Vmware, Inc.

Chethana Hebbal Basavarajappa

Amita Ranjan

Kavya Reddy Musani

A method is provided to predict a disaster for a computer system based on logs. The method includes representing existing logs as first vectors by tokenizing the existing logs and partitioning the first vectors into clusters. The clusters represent disaster types. The method further includes selecting representative vectors for the clusters, representing a new log of the computer system as a second vector by tokenizing the new log, matching the second vector to a cluster by comparing the second vector and the representative vectors, and categorizing the new log as a disaster type represented by the cluster.

Disaster prediction recovery: statistical content based filter for software as a service

A method may include generating, by a diagnosis manager, a plurality of pre-processed files based on a plurality of log files containing operational information related to one or more of the plurality of modules operating in the cloud environment. The method may include generating a set of weightage matrices based on a plurality of tokens extracted from the plurality of pre-processed files, and identifying a plurality of clusters based on the set of weightage matrices. The method may further include determining, by a resolution manager coupled with the diagnosis manager, an operational issue for a specific module selected from the plurality of modules and associated with a specific cluster selected from the plurality of clusters, based on the subset of tokens associated with the specific cluster; and performing a predefined action on the specific module based on the operational issue.

Growing community of inventors

Bengaluru, India

Chethana Hebbal Basavarajappa