Abstract: A mechanism is described for facilitating dynamic data management for computing devices according to one embodiment. A method of embodiments, as described herein, includes tracking one or more factors relating to a plurality of data sets, evaluating the plurality of data sets based on the one or more factors. The evaluating may include speculating at least one of relevancy and accessibility of each of the plurality of data sets. The method may further include generating data scores, the data scores being associated with the plurality of data sets based on the evaluation of the plurality of data sets, performing a first comparison of the data scores of the plurality of data sets with a criteria score, and classifying each data set based on the first comparison. The classifying may include setting caching order for each data set of the plurality of data sets.

Abstract: A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.