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Service Overlay Network Capacity Adaptation For

Profit Maximization

Prasana sri. S

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Abstract

The Aim of the project is to achieve, Network Profit i.e., highresource utilization with low cost by providing dynamic changein tariff by using Service Overlay Network (SON).

It concentrates on pricing network service dynamically based onthe level of service, usage and congestion allows the network resources to be used more effectively.

We integrate the proposed Service dependent pricing schemewith dynamic pricing and service negotiation environment. Thisincreases network resource utilization and avoid high call

blocking rate. Users are able to maintain stable expenditure, andallowing user to migrate between SLAs.

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E xisting System

The existing Profit Optimization objective has been used inseveral works such as addressing the bandwidth capacityallocation problems.

The algorithm is mainly used for adaptive resource allocation.To satisfy the user high tariff can be proposed but it consists of Complex procedure to convert the tariff. In low tariff the user may have to wait for 1 month or 2weeks. By following low tariff

procedure will take more time will lose their motivation.

This process takes huge time difference to download in same lowtariff and Time Consumption is wasted for downloading hugedatas from Internet, which generates lengthy traffic which slowsSystem performance and will also effect power consumption.Human resource utilization is wasted in a vast manner.

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D isadvantages

The disadvantages of the Existing System are:

There is need of Complex procedures to convert the tariff.

Time Consuming for downloading huge datas from Internet

The Existing system which generates lengthy traffic which slowsSystem performance and will also effect power consumption.

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System Specification

Hardware Requirement:Processor - Pentium - IVSpeed - 1.8 GHzRam - 512 MBHard Disk - 80 GBGeneral - Keyboard, Monitor,

Mouse.

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Software Requirement:Language : C#(visual studio net2005)

Operating System : Windows xp/sp2Back End : sqlserver2000

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Proposed System

In our proposed system any Client who can be in any plan or downloading speed provided by ISP providers. All Clients canuse this system in request to download huge files at that timeservice provider will popup message to Client has to select the

pop up Stating that is requesting for change of tariff todownload huge file, Click ok in pop up menu, and then tariff will be changed to Clients selection or by Clicking cancel Existingtariff limit provided by ISP provider will be continued todownload any huge files.

E.g. 256 kbps plan given by ISP provider can be changed tohigher downloading speed and client can pay for thatdownloading speed for the particular file download durationonly.

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Advantages

In the Proposed System:SON can provide improved QOS

SON is built on top of another network and the nodes areconnected by virtual or logical links

There is no need of Complex procedures to convert the tariff

As a result we can avoid occurrence of lengthy trafficgeneration so that server provide a proper service to the client(user)

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Advantages(cont.,)

The change of SLAs in Traffic Distribution and SLA Pricing, bywhich we can maximize SON operator Profit and also able tomaintain the Grade of Service (GOS).

It reduces the usage of network resource and also cost

We can also able to maintain the Blocking Constraints.

It uses the link shadow price concept that provides consistenteconomic basis for all elements of the approach.

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MO DULE S

CLIENTCONGESTION MANAGEMENTDYNAMIC SPEED ALLOCATIONDOMAIN SERVICE OR SERVER

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MO DULE DE SCRIPTION

C L IE NT :Client is referred to as the basic user whos in need of any

information from Internet. As if like normal login procedures auser is provided with user login and password to connect withlocal LAN like Dial up connection. There some steps to befollowed in client side are,1.Authentication

2. File request3. Received Response

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AUTH E NTICATION :During the login procedures, the DB component verifies

for the user login and password is legal from the databasemaintained by the server. Client is allowed to login.FI LE R EQUE ST :

Client Enters any website in search of any information, will

be verified by the local Domain service (Host) to check whether particular information is available or not and sends response toClient requested information has availability or not in LocalDomain service.R E C E IV ED R E SPONS E :

The Client gets the respective result from Domain Serviceand allowed to perform further actions like downloading of filesand options to proceed other operation.

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R EG ISTRATION FORM

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CONFIRMATION FORM

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L O G IN FORM

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SE ARCH FORM

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PACK E TS R E C E IVIN G FORM

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R E C E IPT FORM

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B ILL DE TAI L S FORM

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CON GE STION MANA GE M E NT :In this management system we maintain certain steps to

control modules in the DYNAMIC SPEED ALLOCATION

process and for utilities of the Local Server action to be performed as per normal way connection of LANs

DY NAMIC SP EED ALL OCATION:This is the process where are our tariff change takes place and

other processes which are required for splitting of files intocontainers and other operations are being performed here.Scheme change and Allocation of splitted files in containers are

being used for future verification and development process.

DOMAIN S E RVIC E OR S E RV E R:Domain service refers to the Local server which helps in

connection of LAN (Internet) and performance of other processof providing the requested web site results to the Client to

perform downloading options if needed in future .

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Conclusion

We proposed a capacity adaptation approach for SON that areestablished by leasing bandwidth from ISP. The objective is toadapt leased bandwidth and connection rewards in order tomaintain network profit maximization.

The profit maximization is based on an economic model thatallows integration of the capacity and connection rewardadaptation with CAC and routing algorithm.

The key element of this integration is decomposition of thenetwork problem into a set of link problems resulting in theconcept of link shadow price that provides consistenteconomical basis for all elements of the approach.

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Conclusion(cont.,)

The validity of the approach was confirmed by analyticalcomparison with an exact solution for small network examples.

The results also confirmed that the blocking constraint can befulfilled by the proposed reward parameters adaptation.

While the proposed framework was illustrated usinghomogeneous connections, it covers also the multi-rateconnections.

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THANK YOU