International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 938
The Overview of Discovery and Reconciliation of LTE Network
Sahana M R1, Akhila Kowshik H R2, Asst. Prof. Shashank D3
1B.E. in Information Science and Engineering, NIE,Mysore,Karnataka,India
2B.E. in Information Science and Engineering, NIE,Mysore,Karnataka,India
3 Assistant Professor, Dept. of Information Science and Engineering, NIE college, Karnataka, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Discovery and Reconciliation of LTE Network
describes the web-based discoveryandreconciliationtoolused
to discover and reconcile discrepancies between two entities,
in particular, between the network and Adaptive Inventory
(AI).It is necessary to keep records of each and every device in
network for the company by which it can keep the details
about the devices recorded in the network as per the status of
presence or failure of thatdevice. DiscoveryandReconciliation
of LTE Network supports the discovery of physical and logical
network assets. The discovered objects are then compared
with objects stored in a system, typically the Adaptive
Inventory. Discrepancies are identified, along with
recommended ways to resolve the discrepancies. This paper
provides the overview of system flow of Discovery and
Reconciliation of LTE Network and also includes the existing
system and the proposed system.
Key Words: Long Term Evolution, Universal Mobile
Telecommunication System, Home Subscriber Server,
Packet Data Network, Mobility Management Entity.
1. INTRODUCTION
The primary function of Discovery and Reconciliation[1] is
to keep the Adaptive Inventory database and a variety of
different types of networks in synchronization with one
another. Discovery and Reconciliation uses the Adaptive
Inventory with the Adaptive Inventory XML Gateway to
provide a complete data discovery and reconciliation
solution.
It performs the following tasks:
Discovery - It collects data from both logical and physical
networks and other sources of discovered data, in real time
or as scheduled by the carrier. It provides the data in a
normalized format.
Reconciliation - It suggests specific reconciliation actions to
resolve these discrepancies, and allows the user to select
which objects shall be reconciled – manually or
automatically.
Discovery and Reconciliation works with any network
equipment. New equipment types can be added quickly as a
carrier's network expands. DiscoveryandReconciliationcan
also interact with NMS/EMS (Network Management
System/Element Management System) or with any other
system that contains network data to upload and transform
the network data and limit additional touch-points into the
network.
2. EXISTING SYSTEM
In case of existing system the organization is using a tool in
conjunction with the Bulk Loader utility whichdiscoversthe
network elements in bulky mannerandtheresultsproduced
are not that efficient as per the organization standards[3].
When new device get added to network then they manual
enter it into their data and the next time when discoverywill
run that device will be identified. Existing system does not
allow end user to reconcile the discovered information.
3. PROPOSED SYSTEM
In this system we are providing Range based discovery,
Individual discovery & Device based discovery of network
elements from which Device Based Discovery is absent in
existing system. This will be advantageous if any new device
that has been added will get discovered at the time of Range
Based Discovery and gets added in the main inventory. This
will save lot of time & will improve the efficiency of the
system by reducing the efforts of manual entry.
Our system also has options by which the user can perform
the selection for updating the database either through
automatic update functions or it can be done by user
manually after the discovery of network elements. Our
system also provides the Individual Device Discovery by
which the user can search any onespecificstandalonedevice
by its IP address.
4. SYSTEM ARCHITECTURE
Fig -1: Architecture of the 4G discovery adapters
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 939
The above diagram illustrates the architecture of the 4G
discovery adapters and the flow of data from sample NMS to
Granite. The NMS creates equipment files, which are called
export files. In the case of 4G technologies, these exportfiles
are XML-based. When jobs are initiated in the Discoveryand
Reconciliation, via the Orchestration Module or via the Site,
NMS Sweep, or EH Modules, the Discovery and
Reconciliation module sends an appropriate Request
message to the 4G Adapter. Based on theRequestthatcomes
from the Discovery and Reconciliation, Parser reads the
appropriate extract file and creates an MTOSI response
based on the contents of the extract file and the
"instructions" present in the Site/Sweep/EHConfigfile. This
MTOSI response is used to discoverandreconcileagainstthe
inventory contained within Granite Inventory.
