RESOURCES WITH PRE - KNOWN INFORMATION Students : Avi Shahimov, - - PowerPoint PPT Presentation

DYNAMICALLY REALLOCATING

RESOURCES WITH PRE-KNOWN INFORMATION

Students : Avi Shahimov, Ariel Slonim , Nave Ariel , Yuri Gabaev , Yuval Kovler, Dima Kupershmidt Mentor: Segev Cohen. Supervisor: Eli Itin

Month Year

Hanoch Sapoznikov Lead of Worldwide Academic Relations 30 Oct 2011

INTRODUCTION

 Analyzing Network topology and recognizing

daily/weekly patterns/change in trends –

1.

Areas in which there is a need in a bigger bandwidth

2.

Areas in which there is a low usage in a bandwidth Rerouting the resources from one to the other.

 Our goal is to allocate enough resources to overly high

load areas.

CURRENT SITUATION

 There are areas with high load usage in specific periods of time

that cause denial of service.

 . The current solution may be  Costly  Inefficient  Lacking scalability  Technologically backwards  Non-existent!

OBJECTIVES

 Development of a software which will allow to

use statistical information to predict areas with high load usage in a specific periods of time and also to recognize change in trends. Input : Network topology with statistical information form the OSS data. Output : Reallocating recourses

FEATURES

 Graph Algorithms – weighted edges  Identify and Highlight the over loaded areas  Move network resources.

METHODOLOGY

 Define xml which describes the network map

(input and output file).

 Define a DB for the identified patterns.  Learn how to do statistical evolution and then

Build a small framework that does that.

 Learn how to reallocate network resources  Create an application that uses the framework

form before and applies the reallocation of resources

RISKS

 Relocating resources wrongly  Loss of control  Potential for malicious use / abuse  The inability to reallocate resources

MILESTONES

Requirements & Technology Research (Weeks 1-3)

– Legal research (Weeks 1-3) Deliverables: all related legal aspects. Statistical analyzing model(Week 4-7) Deliverables: model of how to analyze the statistical information Product design (Weeks 7-10) Deliverable: Architecture of the platform Development (Week 10-15) Deliverables: final product – platform ready for deployment

DEVELOPMENT ENVIRONMENT

 Language: Java  IDE: Eclipse  Technologies:

 Applet  Graphical network view library  XML

FINAL DELIVERABLES

Hardware – if needed a mobile network resource Software  Well documented source code  XML example files of network topology maps  Useful statistical analyzing model  Documentation  Final Presentation Installation Guide  User Guide.

Thank you…