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Laouini N.,SYSCOM Laboratory | Ben Hadj Slama L.,InnovCom Laboratory | Bouallegue A.,SYSCOM Laboratory
2012 9th International Conference on High Capacity Optical Networks and Enabling Technologies, HONET 2012 | Year: 2012

The Layered Belief Propagation L-BP algorithm is is a modified Belief Propagation BP algorithm, where the check nodes are divided in subgroups called layers and each iteration is broken into multiple sub-iterations. In this paper, we consider layered belief propagation decoding and propose an efficient variable node layering for decoding LDPC codes that performs well. We compare the performance of the first introduced LDPC decoding algorithm BP and Layered BP using check node layering with Layered BP using variable node layering in terms of bit error rate (BER). We show that the convergence for decoding LDPC codes is increasing by using a simple and efficient layering strategy. © 2012 IEEE. Source


Jarraya M.,University of Dammam | Khedher O.,InnovCom Laboratory
2015 International Conference on Cloud Computing, ICCC 2015 | Year: 2015

In this paper we are proposing a time response optimization in a cloud computing based virtual training lab solution. The Virtual Training Lab (VTL) represents a true cloud computing solution that has been optimized for the educational and research needs of the academic community. It is essential to understand what kind of technologies could be evolved in cloud computing to make it possible. Basically, the virtualization is being the most important one. In the last few years, and due to the hypervisors, virtualization has been well used and integrated by many. The fact that many hypervisors have been created, it is important to classify them and be aware about their strength points and drawbacks as well. This manuscript provides an analysis of some of today commonly accepted virtualization technologies from feature comparison to performance analysis. Such result asserts are very important to construct an optimized response time in a cloud computing solution for training and laboratories. © 2015 IEEE. Source


Khedher O.,InnovCom Laboratory | Jarraya M.,University of Dammam
Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015 | Year: 2015

Cloud Computing has empowered the academic communities by reducing the IT infrastructure administration and cost. As one of several cloud computing solutions, Virtual Cloud Laboratory (VCL) has improved many universities experience by providing hand-on labs for each course per class. VCL has multiple deployment requirements. Although it represents a simplified architecture design, treating a large size VCL deployment might be challenging. In addition, putting the performance of resource allocation policies and different scheduling algorithms under scope could help to quantify the workload running in a real and expanded VCL environment. We aim through this study at identifying the limitations of the default scheduler in VCL and propose an enhanced scheduler. By simulating a VCL cloud computing environment, it might be possible to prove different scheduling algorithms and their impact from performance perspective. © 2015 IEEE. Source


Khedher O.,InnovCom Laboratory | Jarraya M.,Saudi Electronic University
Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015 | Year: 2015

Cloud computing covers a wide range of applications, from online services for the end user. It becomes the new trends for most organizations to handle their business IT units. Services provided are becoming flexible because the resources and processing power available to each can be adjusted on the fly to meet changes in need [6]. However, infrastructures deployed on a cloud computing environment may induce significant performance penalties for the demanding computing workload. In our doctoral research, we aim to study, analyze, evaluate and improve performance in cloud computing environment based on different criteria. To achieve the thesis objectives, a research performed is based on a quantitative analysis of repeatable empirical experiment. © 2015 IEEE. Source


Laouini N.,SYSCOM Laboratory | Ben Hadj Slama L.,InnovCom Laboratory | Bouallegue A.,SYSCOM Laboratory
International Conference on Multimedia Computing and Systems -Proceedings | Year: 2014

Layered decoding is well appreciated in Low-Density Parity-Check (LDPC) decoder implementation since it provides efficient and high-throughput implementation of LDPC decoders. Variable-Node Layered Belief Propagation (VL-BP) algorithm and their reduced-complexity derivatives for LDPC codes are presented. The VL-BP algorithm is a modification of Belief Propagation algorithm (BP), where the variable nodes are divided in subgroups called layers and each iteration is broken into multiple sub-iterations. Some simplifications can also be made to lower the complexity of both BP and CL-BP algorithms, and particularly the complexity of the check node update rule. In this paper, we consider Variable Node Layered BP (VL-BP) algorithm and propose an optimized min-sum VL-BP (MS VL-BP) algorithm for decoding LDPC code which has better performance not only from MS VL-BP algorithm but also from BP algorithm. In this decoding method, unlike other layered algorithms, we consider for the first layer a set of variable nodes that has a low value of the intrinsic information. Simulation results show that good performance can be achieved, and which can even be improved by the addition of either a normalization term or an additive offset term. © 2014 IEEE. Source

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