US 10,834,183 B2Granted

Managing idle and active servers in cloud data centers

AssigneeInternational Business Machines Corporation

InventorsJinho Hwang, In Kee Kim, Christopher C. Young, Sai Zeng

Life of this patent

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Abstract

A method, product, and apparatus for treating idle servers in a cloud system provide for extrapolating a purpose of each of a plurality of servers by comparing a list of processes active on the server to a plurality of lists of processes associated with a plurality of purposes; selecting vectors of idle/active features corresponding to the extrapolated purposes of each of the plurality of servers; classifying as idle or active each of the plurality of servers, by assessing the specified feature vectors using a linear support vector machine; validating as idle or active each server classified as idle, by assessing the connectivity of the server with all servers classified as active; and implementing at least one treatment option on servers that have been validated as idle. The treatment options may include terminating, terminating with snapshot, and stopping a virtual machine.

Claims10

Dependent claims

A method comprising:

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 include 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 includes a first plurality of predetermined parameters that are specific to the operation of the analytics server;
a second vector of idle or active features corresponding to the DevOps server includes a second plurality of predetermined parameters that are specific to the operation of the DevOps server, at least one of which is different from the first plurality of predetermined parameters;
and
a third vector of idle or active features corresponding to the development server includes a third plurality of predetermined parameters that are specific to the operation of the development server, at least one of which is different from the first and second pluralities of predetermined parameters;
classifying, by the analyzer executing on at least one hardware processor, as idle or active each of the plurality of servers, by assessing the 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 of the plurality of 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.

9 more elements

A method comprising:

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 include 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 includes a percentage of CPU cycles utilized, a percentage of memory utilized, and a number of open ports;
a second vector of idle or active features corresponding to the DevOps server includes a number of significant processes, a percentage of CPU cycles utilized by significant processes, a percentage of memory utilized by significant processes, and a number of established network connections;
and
a third vector of idle or active features corresponding to the development server includes a number of daytime logins, an average length of logins, a number of secure shells or virtual network connections, and a number of user activity processes;
classifying, by the analyzer executing on at least one hardware processor, as idle or active each of the plurality of servers, by assessing the 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 of the plurality of 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.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/858,860Filed 29 Dec 2017 · continuation
Priority: 29 Mar 2017
Published: US 2018/0288142 A14 Oct 2018
Granted: 10 Nov 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

H04L 67/1031
For accessing one among a plurality of replicated servers: controlling of the operation of servers by a load balancer, e.g. adding or removing…
H04L 43/0811
By checking availability: by checking connectivity
H04L 43/20
Arrangements for monitoring or testing data switching networks: the monitoring system or the monitored elements being virtualised, abstracted or…
H04L 67/1004
For accessing one among a plurality of replicated servers: server selection for load balancing

Family

Application15/472,374Parent of this continuation · filed 29 Mar 2017
US 2018/0288143 A1Pre-grant publication · published 4 Oct 2018
US 10,834,182 B2Related patent
US 2018/0288142 A1Published application
US 10,834,183 B2This patent

From the US filing history. Foreign family members aren’t listed.