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A Method And A System For Automating An Enterprise Network Optimization

Abstract: A method for optimizing a distributed enterprise information technology (IT) network infrastructure  wherein the IT infrastructure comprises at least one server  at least one storage element  and at least one network element. The method comprises processor implemented steps of collecting data and arranging the collected data pertaining to an existing state of the information technology network infrastructure in a first set of templates. The method further comprises of mapping the existing state and a new state of at least one of the servers and the storage elements with the existing set of network elements using the first set of templates to form a second set of templates  wherein the method further comprises of planning the new state of the IT network infrastructure for transformation using the first set of templates and the second set of templates  the new state being the optimized state.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
26 March 2012
Publication Number
45/2013
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
Parent Application
Patent Number
Legal Status
Grant Date
2022-09-08
Renewal Date

Applicants

Tata Consultancy Services Limited
Nirmal Building, 9th Floor, Nariman Point  Mumbai 400021, Maharashtra  India

Inventors

1. Shameemraj M Nadaf
Tata Consultancy Services, Abhilash Bldg Plot No 96 EPIP Industrial area  Whitefield, Bangalore 560066  Karnataka  India.
2. Hemant Kumar Rath
Tata Consultancy Services  Abhilash Bldg Plot No 96 EPIP Industrial area  Whitefield  Bangalore 560066  Karnataka  India
3. Anantha Simha
Tata Consultancy Services  Abhilash Bldg Plot No 96 EPIP Industrial area  Whitefield  Bangalore 560066  Karnataka  India

Specification

FORM 2

THE PATENTS ACT  1970
(39 of 1970)
&
THE PATENT RULES  2003

COMPLETE SPECIFICATION

(See Section 10 and Rule 13)

Title of invention:

A METHOD AND A SYSTEM FOR AUTOMATING AN ENTERPRISE NETWORK OPTIMIZATION

Applicant:
TATA Consultancy Services Limited

A company Incorporated in India under The Companies Act  1956
Having address:
Nirmal Building  9th Floor 
Nariman Point  Mumbai 400021 
Maharashtra  India

The following specification particularly describes the invention and the manner in which it is to be performed.

FIELD OF THE INVENTION

The present invention relates to optimization of data centers. Particularly the invention provides a method and system for optimizing networks in data centers and transformation of the data centers for consolidation.

BACKGROUND OF THE INVENTION

To support the consumer requirements  organizations across the information technology sector house big and complex IT infrastructure at different locations. These complexes  also known as data centers  comprise a variety of equipments such as plurality of servers  plurality of storages devices  various equipments such as telecommunication  networking  switch and other electronic equipment.

Introduction of new products or services  often flood the businesses with large number of consumers and their queries  making it necessary to refresh the infrastructure to meet the needs. However  the existing economic situation and challenges faced by a chief information officer (CIO) does not permit an organization to invest in refreshing the existing infrastructure.

One of the major challenges faced by a CIO is to run the IT operations both at organizational level and at data centers as a profit center rather than as a cost center as it accounts for 10-20% of total cost of ownership. To meet the challenge the CIO has to find way by which he or she can consolidate multiple data centers to fewer ones  optimize the network infrastructure at the existing data centre  so that the cost of operations can be reduced. However  to dynamically optimize or transform the data centre or IT infrastructure  the CIO has to depend upon network vendors such as Cisco  Juniper to carry out necessary network related modifications.
The patent application US20070299746 by Haley et al. discloses a convergence tool for analyzing an information technology infrastructure that integrates network performance  quality of experience (QoE)  and anticipated financial return parameters  which are interdependent on one another. One aspect of the invention includes a method including a step of identifying an information technology infrastructure configuration having an estimated subscriber load resulting from at least one service provided over the infrastructure. Performance metrics for the infrastructure can be computed based upon the subscriber load. Quality of experience metrics for subscribers receiving the service via the infrastructure can be determined based in part upon the computed performance metrics. Financial metrics can be calculated that are based in part upon an expected subscriber population  which is based in part upon the determined quality of experience metrics. The expected subscriber population can be used to adjust the estimated subscriber load. Haley et al. provides information relating to capacity upgradation of a network or data center by predicting the load and performance of the network and lays not emphasis on system re-architecting of the existing setup.

