دانلود و نمایش مقالات مرتبط با Migration::صفحه 1
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نتیجه جستجو - Migration

تعداد مقالات یافته شده: 53
ردیف عنوان نوع
1 خوشامدگویی یا نه؟ - حس امنیت، تعلق خاطر و نگرش های افراد بومی نسبت به فرهنگ پذیری مهاجران
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 8 - تعداد صفحات فایل doc فارسی: 25
تنوع فرهنگی به دلیل مهاجرت تبدیل به یک وضوع کلیدی در بسیاری از جوامع امروزی شده است. این سوال که چگونه جمعیت بومی این توسعه ها را تجربه می کند دارای اهمیتی اساسی برای روابط بین فرهنگی است و پایه ای را برای فرهنگ پذیری مهاجران ایجاد می کند. ما با الهام از تحقیقات مربوط به تعلق خاطر و چند فرهنگی بودن، در اینجا فرض می کنیم که حس امنیت عمومی و خصوصی می تواند به نگرش های مثبت تر به تنوع فرهنگی مربوط شود درحالیکه حس تهدید می تواند به آزادی کمتر مربوط شود. به صورت صریح تر، مطالعه حاضر به بررسی این موضوع پرداخته است که چگونه تعلق خاطر عمومی افراد بومی (امن یا ترسان) و نیز حس امنیت (فرهنگی یا اقتصادی) خاص آنها می تواند به تجربیات آنها درباره فرهنگ پذیری مهاجران در کشور چند فرهنگه لوکزامبورگ مربوط شود. نمونه ما شامل 134 فرد لوکزامبورگی با میانگین سنی 02/45 (انحراف معیار 41/17) بود که یک پرسشنامه آنلاین را پر کردند. نتایج نشان داد که تعلق خاطر عمومی خود – گزارش شده توسط افراد ترسان رابطه ای مثبت با جهت گیری های غیر خوشامدگویانه ترِ فرهنگ پذیری دارد. روابط بین تعلق خاطر عمومی و جهت گیری های فرهنگ پذیری توسط حس امنیت فرهنگی وساطت می شود که تاثیراتی قوی روی جهت گیری های (غیر) خوشامدگویانه افراد بومی نسبت به دلستگی عمومی دارند. یافته ها بیانگر این هستند که جهت گیری های غیر خوشامدگویانه درقبال مهاجران که شامل آزادی برای برقراری رابطه و تبادل فرهنگی می شود، با حس امنیت فرهنگی و اقتصادی که به صورت جزئی توسط یک تعلق خاطر عمومی امن یا ترسان منحرف می شود، رابطه دارد. بنابراین به نظر می رسد که حس امنیت یک پایه امنی را برای دامنه و آزادی تنوع فرهنگی فراهم می کند که به منظور مواجهه موفقیت آمیز با چالش های جوامع چند فرهنگه امروزی مورد نیاز هستند.
مقاله ترجمه شده
2 A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers
یک سرور توانی کارآمد مشترک و دیدگاه یکپارچه سازی شبکه برای مراکز داده ای مجازی-2018
Cloud computing and virtualization are enabling technologies for designing energy-aware resource management mechanisms in virtualized data centers. Indeed, one of the main challenges of big data centers is to decrease the power consumption, both to cut costs and to reduce the environmental impact. To this extent, Virtual Machine (VM) consolidation is often used to smartly reallocate the VMs with the objective of reducing the power consumption, by exploiting the VM live migration. The consolidation problem consists in finding the set of migrations that allow to keep turned on the minimum number of servers needed to host all the VMs. However, most of the proposed consolidation approaches do not consider the network related consumption, which represents about 10–20% of the total energy consumed by IT equipment in real data centers. This paper proposes a novel joint server and network consolidation model that takes into account the power efficiency of both the switches forwarding the traffic and the servers hosting the VMs. It powers down switch ports and routes traffic along the most energy efficient path towards the least energy consuming server under QoS constraints. Since the model is complex, a fast Simulated Annealing based Resource Consolidation algorithm (SARC) is proposed. Our numerical results demonstrate that our approach is able to save on average 50% of the network related power consumption compared to a network unaware consolidation.
