124,715 research outputs found

    Rahmani. — Testamentum Domini Nostri Jesu Christi, nunc primum edidit, latine reddidit et illustravit Ignatius Ephraem II Rahmani, patriarcha Antiochenus Syrorum.

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    Rahmani. — Testamentum Domini Nostri Jesu Christi, nunc primum edidit, latine reddidit et illustravit Ignatius Ephraem II Rahmani, patriarcha Antiochenus Syrorum.. In: Échos d'Orient, tome 3, n°4, 1900. p. 256

    Rahmani. — Testamentum Domini Nostri Jesu Christi, nunc primum edidit, latine reddidit et illustravit Ignatius Ephraem II Rahmani, patriarcha Antiochenus Syrorum.

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    Rahmani. — Testamentum Domini Nostri Jesu Christi, nunc primum edidit, latine reddidit et illustravit Ignatius Ephraem II Rahmani, patriarcha Antiochenus Syrorum.. In: Échos d'Orient, tome 3, n°4, 1900. p. 256

    Rahmani Zahia, Moze

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    Renard Michel. Rahmani Zahia, Moze. In: Outre-mers, tome 90, n°338-339, 1er semestre 2003. l'Etat et les pratiques administratives en situation coloniale, sous la direction de Marc-Olivier Baruch et Vincent Duclert. p. 321

    Cherif Rahmani, La Croissance urbaine en Algérie

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    Hadjiedj Ali. Cherif Rahmani, La Croissance urbaine en Algérie. In: Annales de Géographie, t. 95, n°528, 1986. pp. 257-259

    "Musulman" Roman Zahia Rahmani Sabine Wespieser, 2005

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    Harzoune Mustapha. "Musulman" Roman Zahia Rahmani Sabine Wespieser, 2005. In: Hommes et Migrations, n°1259, Janvier-février 2006. Laïcité : les 100 ans d’une idée neuve. II. Culture(s), religion(s) et politique. p. 142

    I. E. Rahmani, Testamentum Domini nostri Jesu Christi.

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    Petit L. I. E. Rahmani, Testamentum Domini nostri Jesu Christi.. In: Échos d'Orient, tome 3, n°5, 1900. pp. 319-320

    Figure 4 Bulbolaelaps bossei n. gen., n in A new genus and species of Digamasellidae (Acari: Mesostigmata) displaying some extraordinary gnathosomal structures

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    Figure 4 Bulbolaelaps bossei n. gen., n. sp. (female): A and B – Chelicerae; C – Epistome; E – Palp, ventral view; F – Hypostome; G – Tritosternum; (male): D – Epistome; H – Chelicera.Published as part of Faraji, Farid, Zare, Mohsen & Rahmani, Hasan, 2021, A new genus and species of Digamasellidae (Acari: Mesostigmata) displaying some extraordinary gnathosomal structures, pp. 967-977 in Acarologia 61 (4) on page 974, DOI: 10.24349/o0sa-j8xy, http://zenodo.org/record/715987

    Wireless Mobile Communication and Healthcare 7th International Conference, MobiHealth 2017, Vienna, Austria, November 14–15, 2017, Proceedings

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    This book constitutes the refereed post-conference proceedings of the 7th International Conference on Mobile Communication and Healthcare, MobiHealth 2017, held in Vienna, Austria, in November 2017. The 34 revised full papers were reviewed and selected from more than 50 submissions and are organized in topical sections covering data analysis, systems, work-in-process, pervasive and wearable health monitoring, advances in healthcare services, design for healthcare, advances in soft wearable technology for mobile-health, sensors and circuits

    SPO: A Secure and Performance-aware Optimization for MapReduce Scheduling

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    MapReduce is a common framework that effectively processes multi-petabyte data in a distributed manner. Therefore, MapReduce is widely used in heterogeneous environments, such as cloud, to provide performance adequate for system needs. Despite the MapReduce benefits, tweaking the system configuration to achieve the maximum performance is still challenging and needs deep expertise. Besides, some new MapReduce security issues, which has not been well-addressed yet, are recently raised. In this paper, we present a performance-aware and secure framework, named SPO, to minimize the makespan of the tasks while considering task security constraints. Inspired by the HEFT algorithm, first, we introduce SPO, which proposes a two-stage static scheduler in Map and Reduce phases, respectively, to minimize makespan while considering network traffic. Plus, SPO∗ introduces a mathematical optimization model of the proposed scheduler aiming to estimate the system performance while considering security constraints with an error of less than 2%. The experimental results demonstrate that SPO outperforms Hadoop-stock in terms of makespan and network traffic by 29% and 31%, respectively, for the tasks running in heterogeneous environments

    MapReduce: an infrastructure review and research insights

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    In the current decade, doing the search on massive data to find “hidden” and valuable information within it is growing. This search can result in heavy processing on considerable data, leading to the development of solutions to process such huge information based on distributed and parallel processing. Among all the parallel programming models, one that gains a lot of popularity is MapReduce. The goal of this paper is to survey researches conducted on the MapReduce framework in the context of its open-source implementation, Hadoop, in order to summarize and report the wide topic area at the infrastructure level. We managed to do a systematic review based on the prevalent topics dealing with MapReduce in seven areas: (1) performance; (2) job/task scheduling; (3) load balancing; (4) resource provisioning; (5) fault tolerance in terms of availability and reliability; (6) security; and (7) energy efficiency. We run our study by doing a quantitative and qualitative evaluation of the research publications’ trend which is published between January 1, 2014, and November 1, 2017. Since the MapReduce is a challenge-prone area for researchers who fall off to work and extend with, this work is a useful guideline for getting feedback and starting research
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