This document summarizes a research paper on pricing strategies for internet service providers operating under constraints. It investigates pricing broadband access to maximize revenue while managing network congestion. The introduction outlines how consumer demand varies over time, limiting dynamic pricing. Regulators prefer economic approaches over technical congestion management. The research characterizes revenue loss from such constraints. It also analyzes revenue from flat versus usage-based pricing under monopoly conditions. The document outlines the system design, modules, and testing approach to model pricing strategies and their effects.

1. PRICING UNDER CONSTRAINTS IN
ACCESS NETWORKS:REVENUE
MAXIMIZATION AND CONGESTION
MANAGEMENT
Submitted By
Kapa Divya Grandhi DVNL Pavani
Anoop Kiran Nelaturi Manapareddy Sasi Kanth
Under the guidance of
Mr. R. Pitchaiah

2. •Introduction
CONTENTS
•Software Requirements
•System Design
•Modules
• System Testing
•Output Screens
•Conclusion
•References

3. ABSTRACT
Here we investigate pricing of Internet connectivity services in the
context of a monopoly ISP selling broadband access to consumers.
Time-varying consumer utilities for broadband data rates that can result
in uneven demand for data-rate over time. Practical considerations limit
the viability of altering prices over time to smoothen out the demanded
data rate. Regulatory attention on ISP congestion management
discourages such “technical” practices and promotes economics based
approaches. We characterize the loss in ISP revenue from an economics
based approach. Regulatory requirements further impose limitations on
price discrimination across consumers, and we derive the revenue loss to
the ISP from such restrictions

4. Introduction
 The impact of access prices on the congestion management practices and
revenue of a monopoly ISP, operating a single bottleneck link with fixed
capacity.
 Internet data flows along multiple links on a route between source and
destination, the end-user access link is typically the most constrained for
capacity, and the major contributor to the connectivity price.
 Consumer data rate allocation can be determined by socially optimal prices
in a competitive market on the one hand, or the revenue maximizing prices
in a monopoly ISP market on the other hand.
 The analysis in this paper explores the latter and represents a benchmark:
the most favorable outcome to the ISP and possibly the least favorable
outcome to the consumers.

5. EXISTING SYSTEM
 Pricing content-providers for connectivity to end- users and setting
connection parameters based on the price is an evolving model on the
Internet.
 The framework generalizes the well-known utility maximization based rate
allocation model, which has been extensively studied as an interplay
between the ISP and the end-users, to incorporate pricing of content-
providers.
 We derive the resulting equilibrium prices and data rates in two different ISP
market conditions: competition and monopoly.
 The surplus gains are, however, limited under monopoly conditions in
comparison to competition in the ISP market.

6. PROPOSED SYSTEM
• Internet data flows along multiple links on a route between source and
destination, the end-user access link is typically the most constrained
for capacity, and the major contributor to the connectivity price.
• We quantify that a significant component of the monopoly ISP revenue
is from flat price if consumer price sensitivity is low and through usage
price if consumer price sensitivity is high.
• Flat pricing is generally considered as the preferred choice of
consumers, but our analysis indicates that flat pricing can lead to a
significant loss of consumer net-utility, particularly when the
consumers have low price sensitivity.

7. SYSTEM REQUIREMENT
SPECIFICATIONS
Hardware Requirement:
 Processor : Pentium IV 2.4 GHz
 Hard Disk : 40 GB
 RAM : 256 MB
Software Requirement:
 Operating System : Windows XP.
 Language : C#.Net
 Data Base : Sql Server 2005
 IDE : Microsoft Visual Studio .Net 2008

8. SYSTEM DESIGN

9. Data flow diagrams
PACKET
SEQUENCE NUMBERS
DATA QUEUE
ACK Status
CONTROL TRAFFIC
MANAGEMENT
CONFIRM
DELIVERY

10. Class diagrams

11. clients

12. Use case Diagram:
Source Destination
Terminal Terminal
ACK
Destination
Source
Terminal
Terminal

13. MODULES
 Transmitter Module
 Receiver Module
 Packet Segmentation Module
 ISP congestion management Module
 Channel Module
 Constrained Pricing without Packet
Dropping

14. Output Screens

25. SYSTEM TESTING
 Unit Testing
 Integration Testing
 Functional Testing
 System Testing
White box Testing
Black box Testing

26. Conclusion
 Reliable transmission of packets over intrinsically unreliable
channels such as lossy wireless links.
 In a modern high-speed wireless data network, however, multiple
parallel channels between adjacent transmitter–receiver pairs are
often created using advanced wireless communication technologies
systems increase the data transmission rate.
 Unlike packet transmission over a single channel, in a multichannel
communication system, multiple packets are sent at a time, one
packet per channel, and packet transmission errors can occur across
every channel.

27. References
 Data Communications and Networking, by Behrouz A Forouzan.
 Computer Networking: A Top-Down Approach, by James F.
Kurose.
 Operating System Concepts, by Abraham Silberschatz.
Sites Referred:
 http://www.sourcefordgde.com
 http://www.networkcomputing.com/

28. THANK YOU