keywords: Cloud| Virtualization| Power| Green computing| Simulated annealing
مقاله انگلیسی
3 Practices of conformity and transgression in an out-of-school reading programme for ‘at risk’ children
روشهای تایید و سرپیچی در یک برنامه آموزشی خارج از مدرسه برای بچه های پرخطر-2018
A large body of research has demonstrated that the plurilingualisms and pluriliteracies that children and youth bring to classrooms are often not those required for school success. This is even more so for students from underprivileged backgrounds, a demographic where children and youth with family backgrounds of immigration are over-represented. This article reports on ethnographic research at an after-school reading programme for primary school children considered to be at risk of school failure in the old town of Barcelona. Results suggest that the practices of pluriliteracy supported by the programme often conform with those inherent to the childrens formal education; that is, with the very practices that have contributed to the children being placed in the programme to begin with. However, through the fine-grained analysis of child–volunteer interactions, certain practices that subtly transgress these norms are identified. It is in such practices that we see potential for educational transformation.
keywords: Plurilingualism| Literacies| Translanguaging| Non-formal education| Children| Collaborative research
مقاله انگلیسی
4 Adaptation opportunities and maladaptive outcomes in climate vulnerability hotspots of northern Ghana
فرصت های سازگاری و خروجی های ناسازگاری در نقاط حساس آسیب پذیری های آب و هوایی شمال غنا-2018
How climate change adaptation practices can constrain development and deliver maladaptive outcomes in vulnerability hotspots is yet to be explored in-depth using case study analyses. This paper explores the effects of climate change coping and adaptation responses in three case study villages across the Central Gonja district of northern Ghana. The study addresses the following research questions: i) What are the key climatic and non-climatic stressors confronting households in northern Ghanaian communities? ii) How are households adapting to climatic and non-climatic stressors? and iii) What are the outcomes of these coping and adaptation responses on development? The study employs a mixed-method approach including key informant interviews, focus group discussions and household questionnaire surveys. Data identified socioeconomic stressors including a lack of access to (and high cost of) farm inputs, labour shortages and population growth. Climatic stressors include erratic rainfall, high temperature, droughts and floods. Climatic and non-climatic stressors interact to affect agricultural practices and related livelihoods. The study identified various adaptation measures including extensification and intensification of agriculture, temporary migration, planting of drought resistant varieties, irrigation, and livelihood diversification. We show that many coping measures (e.g. livelihood diversifications activities such as selling of firewood and charcoal production) and adaptation responses (including intensification, extensification and irrigation) currently deliver maladaptive outcomes, resulting in lock-ins that could exacerbate future climate vulnerabilities. The paper contributes to the growing literature on adaptation and climate risk management by providing empirical evidence showing how coping and adaptations measures can deliver maladaptive outcomes in vulnerable communities.
keywords: Maladaptation |Climate change and variability |Livelihoods |Mixed methods |Africa
مقاله انگلیسی
5 Climate change and the Syrian civil war, Part II: The Jazira’s agrarian crisis
تغییرات اقلیمی و جنگ داخلی سوریه، قسمت دوم: بحران زراعتی الجزیره است-2018
This article is the second in a series on the alleged links between climate change, drought and the onset of Syria’s civil war. In a previous article it was argued that there is little merit to the Syria-climate conflict thesis, including no clear evidence that drought-related migration contributed to civil war onset. Building on this earlier work, the present article investigates an issue which was not fully analysed in the previous one: the nature and causes of the pre-civil war agrarian crisis in Syria’s northeast Jazira region, and especially in the governorate of Hasakah. This crisis is usually represented as rooted essentially in a severe multi-year drought which, it is claimed, led to multiple crop failures and in turn large-scale migration. Here it is argued, by contrast, that the central causes of Hasakah’s agrarian crisis were long-term and structural, involving three main factors: extreme water resource degradation; deepening rural poverty; and underpinning these, specific features of Syria’s and Hasakah’s politics and political economy. The article contends, most notably, that the exceptional severity of Hasakah’s crisis was a function of the nationwide collapse of Syria’s agrarian and rentier model of state-building and development, combined with Hasakah’s distinctive political geography as an ethnically contested borderland and frontier zone. I thus conclude that rather than supporting narratives of environmental scarcity-induced conflict, the Syrian case actually confirms the opposite: namely, political ecologists’ insistence on the centrality of the po litical, and of conflict, in causing environmental scarcities and insecurities.