4.1 Hardware and Software requirements
1. Granite Inventory
2. Oracle Web Logic Server
3. Granite Admin Client
4. Granite User Client
5. Oracle Database
6. Java JDK
7. Eclipse
8. Adapter Tool Kit – Provides libraries to develop LTE
adapter.
5. SYSTEM FLOW
The Northbound system for Discovery is the Database. All
jobs start with Discovery querying the database and getting
information that would aid in executing jobs. TheNetwork is
considered the Southbound system for Discovery and
communications to the southbound system is done via
Adapter.
Fig -2: System Flow for Discovery job
The above figure depicts a typical system flow for a
Discovery job .The cycle of Discovery from start to updating
Granite is called a job. Inside a job, multiple tasks are
executed withina job. Once a job is finished, the output ofthe
jobs can be updating the database, publishing a JMS event,
both or No Action. Depending on the job type, Discovery
might spawn off other jobs to complete the job that was
executed.
6. HIGH LEVEL SYSTEM COMPONENTS OF
DISCOVERY AND RECONCILIATION
The following are the major components of a Discovery
Solution:
1. Database: TypicallyGraniteisused.Otherdatabases
can be connected to Discovery.
2. Discovery and Reconciliation Product: the main
component of a Discovery Solution, its main
responsibility is to get the data from the Network
and reconcile it in a Database.
3. ASI: Used to query Granite for the Core Discovery
Modules. For custom modules, it is used to query
and update Granite.
4. Gateway: A system used to update Granite.
Discovery uses Gateway to update Granite for its
Core Modules.
5. Discovery Designer Studio: A tool that can be used
to create custom modules in Discovery.
6. Connectors – Used by Discovery to connect to
Granite and other systems.
Adapters: Used to query the Network and return data to
Discovery for reconciliation
Fig -3: High level system components of discovery and
reconciliation
7. DISCOVERY AND RECONCILIATION MODULES
Discovery and reconciliation contains various modules to
discover and reconcile network.
7.1 NMS Sweep Module
This module facilitates the discovery of all nodes or
containers that are managed within an NMS.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 940
7.2 LTE (4G) Module
The LTE module allows you to discover and reconcile
between Inventory and the Network the logical nodes of
an LTE (4G) wireless network, starting at the NMS and
eNode B. This module supports the hierarchical
relationship between the logical nodes and the equipment
relationships with the physical nodes.
7.3 Equipment Hierarchy Module
This Module discovers and reconciles physical network
information. Physical Network information includes
parameters that are directly associated with a physical
component of a network element.
Fig -4: Equipment hierarchy module
8. SAMPLE EQUIPMENT STRUCTURE
Fig -5: Sample Equipment Structure
In Inventory, network equipment is divided into two main
subclasses: shelves and containers. Shelves are pieces of
equipment that house slots with cards (and ports), such as
multiplexors. Containers are pieces of equipmentthathouse
other containers or shelves, suchasa rack orswitch.A“card”
is a board, drive or other piece of apparatus that sits in a
shelf and may or may not contain sub-cards and/or ports. In
Inventory, a card is always contained within a shelf (either
directly or through a parent card).
Ports provide origin and termination points for segments,
paths, networks, cables, and other equipment. They reside
on cards and can be either logical or physical, depending on
their application.
In Inventory, the path object is used to model a series of
elements that facilitate the transmission of data at a specific
bandwidth between two locations. Itisaninterconnection of
elements, such as ports, cables, segments, and channels on
higher bandwidth paths.
9. CONCLUSION
In this paper, Discovery system flow is proposed, which
overcomes the limitation of previous static method. It will
significantly improve the performance. Discovery alsohelps
in keeping track of all the devices in network and performs
fault detection and management. When combined with
knowledge based search algorithms, its performance could
be further improved. In conjunction with Discovery and
Reconciliation of LTE Network, adapters are used to
communicate with each vendor's Network Element(NEs)or
Element Management Systems (EMS). This allows Adaptive
Inventory users to query network equipment and
synchronize the inventory data with the discovered results.
