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‫‪Performance‬‬ ‫‪Evaluation‬‬ ‫‪of‬‬ ‫‪Distributed‬‬ ‫‪Storage‬‬ ‫‪Systems‬‬ ‫‪in‬‬ ‫‪Cloud‬‬ ‫‪Environment‬‬

تقييم أداء نظم التخزين الموزع في البيئة السحابية

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 Publication date 2019
and research's language is العربية
 Created by shadi yousef




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Batteries are energy storage devices that are particularly useful for powering small portable devices like phones, laptops and entertainment devices as well as mobility devices that travel over the earth's surface, through water and air. During the night, or during a period of low solar irradiation, energy is supplied to the load from the battery in solar electrical Power Systems, and that provides Continuity of power supply, and on the other hand boosts the Reliability of the system.
With the rapid growth of the size of the data stored in the cloud systems, the need for effective data processing becomes critical and urgent. This research introduces a study of the most important characteristics of databases management systems: H ive, SQLMR, and MariaDB Galera. Hive is a cloud database management system. SQLMR is a hybrid system, which depends on the integration between the cloud and traditional systems capabilities. While MariaDB Galera is a traditional database management system developed to cope with the cloud characteristics. In this research, we show the most important developments that have been on those systems, and then we compare their performance in data processing based on the execution time of query operations with the change of the volume of data. That is to identify the performance of those systems practically and to know the developing requirements for access to optimized data management system, and to help users in the selection of the database system that achieves their requirements in terms of availability and scalability.
The objective of this work is to study and design a module of super capacitors for recovering the braking energy in trolleybuses. The module of super capacitors is charged and discharged by Buck-Boost converter that is reversible in current. The co ntrol and the smoothing elements of the converter are designed with taking into account the non-linear nature of super capacitors. To recover quickly the braking energy, the module is charged with constant current, while the discharging is done with constant voltage on the DC link of trolleybus. The module of super capacitors in its different operations (starting up, powering auxiliary equipments, braking) is simulated in the SIMPLORER environment. As a result, the different operating values (as voltage, current and temperature) are determined for the elements of the studied module (diodes, IGBTs, capacitor, super capacitors). Finally, the failure rate and the reliability of the module elements are estimated depending on the different operating factors. The module faults is analyzed.
The Virtualization is the main structure, and the most important component from the others cloud computing components. Due to the features which are produced only from the virtual environment, such as flexibility, cost, energy saving, and the optim al usage of the resources, most business companies and the governments look ahead for deploying their services and applications on virtual severs instead of the physical ones. That point made the researchers heading toward performance comparing through different virtual environments. For reaching the best possible environment which is suitable to be used in the cloud computing, and to get the high performance computing. We described the effect evolution of the virtual environment on the high performance computing as a service, through changing the type of the used virtual environment in the infrastructures. We used the virtual environment XEN-PV ( XEN-Paravirtualization) as an infrastructures for the high performance. Lastly, I used the XEN-HVM (XEN HardWare virtual machine ), XEN is the main hypervisor in Citrix company and the performance has been evaluated by using DRBD as a shared storage of virtual disk. The results of our researches proved that both the virtual environment, and the selected clustering charts have a visible, important role in the performance of the “The high performance computing”.
There are many methods and suggestions proposed to improve the efficiency of search in order to catch up with the increasing speed of information boom on the web. Most of these proposals are concentrated on term frequency and page rank algorithms a nd yet very few of them focus on semantic relationship of content. The objective of this research project is to provide a semantic relationship model that can be used for semi-structured or unstructured information on the web to help improve the accuracy and efficiency of search engine.

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