Keywords: Climate change ، Syrian civil war ، Drought ، Oil ، Frontiers ، Political ecology
مقاله انگلیسی
6 A multi-factor monitoring fault tolerance model based on a GPU cluster for big data processing
مدل تحمل نظارت بر گسل چند عامل بر اساس یک خوشه GPU برای پردازش داده های بزرگ-2018
High-performance computing clusters are widely used in large-scale data mining applica tions, and have higher requirements for persistence, stability and real-time use and sre therefore computationally intensive. To support large-scale data processing, we design a multi-factor real-time monitoring fault tolerance (MRMFT) model based on a GPU clus ter. However, the higher clock frequency of GPU chips results in excessively high energy consumption in computing systems. Moreover, the ability to support a long-lasting high temperature operation varies greatly between different GPUs owing to the individual dif ferences between the chips. In this paper, we design a GPU cluster energy consumption monitoring system based on wireless sensor networks (WSNs) and propose an energy con sumption aware checkpointing (ECAC) for high energy consumption problems with the following two advantages: the system sets checkpoints according to actual energy con sumption and the device temperature to improve the utilization of checkpoints and re duce time cost; and it exploits the parallel computing features of CPU and GPU to hide the CPU detection overhead in GPU parallel computation, and further reduce the time and energy consumption overhead in the fault tolerance phase. Using ECAC as the constraint and aiming for a persistent and reliable operation, the dynamic task migration mechanism is designed, and the reliability of the cluster is greatly improved. The theoretical analysis and experiment results show that the model improves the persistence and stability of the computing system while reducing checkpoint overhead.
Keywords: Big data processing ، GPU cluster ، Persistence computing ، Energy consumption ، Fault tolerance ، Energy consumption aware heckpointing ، Task migration
مقاله انگلیسی
7 Optimal Decision Making for Big Data Processing at Edge-Cloud Environment: An SDN Perspective
تصمیم گیری بهینه برای پردازش داده های بزرگ در محیط لبه-ابر: چشم انداز SDN-2018
With the evolution of Internet and extensive usage of smart devices for computing and storage, cloud computing has become popular. It provides seamless services such as e-commerce, e-health, e-banking, etc., to the end users. These services are hosted on massive geodistributed data centers (DCs), which may be managed by different service providers. For faster response time, such a data explosion creates the need to expand DCs. So, to ease the load on DCs, some of the applications may be executed on the edge devices near to the proximity of the end users. However, such a multiedge-cloud environment involves huge data migrations across the underlying network infrastructure, which may generate long migration delay and cost. Hence, in this paper, an efficient workload slicing scheme is proposed for handling data-intensive applications in multiedgecloud environment using software-defined networks (SDN). To handle the inter-DC migrations efficiently, an SDN-based control scheme is presented, which provides energy-aware network traffic flow scheduling. Finally, a multileader multifollower Stackelberg game is proposed to provide costeffective inter-DC migrations. The efficacy of the proposed scheme is evaluated on Google workload traces using various parameters. The results obtained show the effectiveness of the proposed scheme.