US20060053094 by Prasad et. al. discloses a method for self-service  automated information technology infrastructure management system that includes receiving minimal information pertaining to an information technology infrastructure from a user at a web portal  automatically gathering additional infrastructure information using the minimal information received from the user  and automatically monitoring the information technology infrastructure by collecting infrastructure data and examining the collected infrastructure data for a deviation from a normal operating condition. The disclosure by Prasad et. al. mainly focuses on analyzing the existing setup of the network infrastructure by performing as a management tool for operation.
The method and system disclosed in US20110022812 application filed by Linden et al. teaches about establishing a cloud bridge between two virtual storage resources and for transmitting data from one first virtual storage resource to the other virtual storage resource. The system disclosed includes a first virtual storage resource or cloud  and a storage delivery management service that executes on a computer and within the first virtual storage resource. The storage delivery management service receives user credentials of a user that identifies a storage adapter. Upon receiving the user credentials  the storage delivery management service invokes the storage adapter which then executes an interface that identifies a second virtual storage resource and includes an interface translation file. The storage delivery management service accesses the second virtual storage resource and establishes a cloud bridge with the second virtual storage resource using information obtained from the second virtual storage resource and information translated by the storage adapter using the interface translation file. Linden et al. provides a cloud bridge between virtual storage devices for performance monitoring and reporting.

US20100042449 by Thomas discloses a method according to an embodiment that comprises accessing one or more parameters based on an IT service request received from an upper-layer IT interface  the parameters formatted according to an upper-layer IT interface construct. Appropriate IT domains are determined  according to at least a portion of the parameters  from a number of IT domains for implementing IT infrastructure for fulfilling the request  the domains each associated with one or more vendor-specific solutions for providing IT infrastructure of a type associated with the domain. Using a common semantic inter-relational data model that includes mappings of constructs for upper-layer IT interfaces to constructs for IT domains  at least a portion of the parameters are translated from the upper-layer IT interface construct into constructs suitable for use by the determined appropriate domains. One or more parameterized instructions operable to cause appropriate vendor-specific implementations of the determined appropriate domains to implement appropriate infrastructure for fulfilling the request are communicated. The system deals with monitoring and reporting of heterogeneous infrastructure.

The US2002069102 application by Vellante et al. discloses a method and system for assessing and quantifying the business value of an information technology application or set of applications  particularly as those application or applications are subjected to a proposed change or variation. The method includes steps wherein a base application value is derived  following which a business experience based coefficient or factor is derived and  by using that coefficient or factor  the base application value is uplifted to provide an actual application value for an application or applications. A potential business value is derived by operating on the actual application value with a value representing the perceived value of an enablement attribute construct corresponding with the noted change to be applied. The ultimately sought net business value is derived for an application by removing the operational cost of the application from the potential business value. As an adjunct to the method the actual application value may be increased by the value of the highest optimized business value of an enablement attribute construct of the application to provide upper bound maximum business value of an application for comparing the relative results of any given analysis.

Peng et al. in “On-Demand Services Composition and Infrastructure Management” describes about several engineering applications that involves distributed software services. Due to the complexity of these applications  an efficient and flexible service composition framework is needed. A reference service composition framework is introduced to address two issues prevailing in current service composition: interface incompatibility and performance. The reference framework applies active mediation to enhance efficient execution of applications employing composed services. As the number of services becomes large  the composed application imposes challenge on the service infrastructure management. A reliability model is introduced for building an automatic infra-structure management paradigm.

