M. Abouelela

Publications (2)0 Total impact

• Conference Proceeding: Co-Scheduling Computational and Networking Resources in E-Science Optical Grids

  M. Abouelela, M. El-Darieby
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  ABSTRACT: With e-science applications becoming more and more data-intensive, data is generally generated and stored at different locations and can be divided into independent subsets to be analyzed distributed at many compute locations across an optical grid. It is required to achieve an optimal utilization of optical grid resources. This is generally achieved by minimizing application completion time, which is calculated as the sum of times spent for data transmission and analysis. We propose a Genetic Algorithm (GA) based approach that co-schedules computing and networking resources to achieve this objective. The proposed approach defines a schedule of when to transfer what data subsets to which sites at what times in order to minimize data processing time as well as defining the routes to be used for transferring data subsets to minimize data transfer times. Simulation results show the advantages of the proposed approach in both minimizing the maximum application completion time and reducing the overall genetic algorithm execution time.
  Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE; 01/2011
• Conference Proceeding: PCE-based hierarchical segment restoration

  M. Abouelela, M. El-Darieby
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  ABSTRACT: Providing network QoS involves, among other things, ensuring network survivability in spite of network faults. Fault recovery mechanisms should reduce recovery time, especially for real-time and mission-critical applications while guaranteeing QoS requirements, in terms of bandwidth and delay constraints and maximizing network resources utilization. In this paper, we propose a scalable recovery mechanism based on hierarchical networks. The proposed mechanism is based on inter-domain segmental restoration and is performed by a recovery module (RM) introduced for each domain of the hierarchy. The RM cooperates with path computation element (PCE) to perform recovery while maintaining QoS. Segmental restoration ensures faster recovery time by trying to recover failed paths as close as possible to where the fault occurred. The recovery mechanism aggregates fault notification messages to reduce the size of the signaling storm. In addition, the recovery mechanism ranks failed paths to reduce recovery time for high-priority traffic. We present simulation results conducted for different network sizes and hierarchy structures. Two metrics were considered: recovery time and signaling storm size. A significant decrease in the recovery time with increasing number of hierarchical levels for the same network size is observed. The larger the number of hierarchy levels, the smaller the number of network nodes in each domain and, generally, the faster the routing computations and routing tables search times. In addition, the recovery mechanism results in reducing recovery time for high priority traffic by nearly 90% over that of lower priority traffic. However, increasing the number of hierarchical levels results in a linear increase in signaling storm size.
  Integrated Network Management, 2009. IM '09. IFIP/IEEE International Symposium on; 07/2009