REFERENCES
[1] Discovery of Network Elements and Reconciliation by
Ajay Chakkar, Ranjeet Ghodake, Tushar Nalawade, Tanaji
Nathe.
[2] Ericsson Discovery and Reconciliation, User Guide.
[3] discovery of network elements and reconciliation
Narendra Shewale1, Sharad Hadke2, Mayur Kharote3.

More Related Content

PDF
IRJET- An Integrity Auditing &Data Dedupe withEffective Bandwidth in Cloud St...
PDF
Centralized Data Verification Scheme for Encrypted Cloud Data Services
PPT
Ccna day1
PPT
PDF
Anomaly detection in the services provided by multi cloud architectures a survey
PPT
Ccna day1
PDF
Data integrity proof techniques in cloud storage
PDF
IRJET- Providing In-Database Analytic Functionalities to Mysql : A Proposed S...
IRJET- An Integrity Auditing &Data Dedupe withEffective Bandwidth in Cloud St...
Centralized Data Verification Scheme for Encrypted Cloud Data Services
Ccna day1
Anomaly detection in the services provided by multi cloud architectures a survey
Ccna day1
Data integrity proof techniques in cloud storage
IRJET- Providing In-Database Analytic Functionalities to Mysql : A Proposed S...

What's hot (19)

PDF
Database techniques for resilient network monitoring and inspection
PDF
Performing initiative data prefetching
PDF
IRJET- Top-K Query Processing using Top Order Preserving Encryption (TOPE)
PDF
ORUTA BASE PAPER
PDF
Approved TPA along with Integrity Verification in Cloud
PDF
IoTReport
PDF
Enhance the Security and Performance of IP over Ethernet Networks by Reductio...
PDF
Ad hoc networks filter based addressing protocol
PPT
Ccna day1
PDF
IRJET- Cloud based Deduplication using Middleware Approach
PDF
Ieeepro techno solutions ieee java project - oruta privacy-preserving public...
DOCX
indroduction of rain technology
PPT
Ccna day1
PPT
PDF
An Exploration of Grid Computing to be Utilized in Teaching and Research at TU
PDF
Introduction to Networks_v0.2
PDF
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storag...
PDF
Wp simoneau osi_model
PDF
Fusion method used to tolerate the faults occurred in disrtibuted system
Database techniques for resilient network monitoring and inspection
Performing initiative data prefetching
IRJET- Top-K Query Processing using Top Order Preserving Encryption (TOPE)
ORUTA BASE PAPER
Approved TPA along with Integrity Verification in Cloud
IoTReport
Enhance the Security and Performance of IP over Ethernet Networks by Reductio...
Ad hoc networks filter based addressing protocol
Ccna day1
IRJET- Cloud based Deduplication using Middleware Approach
Ieeepro techno solutions ieee java project - oruta privacy-preserving public...
indroduction of rain technology
Ccna day1
An Exploration of Grid Computing to be Utilized in Teaching and Research at TU
Introduction to Networks_v0.2
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storag...
Wp simoneau osi_model
Fusion method used to tolerate the faults occurred in disrtibuted system
Ad

Similar to The Overview of Discovery and Reconciliation of LTE Network (20)

PDF
Nt1310 Unit 3 Data Analysis Essay
PDF
IRJET- ALPYNE - A Grid Computing Framework
PDF
Dynamic Resource Allocation Algorithm using Containers
PDF
Software defined network based firewall technique
PDF
Software defined network based firewall technique
PDF
Software defined network based firewall technique
PDF
Multi port network ethernet performance improvement techniques
PDF
Efficient Database Management System For Wireless Sensor Network
PDF
Crypto Mark Scheme for Fast Pollution Detection and Resistance over Networking
PDF
F233842
PDF
International Refereed Journal of Engineering and Science (IRJES)
PPT
Grid computing
PDF
IRJET- Comparative Study on Embedded Feature Selection Techniques for Interne...
