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) Hanoch Sapoznikov Lead of Worldwide Academic Relations January 2012 30 Oct 2011

The Fast Lane™ העונתה תמרוז ףירעת םע סמועה תועשב םולשת תרומת ספ בחור ףודעת םאתומ Students : Gilad Artzi, Guy Green, Yoni Zakin, Yaniv Michaelis, Gillad Oramovicz, Ya'akov Levy Hanoch Sapoznikov Mentor: Niv Itzhaki Lead of Worldwide Academic Relations 30 Oct 2011 January, 2012

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: o Data bits are being sold at loss rates o Network capacities are reaching their limits o The demand for bandwidth is constantly growing o The overall QoS is not satisfying • During peak hours, the network is getting overwhelmed with information, causing the customers to get slow connection.

objectives 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 o 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…