Mohammed Rebbah

• Dr
• University Mustapha Stambouli of Mascara

A mobile ad hoc network (MANET) is a network with non‐wired communications and non‐centralized administration where all its nodes are mobile. Firstly, one of the leading drawbacks of wireless networks is their energy consumption because the constituent nodes of the network have a restricted battery capacity yet greater consumption caused by the mob...

Mobile ad-hoc networks (MANETs) are defined as mobile units interconnected with each other without a fixed infrastructure. The absence of the latter makes them very vulnerable to different types of attacks that can come from inside or outside. To remedy this problem, several techniques have been proposed but they are still insufficient. The use of...

MANETs networks are mobile units interconnected between them without infrastructures which make them vulnerable to different types of attacks. Although several techniques have been proposed as an endeavour to remedy this issue, they are still insufficient. In this work, a technique based on machine learning, more precisely on the random forest algo...

MANETs networks are mobile units interconnected between them without infrastructures which make them vulnerable to different types of attacks. Although several techniques have been proposed as an endeavour to remedy this issue, they are still insufficient. In this work, a technique based on machine learning, more precisely on the random forest algo...

A mobile ad hoc network (MANET) is a set of mobile and self-organizing nodes that cooperate to create dynamic network architecture to establish communications. Its characteristics present critical challenges: limited residual energy of nodes and transmission range, wireless links sensitivity to environmental effects, and the mobility aspect, which...

Mobile Ad hoc NETworks (MANET) are networks without infrastructure. The communication range among nodes is limited, where several hops are needed to transmit a packet from the source to the destination. These networks have a constantly changing topology due to its mobile nodes and their arbitrary connections, which make it vulnerable for different...

The emergence of personalized medicine and its exceptional advancements reveal new needs regarding the availability of adequate medical decision-making models. Considering detailed data on this medicine, the creation of a medical decision-making system may encounter many inhibitory factors, such as data representation, data reduction, data classifi...

Personalized medicine exploits the patient data, for example, genetic compositions, and key biomarkers. During the data mining process, the key challenges are the information loss, the data types heterogeneity and the time series representation. In this paper, a novel data representation model for personalized medicine is proposed in light of these...

Ad Hoc wireless mobile networks are characterized by a lack of central administration and the fact that any element of the network, being very mobile, is susceptible to disappear. In an Ad Hoc network, all the elements must cooperate in order to establish a temporary network to communicate. This communication is affected by the links stability main...

Ad Hoc wireless mobile networks are characterized by a lack of central administration and the fact that any element of the network, being very mobile, and susceptible to disappear. In an Ad Hoc network, all the elements must cooperate in order to establish a temporary network to communicate. This communication is affected by the links stability mai...

One of emerging challenges in Medical image analysis is clustering. Fuzzy C-means (FCM) algorithm is one of the most popular clustering algorithms because it is efficient, straightforward, and easy to implement. However, FCM is sensitive to initialization and is easily trapped in local optima, such a drawback could be overcome by evolutionary algor...

High computation power is required to execute complex scientific workflows. Cloud computing resources are used viably to perform such complex workflows. Task clustering has demonstrated to be an efficient technique to decrease system overhead and to enhance the fine computational granularity tasks of a scientific workflow executed on distributed re...

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. At this scale, computer resources and network failures are no more exceptions, but belong to the normal system behavior. Fault tolerance in grid computing improves enormously the calculation time and gives...

Unlike empirical medicine centered on a common attitude for all, personalized medicine centered on the attitude adapted to the patient profile. This profile may contain heterogeneous and/or homogeneous, structured and/or unstructured, temporal and/or non-temporal data. The representation of these data in a datamining process shows a major challenge...

Fault Tolerance for a Scientific Workflow System in a Cloud Computing Environment

Cloud Computing is a dynamic and elastic environment, these characteristics make them vulnerable to faults, such as VMs and host failures or software bugs, which affects the quality of service provided by Cloud Computing platforms. The adoption of a fault tolerance mechanism is essential to ensure the smooth functioning of these platforms, as well...

Social network analysis ('SNA') measures are a vital tool for understanding the behavior of networks and graphs. However, the huge amount of data generated by networks require new techniques to optimize the calculation. Many efficient algorithms based on graph calculation have been used in the last decades; most of them do not scale the large amoun...

Many scientific workflows are composed of fine computational granularity tasks, where the task runtime may be shorter than the system overhead—the period of time during which miscellaneous work other than the user’s computation is performed. Task clustering methods merge several short tasks into a single job such that the job runtime is increased a...

This article describes how the idea of a hybrid cloud comes from the coupling of public and private clouds to more efficiently address user requirements. This article addresses the problem of resource provisioning in hybrid cloud. This article is mainly concerned about optimizing the resources provisioning task through the reduction of the tasks co...

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. At this scale, the characteristics of dynamicity, resource heterogeneity and scalability have made fault tolerance more complex. In this paper, we propose FT-GRC a fault tolerance model that seeks to find...

Fault tolerance in grid computing improves enormously the calculation time and gives more confidence to the users of grids. The characteristics of dynamicity, resource heterogeneity and scalability have made fault tolerance more complex. We propose, in this paper, a fault tolerance model that seeks to find the most suitable substitute for the faile...

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. At this scale, computer resources and network failures are no more exceptions, but belong to the normal system behavior. Therefore, one of the most valuable characteristics of grid tools, apart from the pe...

The extraction of association rules in distributed systems is capable of greatly reducing the time of extraction and exploitation of large data sets, however, these benefits are forced to emerging issues related on the one hand the nature of distributed systems and the sharp increase in volumes of data and its geographic dispersion. The trend towar...

Grid reliability analysis and modeling are not easy tasks because of the complexity and large scale of the system. For some grid services which have large subtasks requiring time-consuming computation, the reliability of grid service could be rather low. To resolve this problem, RNFR and LNFR are proposed in literature. This paper describes the pro...

In this study, we discuss the integration of mobile computing in grid architecture. We want to integrate mobile devices into the grid either as service recipients or as service providers. There are a number of challenging issues with this integration, such as intermittent connectivity, device heterogeneity and weak security. Our contribution in thi...

Our contribution in this paper is twofold. Firstly, we propose a dynamic hierarchical modelfor the grid, which models the grid as a dynamic n-ary tree, composed of a root, a set of intermediatelevels according to the number of available resources and the lowest level containing the resourcesloaded to execute jobs. Secondly, we support our model by...