PDF
BSA 385 Week 3 Individual Assignment Essay
PDF
A NOVEL ROBUST ROUTER ARCHITECTURE
DOC
IT6701-Information management question bank
PDF
A Decentralized Application for Secure Private and Group Messaging in a Peer-...
PDF
IRJET-Structure less Efficient Data Aggregation and Data Integrity in Sensor ...
DOCX
Running head NETWORK DESIGN PROPOSALNETWORK DESIGN PROPOSAL.docx
PDF
SECURE FILE STORAGE IN THE CLOUD WITH HYBRID ENCRYPTION
Nt1310 Unit 3 Data Analysis Essay
IRJET- ALPYNE - A Grid Computing Framework
Dynamic Resource Allocation Algorithm using Containers
Software defined network based firewall technique
Software defined network based firewall technique
Software defined network based firewall technique
Multi port network ethernet performance improvement techniques
Efficient Database Management System For Wireless Sensor Network
Crypto Mark Scheme for Fast Pollution Detection and Resistance over Networking
F233842
International Refereed Journal of Engineering and Science (IRJES)
Grid computing
IRJET- Comparative Study on Embedded Feature Selection Techniques for Interne...
BSA 385 Week 3 Individual Assignment Essay
A NOVEL ROBUST ROUTER ARCHITECTURE
IT6701-Information management question bank
A Decentralized Application for Secure Private and Group Messaging in a Peer-...
IRJET-Structure less Efficient Data Aggregation and Data Integrity in Sensor ...
Running head NETWORK DESIGN PROPOSALNETWORK DESIGN PROPOSAL.docx
SECURE FILE STORAGE IN THE CLOUD WITH HYBRID ENCRYPTION
Ad

More from IRJET Journal (20)

PDF
Enhanced heart disease prediction using SKNDGR ensemble Machine Learning Model
PDF
Utilizing Biomedical Waste for Sustainable Brick Manufacturing: A Novel Appro...
PDF
Kiona – A Smart Society Automation Project
PDF
DESIGN AND DEVELOPMENT OF BATTERY THERMAL MANAGEMENT SYSTEM USING PHASE CHANG...
PDF
Invest in Innovation: Empowering Ideas through Blockchain Based Crowdfunding
PDF
SPACE WATCH YOUR REAL-TIME SPACE INFORMATION HUB
PDF
A Review on Influence of Fluid Viscous Damper on The Behaviour of Multi-store...
PDF
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
PDF
Explainable AI(XAI) using LIME and Disease Detection in Mango Leaf by Transfe...
PDF
BRAIN TUMOUR DETECTION AND CLASSIFICATION
PDF
The Project Manager as an ambassador of the contract. The case of NEC4 ECC co...
PDF
"Enhanced Heat Transfer Performance in Shell and Tube Heat Exchangers: A CFD ...
PDF
Advancements in CFD Analysis of Shell and Tube Heat Exchangers with Nanofluid...
PDF
Breast Cancer Detection using Computer Vision
PDF
Auto-Charging E-Vehicle with its battery Management.
PDF
Analysis of high energy charge particle in the Heliosphere
PDF
A Novel System for Recommending Agricultural Crops Using Machine Learning App...
PDF
Auto-Charging E-Vehicle with its battery Management.
PDF
Analysis of high energy charge particle in the Heliosphere
PDF
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
Enhanced heart disease prediction using SKNDGR ensemble Machine Learning Model
Utilizing Biomedical Waste for Sustainable Brick Manufacturing: A Novel Appro...
Kiona – A Smart Society Automation Project
DESIGN AND DEVELOPMENT OF BATTERY THERMAL MANAGEMENT SYSTEM USING PHASE CHANG...
Invest in Innovation: Empowering Ideas through Blockchain Based Crowdfunding
SPACE WATCH YOUR REAL-TIME SPACE INFORMATION HUB
A Review on Influence of Fluid Viscous Damper on The Behaviour of Multi-store...
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...
Explainable AI(XAI) using LIME and Disease Detection in Mango Leaf by Transfe...
