Login

Salah Ahmad El Falou

Associate professor
Computer Science - Statistics department - Section III - Tripoli
Speciality: Computer Science
Specific Speciality: Informatique

Teaching 8 Taught Courses
Education
Publications 3 publications
Nour El Mawass, Ahmad Sardouk, Salah El Falou Offline multi-class flow allocation in MPLS networks using a distributed multi-objective genetic algorithm IEEE 2012

The explosion of Internet-like data traffic and services (voice, video, multiplayer games, download, etc.) is fueling the demands for higher mobile telecom network capacities. Traditionally, mobile operators are used to add new transmission links and equipments to satisfy the traffic increase. However, this solution is firstly expensive in terms of capital and operation and secondly inadequate with the new telecommunication generations as 3G and 4G. In this paper, we propose a traffic engineering based approach to maximize the network usage. Based on an advanced Multi-Objective, Multi-Population Genetic Algorithm, we propose an offline distribution of Label Switch Paths (LSPs) that takes into consideration the scalability of the network, the Quality of Service (QoS) constraints for 4 Classes of Service (CoS) and recovery path to ensure high network availability. Congestion reduction, bandwidth optimization and other objectives have been combined to offer the network planner an optimal network management.

Salah El Falou, Fran├žois Bourdon Mobile Agent Migration: An Optimal Policy Springer Berlin Heidelberg 2005

The majority of Internet applications requires interaction between various entities through the network, in order to exchange data and to distribute tasks. The client/server model where exchanges are given by distant interactions is the most used model. It has the disadvantage of increasing network traffic by exchanging intermediary information. In this paper we show that in some cases it is better to send the code to the server and to work locally. We study two models of communication (the client/server and the mobile agent) and propose a hybrid one, where agent uses the two models and construct the optimal policy according to the characteristic of the network. The Markov decision processes are used to calculate the optimal policy for agent displacement. This policy is applied by the agent in order to decrease network traffic.

Salah El Falou, Fran├žois Bourdon A MDP Solution for Mobile Agents Displacement IEEE-ICTAI05 2005

The majority of Internet applications requires interaction between various entities through the network, in order to exchange data and to distribute tasks. The client/server model where exchanges are given by distant interactions is the most used model. It has the disadvantage of increasing network traffic by exchanging intermediary information. In this paper we show that in some cases it is better to send the code to the server and to work locally. We study two models of communication (the client/server and the mobile agent) and propose a hybrid one, where agent uses the two models and chooses the best one according to the characteristic of the network. Interaction between different application entities is formulated by a probabilistic model. The Markov decision processes (MDPs) are used to calculate the optimal policy for agent displacement. This policy is applied by the agent in order to decrease network traffic