The paper by Wang  “Towards an Automatic IT Infrastructure Management Paradigm for Manufactory and Enterprise” describes about mission critical manufactory and enterprise IT infrastructure and on-line internet services require 24x7 availability and usually have an agreed Service Level Agreements (SLA) around its services offering. Currently  most enterprise and manufactory IT datacenters experience severe problems managing the large N tier  networked environments that these mission critical systems run on. Most of these problems arise from the complexity of the infrastructure (containing many moving parts) itself rather than building the applications. Maintainability of the IT system for long-term operational efficiency is largely missing. On the other hand  new IT technologies aiming at automating the deployment and maintenance of IT infrastructure are emerging. One promising technology is that of autonomic computing where the IT infrastructure and its components are self-configuring  self healing  self-optimizing and self-protecting and thus free of the management complexity to a large degree. This paper proposes a management model for enterprise IT infrastructure using self-managing paradigm for enterprise IT system and then describes the procedure for using the model as the basis for providing realistic Quality of Service (QoS) and SLA for IT infrastructure services. We also suggest this autonomic infrastructure management model be applied to the management of complex manufacturing systems  including the management of the enhanced agile/lean/integration and configurable manufacturing systems. To summarize the reference  it teaches about managing existing IT infrastructure based on self-managing paradigm.

Graupner in “Architecture for the Automated Management of Data Center IT Infrastructure” describes about IT Infrastructure Management in the Data Center. The overall goals of operating systems and IT infrastructure management in a data center are essentially similar: to execute applications and deliver computational services in a controlled and coordinated manner. Like in operating systems  portions of data center components must be selected  configured and transformed into resources that can drive applications. In a data center  these activities are performed by organizations of specialists who are concerned with decision-making and execution of IT management tasks. Management systems are directed towards supporting people  they provide little support for autonomous decision making and management task automation. The management of a data center is a complex and thus fragmented task. Higher-ordered tasks  such as resource allocation and scheduling  are performed as planning tasks by one group of specialists. Another group is concerned with configuration and deployment  while yet another is in charge of operational management. Different specializations have emerged for different domains. Servers  networks and storage are largely managed separately by different groups of specialists today. The paper discloses about managing of an existing IT system but fails to disclose about a modified IT landscape in a transformed enterprise.

A publication by IBM  “IT Transformation and Optimization Consulting Services - IT optimization solution framing” describes about a comprehensive roadmap designed to help reduce IT costs and complexity and improve service levels. The publication teaches about delivering an umbrella of services to address the complexities of evaluating  rationalizing and right-sizing an IT organization. The paper helps to enable more effective and efficient response to changing marketplace opportunities by facilitating the alignment of financial  business and IT objectives. The reference assists in lowering total cost of ownership through improved asset utilization and reduced asset acquisition.

Jain in “Network Infrastructure Management System & Sla Generation Tool” aims at giving a simplified solution to network device management at the data centers of various countries for the whole organization which also provides a graphical user interface for internal DNS server using MYSQL database in the backend. The reference teaches about a new automatic service level agreement (SLA) generation tool for a computer system and network monitoring software application (Nagios) and developed scripts for updating SharePoint’s database. The focus of the paper is network management and SLA generation.

A publication by Design  “On Network Infrastructure Management” describes about setting of industries ‘best practice’ standards for company IT policy and procedures  enhancing the availability and accessibility of information  promoting adaptability of network resources to target your business needs  ensuring interoperability between network infrastructure and external sources maintaining strict change control policies and procedures and ensuring the effective management and optimal operation of key network infrastructure devices.

The above mentioned prior arts fail to disclose an efficient method and system for re-architecting the WAN/LAN/SAN. Another drawback observed in the references cited above is that present systems do not consider existing data to compute new infrastructure taking into account other changes happening in the infrastructure environment. Yet another drawback of the above mentioned system is that these systems are needed to deploy in the customer network to collect data relating data centre management.