BRAIN TUMOUR DETECTION AND CLASSIFICATION
The Project Manager as an ambassador of the contract. The case of NEC4 ECC co...
"Enhanced Heat Transfer Performance in Shell and Tube Heat Exchangers: A CFD ...
Advancements in CFD Analysis of Shell and Tube Heat Exchangers with Nanofluid...
Breast Cancer Detection using Computer Vision
Auto-Charging E-Vehicle with its battery Management.
Analysis of high energy charge particle in the Heliosphere
A Novel System for Recommending Agricultural Crops Using Machine Learning App...
Auto-Charging E-Vehicle with its battery Management.
Analysis of high energy charge particle in the Heliosphere
Wireless Arduino Control via Mobile: Eliminating the Need for a Dedicated Wir...

Recently uploaded (20)

PDF
Mechanics of materials week 2 rajeshwari
PPTX
BBOC407 BIOLOGY FOR ENGINEERS (CS) - MODULE 1 PART 1.pptx
PPT
Programmable Logic Controller PLC and Industrial Automation
PPTX
Design ,Art Across Digital Realities and eXtended Reality
PPTX
AI-Reporting for Emerging Technologies(BS Computer Engineering)
PPT
UNIT-I Machine Learning Essentials for 2nd years
PDF
MACCAFERRY GUIA GAVIONES TERRAPLENES EN ESPAÑOL
PDF
Beginners-Guide-to-Artificial-Intelligence.pdf
DOCX
An investigation of the use of recycled crumb rubber as a partial replacement...
PDF
UEFA_Embodied_Carbon_Emissions_Football_Infrastructure.pdf
PPTX
Environmental studies, Moudle 3-Environmental Pollution.pptx
PPTX
Micro1New.ppt.pptx the mai themes of micfrobiology
PDF
IAE-V2500 Engine Airbus Family A319/320
PDF
Micro 3 New.ppt.pdf tools the laboratory the method
PPTX
Agentic Artificial Intelligence (Agentic AI).pptx
PDF
Project_Mgmt_Institute_-Marc Marc Marc .pdf
PDF
Unit I -OPERATING SYSTEMS_SRM_KATTANKULATHUR.pptx.pdf
PPTX
chapter 1.pptx dotnet technology introduction
PDF
AIGA 012_04 Cleaning of equipment for oxygen service_reformat Jan 12.pdf
PPTX
SE unit 1.pptx aaahshdhajdviwhsiehebeiwheiebeiev
Mechanics of materials week 2 rajeshwari
BBOC407 BIOLOGY FOR ENGINEERS (CS) - MODULE 1 PART 1.pptx
Programmable Logic Controller PLC and Industrial Automation
Design ,Art Across Digital Realities and eXtended Reality
AI-Reporting for Emerging Technologies(BS Computer Engineering)
UNIT-I Machine Learning Essentials for 2nd years
MACCAFERRY GUIA GAVIONES TERRAPLENES EN ESPAÑOL
Beginners-Guide-to-Artificial-Intelligence.pdf
An investigation of the use of recycled crumb rubber as a partial replacement...
