Managing idle and active servers in cloud data centers

A non-transitory computer readable medium comprising computer executable instructions which when executed by a computer cause the computer to perform the method of:

• extrapolating, by an analyzer executing on at least one hardware processor, a purpose of each of a plurality of servers by comparing a categorized list of processes active on each of the plurality of servers to a plurality of lists of processes associated with a plurality of purposes, wherein a list of processes active on each server is collected by at least one data collector agent running on the plurality of servers and the plurality of purposes comprise an analytics server, a DevOps server, and a development server;
• selecting, by the analyzer executing on at least one hardware processor, vectors of idle or active features corresponding to the extrapolated purposes of each of the plurality of servers, wherein:
• a first vector of idle or active features corresponding to the analytics server comprises a first plurality of predetermined parameters, which are specific to the operation of the analytics server;
• a second vector of idle or active features corresponding to the DevOps server comprises a second plurality of predetermined parameters, at least one of which is different from the first plurality of parameters, which are specific to the operation of the DevOps server;
• and
• a third vector of idle or active features corresponding to the development server comprises a third plurality of predetermined parameters, at least one of which is different from the first and second pluralities of parameters, which are specific to the operation of the development server;
• wherein the first plurality of predetermined parameters, the second plurality of predetermined parameters and the third plurality of predetermined parameters are extracted from a dataset collected by the plurality of data collector agents;
• classifying, by the analyzer executing on at least one hardware processor, as idle or active each of the plurality of servers, by assessing the specified idle or active feature vectors corresponding to the analytics server, the DevOps server, and the development server using a linear support vector machine, wherein the linear support vector machine finds a plurality of data points that define a hyperplane that separates all data points of the idle or active feature vectors, and determines whether each server is idle or active based on coordinates of the hyperplane;
• validating, by the analyzer executing on at least one hardware processor, as idle or active each server classified as idle, by assessing the connectivity of each server classified as idle with all servers classified as active;
• developing, by an action plan generator executing on at least one other hardware processor, treatment options for idle servers;
• and
• implementing, by a cloud data center manager executing on at least one other hardware processor, at least one treatment option on servers that have been validated as idle, wherein the treatment option is selected from the list consisting of:
• terminating a virtual machine, terminating the virtual machine with snapshot, and stopping the virtual machine.