Das Schnell Bahn Students : Gilad Artzi, Gillad Oramovicz, Guy - - PowerPoint PPT Presentation

ריהמה ביתנה Das Schnell Bahn

Students : Gilad Artzi, Gillad Oramovicz, Guy Green, Yoni Zakin, Yakov Levi, Yaniv Michaelis (University) Mentor: Niv Itzhaky (Amdocs) January 2012

Hanoch Sapoznikov Lead of Worldwide Academic Relations 30 Oct 2011

ףירעת םע סמועה תועשב םולשת תרומת ספ בחור ףודעת םאתומ

Students : Gilad Artzi, Guy Green, Yoni Zakin, Yaniv Michaelis, Gillad Oramovicz, Ya'akov Levy Mentor: Niv Itzhaki

January, 2012

Hanoch Sapoznikov Lead of Worldwide Academic Relations 30 Oct 2011

העונתה תמרוז

The Fast Lane™

introduction

• Customer bandwidth prioritizing on demand using real-

time pricing on existing infrastructure.

current situation

• Users get low bandwidth in peak hours while the load on the

system/infrastructure is high.

• The problems with the current solution are:
• Data bits are being sold at loss rates
• Network capacities are reaching their limits
• The demand for bandwidth is constantly growing
• The overall QoS is not satisfying
• During peak hours, the network is getting overwhelmed with information,

causing the customers to get slow connection.

• bjectives

Input :

• Traffic information from each user

Output :

• Up-gradable bandwidth
• Statistic data about network loads
• New billable service

features

• Prioritizing fast lane service users
• Ensuring high revenue per bit
• Dynamic pricing according to network load
• Automatic detection of service necessity
• Full transparency of pricing
• Gathering use statistics
• Free Trail experience

methodology

• Develop a smartphone client app
• Expand billing capability
• Configure the network and apply the change
• Gather geo statistics
• Marketing - Advertisements and early adapters benefits
• Training customers service representatives

risks

• Users can stay hung in the service

Hence -> validate disconnect after few mins.

• Load stats checks can overload the network

Hence-> unload the stats to phone on a random time in morning

milestones

• High bandwidth demand detection (Weeks 1-3).
• Development of the module responsible for hung service

detection(Week 5-6).

• Development of the statistical Database interface (Weeks 7-8).
• Development of the billing app and usage counter (Weeks 9-10).
• Final integration testing (Weeks 11-12).

The Fast Lane™

Thank you…