Cloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to ensure every individual data is secured and always accessible. Hence, an appropriate replication strategy capable of selecting essential data is required in cloud replication environments as the solution. This paper proposed a Crucial File Selection Strategy (CFSS) to address poor response time in a cloud replication environment. A cloud simulator called CloudSim is used to conduct the necessary experiments, and results are presented to evidence the enhancement on replication performance. The obtained analytical graphs are discussed thoroughly, and apparently, the proposed CFSS algorithm outperformed another existing algorithm with a 10.47% improvement in average response time for multiple jobs per round.
It was the sayings of Andalusia scholars in agriculture based on experiments and theories that helped a lot in the success and development of agriculture in the Andalusia ,and also The divisions of the soil and out types and forms it helped a lot of to know arable of non-arable land earth and all off the determination of the color of repentance is important often discovered by agricultural scientists and that helped in the cultivation of certain crops in certain land without another land.and though each particular agricultural crops specific soil in which to live and not live in other soil ,
تعد الجامعات من أهم المؤسسات المجتمعية التي تؤثر وتتأثر بالجو الاجتماعي المحيط بها، فهي من صنع المجتمع من ناحية، ومن ناحية أخرى هي أداته في صنع قياداته السياسية، الفكرية، الفنية، والمهنية، ومن هنا كان لكل جامعة رسالتها التي تتولى تحقيقها، فالجامعة في القرن العشرين تختلف رسالتها وغايتها عن الجامعة في القرن الحادي والعشرين. ولكي تقوم الجامعة بدور أفضل في خدمة المجتمع وتحمل المسؤولية المجتمعية فلابد لها من وض
... Show MoreThe phenomenon of multi-class construction and landlords has increased in Iraq, and this is not justified except because of the change in the economic and social conditions in it, because like any social system interacts with what happens in society, whether it is positive or negative, and since the vertical housing system contains common parts and these parts need to Maintenance and preservation, and in order to continue to perform the construction and other parts in an effective and regular manner for a long period of time and with appropriate efficiency, it must be maintained, and maintenance is one of the most important and difficult problems facing the partners. It is recognized that it is not possible to understand these practical dif
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تتميز هذه الورقة بتناولها موضوعاً يخشى الكثيرون الخوض فيه للملابسات الدائرة حوله، وهو اصحاب المصالح كموضوع مهم في الفكر الستراتيجي. فخاضت في مفاهيمه العامة وتصنيفاته ومنظوراته، ووجدت في مفهومه بأنهم اولئك الذين يمكن تمثيلهم بالمجاميع او الوحدات المستقلة التي ترتبط بمنظمة الاعمال عبر شبكة علاقات مؤثرة مختلفة الابعاد والاتجاهات، واذا ما حدث أي خلل في توازن هذه العلاقات، قد ت
... Show Moreاستخدام سلاسل ماركوف في التعرف على تعقبات الحامض النووي DNA
The object of this study is to establish a global model to use of DeNovo programming the strategies of multi-Decision making process in the city of Baghdad.
Thus, we have chosen an important and an effective subject in the life of the citizen due to the importance of this subject in the Iraqi citizen of luck of water and for many reasons.
In this thesis, we have tackled the establishment of a global model to be able to reach solution or an alternative model a money the available alternative.
The alternative proposed here utilizes the application of the (DeNovo) programming approach suggested by (1982) in solving t
... Show MoreLung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c
... Show MoreNowadays, university education stands in front of both students who feel they are weak and teachers who are addicted to using traditional and dependent teaching. This has led to have negative repercussions on the learner from different aspects, including the mental aspect and the academic achievement process. Therefore, the present research is concerned with finding a new teaching method that adopts the motivation by the fear of failure technique. Thus, the study aims to examine the effect of adopting this method on students’ academic achievement. To achieve this aim, an experimental method was used, and an achievement test was built for the curriculum material of level two students. The pretest test was applied on 17 male and female s
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