Hence need in the art to eradicate dependency on vendor for network transformation and optimization  creation of a robust and scalable network infrastructure and reduction of cost both in terms of operations and ownership.

OBJECTIVE OF THE INVENTION

In accordance with the present invention  the primary objective is to provide a method and system for automating an enterprise network transformation or optimization.

Another objective of the invention is to provide a method and system for automating information technology network infrastructure management process by analyzing the collected data pertaining to the present IT network and taking into account the transformation activity in the overall IT domain.

Another objective of the present invention is to provide a method and system that modifies network in order to meet the network performance by computing the LAN and WAN aspects of the network.

Yet another objective of the invention is to provide a method and system for transforming or optimizing IT network considering the Quality of Service (QoS)/ Quality of Experience (QoE) constraints.

Still another objective of the invention is to provide a method and system for performing approximate cost analysis of the IT network.

SUMMARY OF THE INVENTION

Before the present methods  systems  and hardware enablement are described  it is to be understood that this invention in not limited to the particular systems  and methodologies described  as there can be multiple possible embodiments of the present invention which are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the description is for the purpose of describing the particular versions or embodiments only  and is not intended to limit the scope of the present invention.

The present invention provides a method and system which uses constraint based optimization techniques to achieve WAN optimization  generate a topology map taking into account the new IT architecture post transformation  including the list of network components to be utilized  and perform both analysis of as-it-is state and transformed state i.e. to-be-states.

In one aspect of the present invention a method and system is provided for automating an enterprise network transformation or optimization. Presently the systems used for monitoring and reporting of network systems in a data centre perform a role of operational management. They do not consider scaling the existing infrastructure. The monitoring aspect overlooks the pre-defined threshold values for a network.

In an embodiment of the invention a method and system is provided for automating information technology network infrastructure management process by analyzing the collected data pertaining to the present IT network and taking into account the transformation activity in the overall IT domain. Present systems for monitoring and reporting both automated and manual consider the network systems individually for a given data center the fail to take a snapshot of the all data centers collectively to optimize the process unlike in the present disclosure wherein the system in configured to consolidate and optimize IT infrastructure by considering all the data centers across the domain.

In yet another aspect of the present invention a method and system is disclosed that modifies the network in order to meet the network performance. The method and system achieves this by computing the LAN and WAN aspects of the network. According to an embodiment of the present invention the system computes  analyses the existing setup of the network that is the local area network (LAN) or wide area network (WAN) in order to scale up the performance of the network has desired by the CIO.

BRIEF DESCRIPTION OF DRAWINGS

The foregoing summary  as well as the following detailed description of preferred embodiments  is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the invention  there is shown in the drawings example constructions of the invention; however  the invention is not limited to the specific methods and product disclosed in the drawings:

Figure 1 illustrates a block diagram for the module according to an embodiment.

Figure 2 illustrates a flow diagram for IT infrastructure optimization or transformation.

DESCRIPTION OF THE INVENTION

Some embodiments of this invention  illustrating all its features  will now be discussed in detail.

The words "comprising " "having " "containing " and "including " and other forms thereof  are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items  or meant to be limited to only the listed item or items.

It must also be noted that as used herein  the singular forms "a " "an " and "the" include plural references unless the context clearly dictates otherwise. Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present invention  the preferred  systems and methods are now described.

The disclosed embodiments are merely exemplary of the invention  which may be embodied in various forms.

Figure 1 illustrates a block diagram for the module according to an embodiment. According to an exemplary embodiment of the present disclosure  a system (100) is disclosed comprising a data collection module (101)  a data analytical module (102)  a component mapping module (103)  and a planning module (104) each communicably connected.

