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

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

Das Schnell Bahn Students : Gilad Artzi, Gillad Oramovicz, Guy Green, Yoni Zakin, Yakov Levi, Yaniv Michaelis (University) Mentor: Niv Itzhaky (Amdocs) Hanoch Sapoznikov Lead of Worldwide Academic Relations January 2012 30


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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

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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™

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introduction

  • Customer bandwidth prioritizing on demand using real-

time pricing on existing infrastructure.

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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.

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  • bjectives

Input :

  • Traffic information from each user

Output :

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

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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).
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The Fast Lane™

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Thank you…