UEFA_Embodied_Carbon_Emissions_Football_Infrastructure.pdf
Environmental studies, Moudle 3-Environmental Pollution.pptx
Micro1New.ppt.pptx the mai themes of micfrobiology
IAE-V2500 Engine Airbus Family A319/320
Micro 3 New.ppt.pdf tools the laboratory the method
Agentic Artificial Intelligence (Agentic AI).pptx
Project_Mgmt_Institute_-Marc Marc Marc .pdf
Unit I -OPERATING SYSTEMS_SRM_KATTANKULATHUR.pptx.pdf
chapter 1.pptx dotnet technology introduction
AIGA 012_04 Cleaning of equipment for oxygen service_reformat Jan 12.pdf
SE unit 1.pptx aaahshdhajdviwhsiehebeiwheiebeiev

The Overview of Discovery and Reconciliation of LTE Network

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 938 The Overview of Discovery and Reconciliation of LTE Network Sahana M R1, Akhila Kowshik H R2, Asst. Prof. Shashank D3 1B.E. in Information Science and Engineering, NIE,Mysore,Karnataka,India 2B.E. in Information Science and Engineering, NIE,Mysore,Karnataka,India 3 Assistant Professor, Dept. of Information Science and Engineering, NIE college, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Discovery and Reconciliation of LTE Network describes the web-based discoveryandreconciliationtoolused to discover and reconcile discrepancies between two entities, in particular, between the network and Adaptive Inventory (AI).It is necessary to keep records of each and every device in network for the company by which it can keep the details about the devices recorded in the network as per the status of presence or failure of thatdevice. DiscoveryandReconciliation of LTE Network supports the discovery of physical and logical network assets. The discovered objects are then compared with objects stored in a system, typically the Adaptive Inventory. Discrepancies are identified, along with recommended ways to resolve the discrepancies. This paper provides the overview of system flow of Discovery and Reconciliation of LTE Network and also includes the existing system and the proposed system. Key Words: Long Term Evolution, Universal Mobile Telecommunication System, Home Subscriber Server, Packet Data Network, Mobility Management Entity. 1. INTRODUCTION The primary function of Discovery and Reconciliation[1] is to keep the Adaptive Inventory database and a variety of different types of networks in synchronization with one another. Discovery and Reconciliation uses the Adaptive Inventory with the Adaptive Inventory XML Gateway to provide a complete data discovery and reconciliation solution. It performs the following tasks: Discovery - It collects data from both logical and physical networks and other sources of discovered data, in real time or as scheduled by the carrier. It provides the data in a normalized format. Reconciliation - It suggests specific reconciliation actions to resolve these discrepancies, and allows the user to select which objects shall be reconciled – manually or automatically. Discovery and Reconciliation works with any network equipment. New equipment types can be added quickly as a carrier's network expands. DiscoveryandReconciliationcan also interact with NMS/EMS (Network Management System/Element Management System) or with any other system that contains network data to upload and transform the network data and limit additional touch-points into the network. 2. EXISTING SYSTEM In case of existing system the organization is using a tool in conjunction with the Bulk Loader utility whichdiscoversthe network elements in bulky mannerandtheresultsproduced are not that efficient as per the organization standards[3]. When new device get added to network then they manual enter it into their data and the next time when discoverywill run that device will be identified. Existing system does not allow end user to reconcile the discovered information. 3. PROPOSED SYSTEM In this system we are providing Range based discovery, Individual discovery & Device based discovery of network elements from which Device Based Discovery is absent in existing system. This will be advantageous if any new device that has been added will get discovered at the time of Range Based Discovery and gets added in the main inventory. This will save lot of time & will improve the efficiency of the system by reducing the efforts of manual entry. Our system also has options by which the user can perform the selection for updating the database either through automatic update functions or it can be done by user manually after the discovery of network elements. Our system also provides the Individual Device Discovery by which the user can search any onespecificstandalonedevice by its IP address. 4. SYSTEM ARCHITECTURE Fig -1: Architecture of the 4G discovery adapters