Referring to Figure 1 and Figure 2 wherein the system (100) according to an embodiment perform a method (200) for optimizing distributed enterprise information technology (IT) network infrastructure or network optimization. In the present invention  the data collection module (101) is configured to execute a step of collecting data and arranging the collected data (201) for optimizing distributed enterprise information technology (IT) network infrastructure or network optimization. The data collected and arranged pertains to the existing state of an information technology network infrastructure. The data captured either automatically using tools such as packet analyzers  Netflow analyzers  and Network discovery tool or manually by inspecting or by making suitable assumptions is arranged into first set of templates. The information gathered in the first set of templates before consolidation  pertains to at least one server  a plurality of network components  a plurality of applications and at least one data center. Further the data collected for the at least one server pertains to a number of NIC  device id’s of each NIC  ports per NIC  and port bandwidth. Similarly the data collected for the at least one network component relates to number of slots per network component  ports per slot  ports bandwidth  and connectivity information. Similarly  for the plurality of applications the data collected pertains to type of the application  protocols used for communication  number of users supported  and bandwidth per user. Lastly for the at least one data center  data relating to WAN bandwidth associated with each data center  type of consolidation  and expected life years per data center is aggregated. In cases where the information is not available  data needs to be extracted from the reports/logs pertaining to the network components/applications and missing data needs to be filled with suitable assumptions.

According to the embodiment the analytical module (102) and the component mapping module (103) simultaneously perform the method of analyzing  and mapping the existing state and a new state (202) of at least one of the servers and the storage elements with the existing set of network elements. The analytical module (102) readily absorbs the data arranged in the first set of templates. The module that is the analytical module (102) and mapping module (103) determines the existing state of the network by analyzing the collected information. From the information gathered and analyzed about the existing network  a second set of templates is generated. The second set of templates contains information about the different network components with mapped with their critical parameters such as throughput  ports availability  ports bandwidth. The second set of templates further generates network topology information. The collected data the first set of templates is simultaneously considered with transformation activity in rest of information technology domain before generating the second set of templates. According to an embodiment the critical parameter associated as illustrated as follows: critical parameter for LAN in a data center that are captured are throughput of switch in mpps (Million packets per second)  number of 1 and 10 gigabit-per-second ports supported for all the switches existing in the LAN. Further  the critical parameters are mapping connectivity of servers to access switches  then access switches to upper layer switches.

The planning module (104) is responsible for planning the new state of the IT network infrastructure (203) step according to the embodiment. The planning module decides the to-be-state of the network either after transformation or after optimization. The planning module is adapted to plan post transformational and post optimized state of the information technology network infrastructure depending upon the consolidation strategy of the distributed enterprise information technology network infrastructure derived from the analyzed data and mapped components of the information technology network in order to optimize the network performance. The consolidation strategy is selected from either consolidation within a data center only or consolidation of data centers. The optimization or transformation is based on constrains defined quality of service (QoS) desired by the organization or quality of experience (QoE). According an embodiment the present system disclosed is configured to analyze and compute the cost associated with the network and the data center. When the consolidation strategy selected enables consolidation within the data center a template is generated pertaining to the final state of the network by a method  wherein information relating to ports classification and assessment  throughput assessment  industry best network design practices  network infrastructure planning are captured. In another embodiment wherein the consolidation strategy selected refers to consolidation of data centers  information is captured and report in generated containing number of data centers after consolidation  and set of number of servers moved from different data centers to the target data center.

According to another embodiment of the present invention wherein the network optimization and transformation is enabled by reducing the number of the data centers by consolidating and reducing the server sprawl. After the reduction in the number of data centers is achieved by data center consolidation  the data collection module is configured to perform the step of collecting and arranging data of the existing and new setup. The data in the embodiment pertains to one or more of internet protocol (IP) traffic pattern  data traffic pattern  and existing network topology. The other information captures relates to the number of applications and services running  protocols used for communication  QoS requirement of applications  number of users accessing the applications and services  QoE in the current network. The embodiment further comprises of the data analytical module and the component mapping module simultaneously performing the step of analyzing the collected data by calculating the average and peak wide area network bandwidth required for the servers. Further the planning module executes a step of planning post optimized state of the information technology network infrastructure by verifying whether the existing average and peak wide area network bandwidth match with the values determined in the analysis step. When existing average and peak wide area network bandwidth does not match with the values determined in the analysis step the module computes for a solution wherein the solution to upgrade the WAN bandwidth of the network or the possible causes for bottlenecks is determined.

