Abstract: A method of managing resources in a cloud environment is disclosed. The method includes receiving a plurality of parameters associated with an event. The method further includes comparing a value of each of the plurality of parameters with a predefined threshold range. The method includes converting the value of each of the plurality of parameters into a vector, when the value of each of the plurality of parameters is within the predefined threshold range. The method further includes training a neural network based on the vector of the value of each of the plurality of parameters, wherein the neural network is trained to manage the event. The method includes storing an output of the trained neural network in a database in response to the training. The output corresponds to management of the event and the database further comprises a mapping of the event to the trained neural network. FIG. 5
Claims:WE CLAIM
1. A method of managing resources in a cloud environment, the method comprising:
receiving from at least one layer in the cloud environment, by a resource managing device, a plurality of parameters associated with an event;
predicting, by the resource managing device, a value of each of the plurality of parameters based on a plurality of information associated with the plurality of parameters;
comparing, by the resource managing device, the value of each of the plurality of parameters with a predefined threshold range;
converting, by the resource managing device, the value of each of the plurality of parameters into a vector, when the value of each of the plurality of parameters is within the predefined threshold range;
training, by the resource managing device, a neural network based on the vector of the value of each of the plurality of parameters, wherein the neural network is trained to manage the event; and
storing, by the resource managing device, an output of the trained neural network in a database in response to the training, wherein the output corresponds to management of the event, and wherein the database further comprises a mapping of the event to the trained neural network.
2. The method of claim 1, wherein the at least one layer comprises at least one of a management layer, a security layer, a network layer, a database layer, a data storage layer, or an application layer.
3. The method of claim 2, wherein the plurality of parameters are retrieved from a log database associated with each of the at least one layer, and wherein the log database comprises a plurality of logs associated with the event.
4. The method of claim 1, further comprising:
determining at least one attribute associated with the event; and
updating the predefined threshold range based on the at least one attribute.
5. The method of claim 1, further comprising discarding the plurality of parameters, when the value of at least one of the plurality of parameters is below the predefined threshold range.
6. The method of claim 1, further comprising matching the event with a list of events in the database, when the value of each of the plurality of parameters is above the predefined threshold range, wherein the database comprises mapping of each of the list of events with an associated trained neural network.
7. The method of claim 1, further comprising:
detecting occurrence of the event in the cloud environment; and
deploying the trained neural network to manage the event, based on the mapping in the database.
8. A resource managing device in a cloud environment, the resource managing device comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:
receive from at least one layer in the cloud environment, a plurality of parameters associated with an event;
predict a value of each of the plurality of parameters based on a plurality of information associated with the plurality of parameters;
compare the value of each of the plurality of parameters with a predefined threshold range;
convert the value of each of the plurality of parameters into a vector, when the value of each of the plurality of parameters is within the predefined threshold range;
train a neural network based on the vector of the value of each of the plurality of parameters, wherein the neural network is trained to manage the event; and
store an output of the trained neural network in a database in response to the training, wherein the output corresponds to management of the event, and wherein the database further comprises a mapping of the event to the trained neural network.
9. The resource managing device of claim 8, wherein the processor instructions further cause the processor to:
determine at least one attribute associated with the event; and
update the predefined threshold range based on the at least one attribute.
10. The resource managing device of claim 8, wherein the processor instructions further cause the processor to discard the plurality of parameters, when the value of at least one of the plurality of parameters is below the predefined threshold range.