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 939 The above diagram illustrates the architecture of the 4G discovery adapters and the flow of data from sample NMS to Granite. The NMS creates equipment files, which are called export files. In the case of 4G technologies, these exportfiles are XML-based. When jobs are initiated in the Discoveryand Reconciliation, via the Orchestration Module or via the Site, NMS Sweep, or EH Modules, the Discovery and Reconciliation module sends an appropriate Request message to the 4G Adapter. Based on theRequestthatcomes from the Discovery and Reconciliation, Parser reads the appropriate extract file and creates an MTOSI response based on the contents of the extract file and the "instructions" present in the Site/Sweep/EHConfigfile. This MTOSI response is used to discoverandreconcileagainstthe inventory contained within Granite Inventory. 4.1 Hardware and Software requirements 1. Granite Inventory 2. Oracle Web Logic Server 3. Granite Admin Client 4. Granite User Client 5. Oracle Database 6. Java JDK 7. Eclipse 8. Adapter Tool Kit – Provides libraries to develop LTE adapter. 5. SYSTEM FLOW The Northbound system for Discovery is the Database. All jobs start with Discovery querying the database and getting information that would aid in executing jobs. TheNetwork is considered the Southbound system for Discovery and communications to the southbound system is done via Adapter. Fig -2: System Flow for Discovery job The above figure depicts a typical system flow for a Discovery job .The cycle of Discovery from start to updating Granite is called a job. Inside a job, multiple tasks are executed withina job. Once a job is finished, the output ofthe jobs can be updating the database, publishing a JMS event, both or No Action. Depending on the job type, Discovery might spawn off other jobs to complete the job that was executed. 6. HIGH LEVEL SYSTEM COMPONENTS OF DISCOVERY AND RECONCILIATION The following are the major components of a Discovery Solution: 1. Database: TypicallyGraniteisused.Otherdatabases can be connected to Discovery. 2. Discovery and Reconciliation Product: the main component of a Discovery Solution, its main responsibility is to get the data from the Network and reconcile it in a Database. 3. ASI: Used to query Granite for the Core Discovery Modules. For custom modules, it is used to query and update Granite. 4. Gateway: A system used to update Granite. Discovery uses Gateway to update Granite for its Core Modules. 5. Discovery Designer Studio: A tool that can be used to create custom modules in Discovery. 6. Connectors – Used by Discovery to connect to Granite and other systems. Adapters: Used to query the Network and return data to Discovery for reconciliation Fig -3: High level system components of discovery and reconciliation 7. DISCOVERY AND RECONCILIATION MODULES Discovery and reconciliation contains various modules to discover and reconcile network. 7.1 NMS Sweep Module This module facilitates the discovery of all nodes or containers that are managed within an NMS.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 940 7.2 LTE (4G) Module The LTE module allows you to discover and reconcile between Inventory and the Network the logical nodes of an LTE (4G) wireless network, starting at the NMS and eNode B. This module supports the hierarchical relationship between the logical nodes and the equipment relationships with the physical nodes. 7.3 Equipment Hierarchy Module This Module discovers and reconciles physical network information. Physical Network information includes parameters that are directly associated with a physical component of a network element. Fig -4: Equipment hierarchy module 8. SAMPLE EQUIPMENT STRUCTURE Fig -5: Sample Equipment Structure In Inventory, network equipment is divided into two main subclasses: shelves and containers. Shelves are pieces of equipment that house slots with cards (and ports), such as multiplexors. Containers are pieces of equipmentthathouse other containers or shelves, suchasa rack orswitch.A“card” is a board, drive or other piece of apparatus that sits in a shelf and may or may not contain sub-cards and/or ports. In Inventory, a card is always contained within a shelf (either directly or through a parent card). Ports provide origin and termination points for segments, paths, networks, cables, and other equipment. They reside on cards and can be either logical or physical, depending on their application. In Inventory, the path object is used to model a series of elements that facilitate the transmission of data at a specific bandwidth between two locations. Itisaninterconnection of elements, such as ports, cables, segments, and channels on higher bandwidth paths. 9. CONCLUSION In this paper, Discovery system flow is proposed, which overcomes the limitation of previous static method. It will significantly improve the performance. Discovery alsohelps in keeping track of all the devices in network and performs fault detection and management. When combined with knowledge based search algorithms, its performance could be further improved. In conjunction with Discovery and Reconciliation of LTE Network, adapters are used to communicate with each vendor's Network Element(NEs)or Element Management Systems (EMS). This allows Adaptive Inventory users to query network equipment and synchronize the inventory data with the discovered results. REFERENCES [1] Discovery of Network Elements and Reconciliation by Ajay Chakkar, Ranjeet Ghodake, Tushar Nalawade, Tanaji Nathe. [2] Ericsson Discovery and Reconciliation, User Guide. [3] discovery of network elements and reconciliation Narendra Shewale1, Sharad Hadke2, Mayur Kharote3.