The machine may comprise a server computer  a client user computer  a personal computer (PC)  a tablet PC  a laptop computer  a desktop computer  a control system  a network router  switch or bridge  or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine. Further  while a single machine is illustrated  the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.

The machine may include a processor (e.g.  a central processing unit (CPU)  a graphics processing unit (GPU  or both)  a main memory and a static memory  which communicate with each other via a bus. The machine may further include a video display unit (e.g.  a liquid crystal displays (LCD)  a flat panel  a solid state display  or a cathode ray tube (CRT)). The machine may include an input device (e.g.  a keyboard) or touch-sensitive screen  a cursor control device (e.g.  a mouse)  a disk drive unit  a signal generation device (e.g.  a speaker or remote control) and a network interface device.

Dedicated hardware implementations including  but not limited to  application specific integrated circuits  programmable logic arrays and other hardware devices can likewise be constructed to implement the methods described herein. Applications that may include the apparatus and systems of various embodiments broadly include a variety of electronic and computer systems. Some embodiments implement functions in two or more specific interconnected hardware modules or devices with related control and data signals communicated between and through the modules  or as portions of an application-specific integrated circuit. Thus  the example system is applicable to software  firmware  and hardware implementations.

In accordance with various embodiments of the present disclosure  the methods described herein are intended for operation as software programs running on a computer processor. Furthermore  software implementations can include  but not limited to  distributed processing or component/object distributed processing  parallel processing  or virtual machine processing can also be constructed to implement the methods described herein.

The illustrations of arrangements described herein are intended to provide a general understanding of the structure of various embodiments  and they are not intended to serve as a complete description of all the elements and features of apparatus and systems that might make use of the structures described herein. Many other arrangements will be apparent to those of skill in the art upon reviewing the above description. Other arrangements may be utilized and derived therefrom  such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Figures are also merely representational and may not be drawn to scale. Certain proportions thereof may be exaggerated  while others may be minimized. Accordingly  the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

The preceding description has been presented with reference to various embodiments. Persons skilled in the art and technology to which this application pertains will appreciate that alterations and changes in the described structures and methods of operation can be practiced without meaningfully departing from the principle  spirit and scope.

ADVANTAGES OF THE INVENTION:

The present invention provides a method and system which uses constraint based optimization techniques to achieve WAN optimization  generate a topology map taking into account the new IT architecture post transformation  including the list of network components to be utilized  and perform both analysis of as-it-is state and transformed state i.e. to-be-states. As a result  the below mentioned advantages are achieved:

1. The present disclosure helps reduce or eradicate the dependency on a vendor when an organization decides to optimize or transform its existing IT infrastructure.
2. The use of present disclosure in association with e-Transform tool enables creation of a robust and scalable network infrastructure.
3. The present disclosure enables reduction of cost both in terms of operations and in terms of ownership.


We Claim:

1. A method for optimizing distributed enterprise information technology (IT) network infrastructure  the IT infrastructure comprising at least one server  at least one storage element  and at least one network element  the method comprises processor implemented steps of:

a. collecting data and arranging the collected data pertaining to an existing state of the information technology network infrastructure in a first set of templates;
b. mapping the existing state and a new state of at least one of the servers and the storage elements with the existing set of network elements using the first set of templates to form a second set of templates; and
c. planning the new state of the IT network infrastructure for transformation using the first set of templates and the second set of templates  the new state being the optimized state of the IT network infrastructure.

2. The method of claim 1  wherein the first set of templates comprises information regarding at least one of servers  storage elements  network elements  switches  port connectivity  applications  WAN bandwidth.