Dated this 12th day of February 2019
Madhusudan S.T
Of K&S Partners
Agent for the Applicant
IN/PA-1297 , Description:TECHNICAL FIELD
This disclosure relates generally to cloud environment, and more particularly to a method and system for managing resources in cloud environment.
| # | Name | Date |
|---|---|---|
| 1 | 201941005523-PROOF OF ALTERATION [25-06-2024(online)].pdf | 2024-06-25 |
| 1 | 201941005523-STATEMENT OF UNDERTAKING (FORM 3) [12-02-2019(online)].pdf | 2019-02-12 |
| 2 | 201941005523-IntimationOfGrant14-03-2024.pdf | 2024-03-14 |
| 2 | 201941005523-Request Letter-Correspondence [12-02-2019(online)].pdf | 2019-02-12 |
| 3 | 201941005523-REQUEST FOR EXAMINATION (FORM-18) [12-02-2019(online)].pdf | 2019-02-12 |
| 3 | 201941005523-PatentCertificate14-03-2024.pdf | 2024-03-14 |
| 4 | 201941005523-POWER OF AUTHORITY [12-02-2019(online)].pdf | 2019-02-12 |
| 4 | 201941005523-FER.pdf | 2021-10-17 |
| 5 | 201941005523-Power of Attorney [12-02-2019(online)].pdf | 2019-02-12 |
| 5 | 201941005523-CLAIMS [28-07-2021(online)].pdf | 2021-07-28 |
| 6 | 201941005523-FORM 18 [12-02-2019(online)].pdf | 2019-02-12 |
| 6 | 201941005523-COMPLETE SPECIFICATION [28-07-2021(online)].pdf | 2021-07-28 |
| 7 | 201941005523-FORM 1 [12-02-2019(online)].pdf | 2019-02-12 |
| 7 | 201941005523-CORRESPONDENCE [28-07-2021(online)].pdf | 2021-07-28 |
| 8 | 201941005523-Form 1 (Submitted on date of filing) [12-02-2019(online)].pdf | 2019-02-12 |
| 8 | 201941005523-DRAWING [28-07-2021(online)].pdf | 2021-07-28 |
| 9 | 201941005523-DRAWINGS [12-02-2019(online)].pdf | 2019-02-12 |
| 9 | 201941005523-FER_SER_REPLY [28-07-2021(online)].pdf | 2021-07-28 |
| 10 | 201941005523-DECLARATION OF INVENTORSHIP (FORM 5) [12-02-2019(online)].pdf | 2019-02-12 |
| 10 | 201941005523-FORM 3 [28-07-2021(online)].pdf | 2021-07-28 |
| 11 | 201941005523-COMPLETE SPECIFICATION [12-02-2019(online)].pdf | 2019-02-12 |
| 11 | 201941005523-Information under section 8(2) [28-07-2021(online)].pdf | 2021-07-28 |
| 12 | 201941005523-OTHERS [28-07-2021(online)].pdf | 2021-07-28 |
| 12 | 201941005523-RELEVANT DOCUMENTS [28-07-2021(online)].pdf | 2021-07-28 |
| 13 | 201941005523-PETITION UNDER RULE 137 [28-07-2021(online)]-1.pdf | 2021-07-28 |
| 13 | 201941005523-RELEVANT DOCUMENTS [28-07-2021(online)]-1.pdf | 2021-07-28 |
| 14 | 201941005523-PETITION UNDER RULE 137 [28-07-2021(online)].pdf | 2021-07-28 |
| 14 | 201941005523-Proof of Right [28-07-2021(online)].pdf | 2021-07-28 |
| 15 | 201941005523-PETITION UNDER RULE 137 [28-07-2021(online)].pdf | 2021-07-28 |
| 15 | 201941005523-Proof of Right [28-07-2021(online)].pdf | 2021-07-28 |
| 16 | 201941005523-PETITION UNDER RULE 137 [28-07-2021(online)]-1.pdf | 2021-07-28 |
| 16 | 201941005523-RELEVANT DOCUMENTS [28-07-2021(online)]-1.pdf | 2021-07-28 |
| 17 | 201941005523-RELEVANT DOCUMENTS [28-07-2021(online)].pdf | 2021-07-28 |
| 17 | 201941005523-OTHERS [28-07-2021(online)].pdf | 2021-07-28 |
| 18 | 201941005523-COMPLETE SPECIFICATION [12-02-2019(online)].pdf | 2019-02-12 |
| 18 | 201941005523-Information under section 8(2) [28-07-2021(online)].pdf | 2021-07-28 |
| 19 | 201941005523-DECLARATION OF INVENTORSHIP (FORM 5) [12-02-2019(online)].pdf | 2019-02-12 |
| 19 | 201941005523-FORM 3 [28-07-2021(online)].pdf | 2021-07-28 |
| 20 | 201941005523-DRAWINGS [12-02-2019(online)].pdf | 2019-02-12 |
| 20 | 201941005523-FER_SER_REPLY [28-07-2021(online)].pdf | 2021-07-28 |
| 21 | 201941005523-DRAWING [28-07-2021(online)].pdf | 2021-07-28 |
| 21 | 201941005523-Form 1 (Submitted on date of filing) [12-02-2019(online)].pdf | 2019-02-12 |
| 22 | 201941005523-CORRESPONDENCE [28-07-2021(online)].pdf | 2021-07-28 |
| 22 | 201941005523-FORM 1 [12-02-2019(online)].pdf | 2019-02-12 |
| 23 | 201941005523-COMPLETE SPECIFICATION [28-07-2021(online)].pdf | 2021-07-28 |
| 23 | 201941005523-FORM 18 [12-02-2019(online)].pdf | 2019-02-12 |
| 24 | 201941005523-CLAIMS [28-07-2021(online)].pdf | 2021-07-28 |
| 24 | 201941005523-Power of Attorney [12-02-2019(online)].pdf | 2019-02-12 |
| 25 | 201941005523-POWER OF AUTHORITY [12-02-2019(online)].pdf | 2019-02-12 |
| 25 | 201941005523-FER.pdf | 2021-10-17 |
| 26 | 201941005523-REQUEST FOR EXAMINATION (FORM-18) [12-02-2019(online)].pdf | 2019-02-12 |
| 26 | 201941005523-PatentCertificate14-03-2024.pdf | 2024-03-14 |
| 27 | 201941005523-Request Letter-Correspondence [12-02-2019(online)].pdf | 2019-02-12 |
| 27 | 201941005523-IntimationOfGrant14-03-2024.pdf | 2024-03-14 |
| 28 | 201941005523-STATEMENT OF UNDERTAKING (FORM 3) [12-02-2019(online)].pdf | 2019-02-12 |
| 28 | 201941005523-PROOF OF ALTERATION [25-06-2024(online)].pdf | 2024-06-25 |
| 1 | 2021-02-0311-06-39E_03-02-2021.pdf |
| 1 | SearchHistoryAE_28-10-2021.pdf |
| 2 | 2021-02-0311-06-39E_03-02-2021.pdf |
| 2 | SearchHistoryAE_28-10-2021.pdf |