IP Library Granted Patent US 11,341,359
Granted Patent B2
US 11,341,359 · App. 16/518,507 · Granted May 24, 2022

Multi-domain monitoring services for intelligent infrastructure automation

Inventors: Valerie Charry (Melrose, MA); James R. King (Norwood, MA)
Assignee: EMC IP Holding Company LLC
G06K9/6224G06F16/2343G06F16/2465G06K9/6257H04L41/12H04L41/16H04L41/22H04L67/16
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Quick Facts
Patent No.
US 11,341,359
App. No.
16/518,507
Granted
May 24, 2022
Kind
B2
Abstract

Data points are collected from multiple infrastructure domains of at least one data center in a computing environment. A graphical representation is generated from the collected data points that represents an infrastructure state of the at least one data center, wherein each vertex in the graphical representation corresponds to one of one or more compute components, one or more storage components, and one or more network components of the data center, and an edge connecting two vertices corresponds to a relationship between the components to which the vertices correspond. The graphical representation representing the infrastructure state of the at least one data center is sent to an infrastructure generation engine for composition with one or more other graphical representations respectively representing the infrastructure state of one or more other data centers in the computing environment.

Claims (46)

1. A method, comprising:

collecting data points from multiple infrastructure domains of at least one data center in a computing environment, wherein a first infrastructure domain comprises one or more compute components, a second infrastructure domain comprises one or more storage components, and a third infrastructure domain comprises one or more network components;

generating a sub-graphical representation from the collected data points that represents an infrastructure state of the at least one data center, wherein each vertex in the sub-graphical representation corresponds to one of the one or more compute components, the one or more storage components, and the one or more network components, and an edge connecting two vertices corresponds to a relationship between the components to which the vertices correspond;

sending the sub-graphical representation representing the infrastructure state of the at least one data center to an infrastructure generation engine;

generating a super-set graphical representation which is a composition of the sub-graphical representation and one or more other sub-graphical representations respectively representing the infrastructure state of one or more other data centers in the computing environment; and

performing management operations of the multiple infrastructure domains based in part on the generated super-set graphical representation;

wherein the sub-graphical representation generating step further comprises generating one or more cross-domain weights from the collected data points for allowing traversals across the respective sub-graphical representations;

wherein the one or more cross-domain weights are generated based at least in part on combining utilization data for respective ones of the one or more compute components, the one or more storage components, and the one or more network components across two or more different graph layers of each of the respective sub-graphical representations associated with two or more different layers of a communication function model of the computing environment;

wherein the one or more cross-domain weights compress at least two of the two or more graph layers of each of the respective sub-graphical representations into a single view characterizing a limiting utilization factor across at least two of the two or more different layers of the communication function model of the computing environment, the limiting utilization factor being utilized for determining path cost minimization across the respective sub-graphical representations; and

wherein the collecting, generating, sending, generating and performing steps are performed via one or more processing devices.

2. The method of claim 1 , wherein the collected data points comprise temporal data points.

3. The method of claim 1 , wherein the collected data points comprise spatial data points.

4. The method of claim 1 , further comprising receiving a query directed the infrastructure state of the at least one data center.

5. The method of claim 4 , further comprising traversing at least a portion of the sub-graphical representation to obtain information relevant to generating a response to the query.

6. The method of claim 5 , further comprising generating a response to the query and sending the response to a source of the query.

7. The method of claim 6 , wherein the source of the query is an operator of the at least one data center.

8. The method of claim 5 , further comprising creating a lock on a set of one or more of the one or more compute components, the one or more storage components, and the one or more network components during generation of a response to the query.

9. The method of claim 1 , further comprising generating a training data model for the at least one data center based on the sub-graphical representation and one or more snapshots of one or more components of the multiple domains.

10. A system, comprising:

at least one processor, coupled to a memory, and configured to:

collect data points from multiple infrastructure domains of at least one data center in a computing environment, wherein a first infrastructure domain comprises one or more compute components, a second infrastructure domain comprises one or more storage components, and a third infrastructure domain comprises one or more network components;

generate a sub-graphical representation from the collected data points that represents an infrastructure state of the at least one data center, wherein each vertex in the sub-graphical representation corresponds to one of the one or more compute components, the one or more storage components, and the one or more network components, and an edge connecting two vertices corresponds to a relationship between the components to which the vertices correspond;

send the sub-graphical representation representing the infrastructure state of the at least one data center to an infrastructure generation engine;

generate a super-set graphical representation which is a composition of the sub-graphical representation and one or more other sub-graphical representations respectively representing the infrastructure state of one or more other data centers in the computing environment; and

perform management operations of the multiple infrastructure domains based in part on the generated super-set graphical representation;

wherein the sub-graphical representation generating step further comprises generating one or more cross-domain weights from the collected data points for allowing traversals across the respective sub-graphical representations;

wherein the one or more cross-domain weights are generated based at least in part on combining utilization data for respective ones of the one or more compute components, the one or more storage components, and the one or more network components across two or more different graph layers of each of the respective sub-graphical representations associated with two or more different layers of a communication function model of the computing environment; and

wherein the one or more cross-domain weights compress at least two of the two or more graph layers of each of the respective sub-graphical representations into a single view characterizing a limiting utilization factor across at least two of the two or more different layers of the communication function model of the computing environment, the limiting utilization factor being utilized for determining path cost minimization across the respective sub-graphical representations.