3. The method of claim 1  wherein the second set of templates comprises information obtained by mapping the existing state to the to-be stat of at least one of the servers  storage elements and existing set of network elements.

4. The method of claim 1  wherein the optimization is measured by one of QoS  QoE  cost  complexity  space and a combination thereof of the IT Network infrastructure and the optimized IT Network Infrastructure.
5. The method as claimed in claim 1  wherein the data pertaining to the existing state of the information technology network infrastructure is collected automatically as well as manually.

6. The method as claimed in claim 1  wherein the first set of templates is comprising but not limited to information pertaining to servers  network components  storage devices  applications and data centers before consolidation.

7. The method as claimed in claim 6  wherein the information pertaining to servers is selected from the group comprising number of network interface controllers  device identification of each network interface controller  ports per network interface controller  and port bandwidth.

8. The method as claimed in claim 6  wherein the information pertaining to network components is selected from the group comprising of slots per component  ports per slot  ports bandwidth  and connectivity information.

9. The method as claimed in claim 6  wherein the information pertaining to applications is selected from the group comprising of type of the application  protocols used for communication  number of users supported  and bandwidth per user.

10. The method as claimed in claim 6  wherein the information pertaining to data centers is selected from the group comprising of wide area network bandwidth associated with each data center  type of consolidation  and expected life years per data center.
11. The method as claimed in claim 6  further comprises of extracting said information from a report or a log pertaining to the network components or applications when the information is not available directly and filling suitable assumptions is case of missing information.

12. The method as claimed in claim 1  wherein the second set of templates is containing analyzed data pertaining to the different network components of the enterprise information technology network infrastructure with their respective critical parameters.

13. The method as claimed in claim 12  wherein the second set of templates is derived by implementing ports classification and assessment  throughput assessment  industry best network design practices  network infrastructure planning of the enterprise information technology network infrastructure.

14. The method as claimed in claim 12  wherein the critical parameters of the different network components of the enterprise information technology network infrastructure is selected from the group comprising of but not limited to throughput  ports availability  and ports bandwidth.

15. The method as claimed in claim 1  further comprises of generating network topology information template.

16. The method as claimed in claim 1  further comprises of performing approximate cost analysis of the enterprise information technology network infrastructure.
17. The method as claimed in claim 1  further comprises of reducing operational cost by consolidate multiple data centers to fewer ones and bringing down the server sprawl.

18. The method as claimed in claim 1  wherein the distributed enterprise information technology (IT) network infrastructure is optimized by processor implemented steps of:

a. collecting data pertaining to the one or more of IP traffic pattern  Data traffic pattern  existing network topology  information about number of applications/services running  protocols used for communication  Quality of Service (QoS) requirement of applications  number of users accessing the applications/services  and Quality of Experience (QoE) in the current network;
b. analyzing the collected data by calculating the average and peak wide area network bandwidth required for the servers;
c. planning post optimized state of the information technology network infrastructure by verifying whether the existing average and peak wide area network bandwidth match with the values determined in the analysis step.

19. The method as claimed in claim 18  wherein said wide area network bandwidth of the network is upgraded if existing wide area network bandwidth is not matching with the analytical derivative of required value and the possible causes for bottlenecks need to be looked into if existing wide area network bandwidth is matching with the analytical derivative of required value
20. The method as claimed in claim 18  wherein wide area network and local area network are optimized so as to enhance the Quality of Service (QoS) and Quality of Experience (QoE).

21. The method as claimed in claim 18  further comprises using said network transformation along with e-Transform tool used for data center consolidation.

