlier
works for analysis of this trace, but our analysis provides several new
findings such as jobs in a production trace are trimodal and there occurs
symmetry in the tasks within a long job type