11. The system of claim 10 , wherein the at least one processor, coupled to the memory, is further configured to receive a query directed the infrastructure state of the at least one data center.

12. The system of claim 11 , wherein the at least one processor, coupled to the memory, is further configured to traverse at least a portion of the sub-graphical representation to obtain information relevant to generating a response to the query.

13. The system of claim 12 , wherein the at least one processor, coupled to the memory, is further configured to create a lock on a set of one or more of the one or more compute components, the one or more storage components, and the one or more network components during generation of a response to the query.

14. The system of claim 10 , wherein the at least one processor, coupled to the memory, is further configured to generate a training data model for the at least one data center based on the sub-graphical representation and one or more snapshots of one or more components of the multiple domains.

15. An article of manufacture comprising a non-transitory processor-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by one or more processing devices implement steps of:

collecting data points from multiple infrastructure domains of at least one data center in a computing environment, wherein a first infrastructure domain comprises one or more compute components, a second infrastructure domain comprises one or more storage components, and a third infrastructure domain comprises one or more network components;

generating a sub-graphical representation from the collected data points that represents an infrastructure state of the at least one data center, wherein each vertex in the sub-graphical representation corresponds to one of the one or more compute components, the one or more storage components, and the one or more network components, and an edge connecting two vertices corresponds to a relationship between the components to which the vertices correspond;

sending the sub-graphical representation representing the infrastructure state of the at least one data center to an infrastructure generation engine;

generating a super-set graphical representation which is a composition of the sub-graphical representation and one or more other sub-graphical representations respectively representing the infrastructure state of one or more other data centers in the computing environment; and

performing management operations of the multiple infrastructure domains based in part on the generated super-set graphical representation;

wherein the sub-graphical representation generating step further comprises generating one or more cross-domain weights from the collected data points for allowing traversals across the respective sub-graphical representations;

wherein the one or more cross-domain weights are generated based at least in part on combining utilization data for respective ones of the one or more compute components, the one or more storage components, and the one or more network components across two or more different graph layers of each of the respective sub-graphical representations associated with two or more different layers of a communication function model of the computing environment; and

wherein the one or more cross-domain weights compress at least two of the two or more graph layers of each of the respective sub-graphical representations into a single view characterizing a limiting utilization factor across at least two of the two or more different layers of the communication function model of the computing environment, the limiting utilization factor being utilized for determining path cost minimization across the respective sub-graphical representations.

16. The article of claim 15 , further comprising receiving a query directed the infrastructure state of the at least one data center.

17. The article of claim 16 , further comprising traversing at least a portion of the sub-graphical representation to obtain information relevant to generating a response to the query.

18. The article of claim 17 , further comprising creating a lock on a set of one or more of the one or more compute components, the one or more storage components, and the one or more network components during generation of a response to the query.

19. The method of claim 1 , wherein the communication function model of the computing environment comprises an Open Systems Interconnection (OSI) Network model, and wherein the at least two of the two or more different layers of the communication function model are associated with a physical layer and a data link layer of the OSI Network model.

20. The system of claim 10 , wherein the communication function model of the computing environment comprises an Open Systems Interconnection (OSI) Network model, and wherein the at least two of the two or more different layers of the communication function model are associated with a physical layer and a data link layer of the OSI Network model.

Assignments (9)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053546/0001) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC IP HOLDING COMPANY LLC
Reel/Frame 071642/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053311/0169) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
Reel/Frame 060438/0742 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (050724/0571) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
Reel/Frame 060436/0088 →
RELEASE OF SECURITY INTEREST AT REEL 050406 FRAME 421 Recorded Nov 2, 2021
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
Reel/Frame 058213/0825 →
SECURITY INTEREST Recorded Jun 5, 2020
From: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS COLLATERAL AGENT
Reel/Frame 053311/0169 →
SECURITY AGREEMENT Recorded Apr 22, 2020
From: CREDANT TECHNOLOGIES INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 053546/0001 →
PATENT SECURITY AGREEMENT (NOTES) Recorded Oct 15, 2019
From: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS COLLATERAL AGENT
Reel/Frame 050724/0571 →
SECURITY AGREEMENT Recorded Sep 17, 2019
From: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
Reel/Frame 050406/0421 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2019
From: CHARRY, VALERIE; KING, JAMES R.
To: EMC IP HOLDING COMPANY LLC
Reel/Frame 049822/0812 →