CLIAMS:We claim:
1. A method for estimating optimal resources for server virtualization, comprising:
receiving, by an estimation computing device, input data relating to requirements of server virtualization from a user device;
filtering, by the estimation computing device, the input data by applying filtering rules;
generating, by the estimation computing device, current IT landscape information of a set of servers using the filtered input data;
determining, by the estimation computing device, values of virtualization parameters for a set of target servers using the current IT landscape information and predefined rules; and
determining, by the estimation computing device, IT landscape information of the set of target servers using the current IT landscape information and the values of virtualization parameters for estimating optimal resources for server virtualization.
2. The method as claimed in claim 1 further comprising dynamically generating a report on the IT landscape information of the set of target servers.
3. The method as claimed in claim 1 further comprising updating the predefined rules based on patterns in estimating resources for the server virtualization.
4. The method as claimed in claim 1, wherein the filtering rules are based on at least one of:
type of operating system, type of applications, and location of the plurality of servers.
5. The method as claimed in claim 1, wherein determining the current IT landscape information of the set of servers comprises formatting the filtered input data based on a predefined format of a virtualization system.
6. The method as claimed in claim 5 further comprising mapping default values to one or more columns in the formatted input data, for which data are not provided while receiving the formatted input data, wherein the default values are received from the user device.
7. An estimation computing device for estimating optimal resources for server virtualization, comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, causes the processor to:
receive input data relating to requirements of server virtualization from a user device;
filter the input data by applying filtering rules;
generate current IT landscape information of set of servers using the filtered input data;
determine values of virtualization parameters for a set of target servers using the current IT landscape information and predefined rules; and
determine IT landscape information of the set of target servers using the current IT landscape information and the values of virtualization parameters for estimating optimal resources for server virtualization.
8. The estimation computing device as claimed in claim 7, wherein the processor is further configured to dynamically generate a report on the landscape information of the set of target servers.
9. The estimation computing device as claimed in claim 7, wherein the processor is further configured to update the predefined rules based on patterns in estimating resources for the server virtualization.
10. The estimation computing device as claimed in claim 7, wherein the filtering rules are based on at least one of:
type of operating system, type of applications, type and location of the plurality of servers.
11. The estimation computing device as claimed in claim 7, wherein the processor is configured to determine the current IT landscape information of the set of servers by formatting the filtered input data based on a predefined format of a virtualization system.

12. The estimation computing device as claimed in claim 11, wherein the processor is further configured to map default values to one or more columns in the formatted input data, for which data are not provided while receiving the formatted input data, wherein the default values are received from the user device.
15. A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor cause an estimation computing device to perform operations comprising:
receiving input data relating to requirements of server virtualization from a user device;
filtering the input data by applying filtering rules;
generating current IT landscape information of set of servers using the filtered input data;
determining values of virtualization parameters for a set of target servers using the current IT landscape information and predefined rules; and
determining IT landscape information of the set of target servers using the current IT landscape information and the values of virtualization parameters for estimating optimal resources for server virtualization.
16. The medium as claimed in claim 15, wherein the instructions further cause the at least one processor to perform operations comprising dynamically generating a report on the IT landscape information of the set of target servers.
17. The medium as claimed in claim 15, wherein the instructions further cause the at least one processor to perform operations comprising updating the predefined rules based on patterns in estimating resources for the server virtualization.
18. The medium as claimed in claim 15, wherein the instructions further cause the at least one processor to perform operations comprising determining the current IT landscape information of the set of servers by formatting the filtered input data based on a predefined format of a virtualization system.
19. The medium as claimed in claim 15, wherein the instructions further cause the at least one processor to perform operations comprising mapping default values to one or more columns in the formatted input data, for which data are not provided while receiving the formatted input data, wherein the default values are received from the user device.

Dated this 11th day of February 2015
R RAMYA RAO
OF K & S PARTNERS
AGENT FOR THE APPLICANT
,TagSPECI:TECHNICAL FIELD

The present subject matter is related, in general to Information Technology (IT) systems and infrastructure, and more particularly, but not exclusively to a method and a system for estimating optimal resources for server virtualization.