22. A system for transforming and optimizing distributed enterprise information technology (IT) network infrastructure  wherein the system comprising of:

a. a data collection module adapted to collect data pertaining to the existing state of the information technology network and arranging said collected data in a first set of templates;
b. a data analytical module adapted to analyze the collected data arranged in the first set of templates by considering the transformation activity in rest of information technology domain and generating a second set of templates containing analysed data;
c. a component mapping module adapted to map at least two components of the information technology network; and
d. a planning module adapted to plan post transformational and post optimized state of the information technology network infrastructure depending upon the consolidation strategy of the distributed enterprise information technology network infrastructure derived from the analysed data and mapped components of the information technology network in order to optimize the network performance.
23. The system as claimed in claim 22  wherein the distributed information technology network infrastructure may comprises but not limited to servers  storage devices  network devices.

Dated this 26 day of March  2012

Priyank Gupta
Agent for Applicant
IN-PA-1454

ABSTRACT:

A METHOD AND A SYSTEM FOR AUTOMATING AN ENTERPRISE NETWORK OPTIMIZATION

A method for optimizing a distributed enterprise information technology (IT) network infrastructure  wherein the IT infrastructure comprises at least one server  at least one storage element  and at least one network element. The method comprises processor implemented steps of collecting data and arranging the collected data pertaining to an existing state of the information technology network infrastructure in a first set of templates. The method further comprises of mapping the existing state and a new state of at least one of the servers and the storage elements with the existing set of network elements using the first set of templates to form a second set of templates  wherein the method further comprises of planning the new state of the IT network infrastructure for transformation using the first set of templates and the second set of templates  the new state being the optimized state.

FIGURE 2

Applicant: Tata Consultancy Services Limited Sheet No: 1/2

Figure 1
Priyank Gupta
Agent for Applicant
IN-PA-1454
Applicant: Tata Consultancy Services Limited Sheet No: 2/2

Figure 2
Priyank Gupta
Agent for Applicant
IN-PA-1454

Documents

Application Documents

# Name Date
1 Form 3 [22-12-2016(online)].pdf 2016-12-22
2 ABSTRACT1.jpg 2018-08-11
3 807-MUM-2012-FORM 3.pdf 2018-08-11
4 807-MUM-2012-FORM 26(9-4-2012).pdf 2018-08-11
5 807-MUM-2012-FORM 2.pdf 2018-08-11
6 807-MUM-2012-FORM 18(29-3-2012).pdf 2018-08-11
7 807-MUM-2012-FORM 1(8-6-2012).pdf 2018-08-11
8 807-MUM-2012-FER.pdf 2018-08-11
9 807-MUM-2012-CORRESPONDENCE(9-4-2012).pdf 2018-08-11
10 807-MUM-2012-CORRESPONDENCE(8-6-2012).pdf 2018-08-11
11 807-MUM-2012-CORRESPONDENCE(29-3-2012).pdf 2018-08-11
12 807-MUM-2012-FORM 4(ii) [17-10-2018(online)].pdf 2018-10-17
13 807-MUM-2012-OTHERS [14-11-2018(online)].pdf 2018-11-14
14 807-MUM-2012-FER_SER_REPLY [14-11-2018(online)].pdf 2018-11-14
15 807-MUM-2012-COMPLETE SPECIFICATION [14-11-2018(online)].pdf 2018-11-14
16 807-MUM-2012-CLAIMS [14-11-2018(online)].pdf 2018-11-14
17 807-MUM-2012-FORM-26 [18-02-2021(online)].pdf 2021-02-18
18 807-MUM-2012-FORM-26 [18-02-2021(online)]-1.pdf 2021-02-18
19 807-MUM-2012-Correspondence to notify the Controller [18-02-2021(online)].pdf 2021-02-18
20 807-MUM-2012-Written submissions and relevant documents [09-03-2021(online)].pdf 2021-03-09
21 807-MUM-2012-US(14)-HearingNotice-(HearingDate-22-02-2021).pdf 2021-10-03
22 807-MUM-2012-Response to office action [25-05-2022(online)].pdf 2022-05-25
23 807-MUM-2012-PatentCertificate08-09-2022.pdf 2022-09-08
24 807-MUM-2012-IntimationOfGrant08-09-2022.pdf 2022-09-08

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