Index Terms: Cloud data centers, edge computing, energy efficiency, software-defined networks (SDNs), Stackel berg game
مقاله انگلیسی
8 مجموعه داده ها از نمونه های ارتش متحد برای مطالعه انتخاب محل و شبکه های اجتماعی
سال انتشار: 2018 - تعداد صفحات فایل pdf انگلیسی: 8 - تعداد صفحات فایل doc فارسی: 15
ما داده های عمومی موجود را که توسط پروژه برنامه های شاخص های اولیه ارزیابی شده NIA اغلب به عنوان داده های ارتش متحد را تهیه کردیم و زیر مجموعه ای از این داده ها را در " شبکه های اجتماعی پایدار" مورد استفاده قرار دادیم: سربازان کارآزموده در جنگ داخلی که در طول زندگی با یکدیگر همکاری می کنند. " (کاستا و همکاران، آینده) [1]. این زیرمجموعه داده می تواند برای تکمیل و تکثیر استفاده شود و همچنین نشان می دهد که چگون داده های اصلی تکمیلی مشتق شده از بایگانی اداری می تواند مورد استفاده قرار گیرد.
کلمات کلیدی: شبکه های اجتماعی | مهاجرت | مرگ و میر
مقاله ترجمه شده
9 Similarity simulation of mining-crack-evolution characteristics of overburden strata in deep coal mining with large dip
شبیه سازی شباهت ویژگی های تکامل معدنکاری-کراک سطوح غرقابی در معدن زغال سنگ عمیق با شیب زیاد-2018
Figuring out the mining-crack-evolution characteristics of overburden strata is very important to roof control, gas drainage, disaster prevention and high efficient mining. In order to obtain the mining-crack-evolution charac teristics of overburden strata in deep coal mining with large dip, in this study, No.1221 coal mining face of Zhao coal mine is chosen as the research object to establish an in-house experiment system of similarity simulation. The experiments could measure the stress and displacement of overburden strata, which can provide useful infor mation to investigate the mining-crack-evolution characteristics, displacement variations and movement char acteristics of overburden strata associated the coal mining face. Experimental results show that with the advancing of coal mining face, the scope of gob increases gradually, and formation of the false roof of overburden strata basically reflects the evolution process of collapsing. The overburden strata weight is constantly transferred to the front and rear of coal mining face, which forms the supporting pressures on both sides of coal pillars, and causes the gangues collapsing in gob. The large dip of coal seam results in pressure disequilibrium in stress increasing zone. Thus, the stress on the underside of gob becomes larger and larger, while the stress on upper side of gob decreases. The strata separation appears in the overburden strata of roof. Pressure-relief zone is mainly concentrated in the side of outlet roadway. Along the inclination direction of coal mining face, the crack development and strata separation are obvious, which create the passages for gas flow and migration. The sim ilarity simulation results provide fundamental information for better understanding those mining-crack-evolution characteristics of overburden strata, which has become more and more important to control the roadway stability in coal mining and optimize the layout of gas drainage boreholes for improving mining safety.
Keywords: Similarity simulation ، Deep coal seam ، Coal mining face ، Overburden strata ، Mining-crack- evolution characteristics
مقاله انگلیسی
10 Optimized Big Data Management across Multi-Cloud Data Centers: Software-Defined Network-Based Analysis
مدیریت داده های بزرگ بهینه شده در سراسر مراکز داده چند ابری: تحلیل مبتنی بر شبکه نرم افزار تعریف شده-2018
With an exponential increase in smart device users, there is an increase in the bulk amount of data generation from various smart devices, which varies with respect to all the essential Vs used to categorize it as big data. Generally, most service providers, including Google, Amazon, Microsoft and so on, have deployed a large number of geographically distributed data centers to process this huge amount of data generated from various smart devices so that users can get quick response time. For this purpose, Hadoop, and SPARK are widely used by these service providers for processing large datasets. However, less emphasis has been given on the underlying infrastructure (the network through which data flows), which is one of the most important components for successful implementation of any designed solution in this environment. In the worst case, due to heavy network traffic with respect to data migrations across different data centers, the underlying network infrastructure may not be able to transfer data packets from source to destination, resulting in performance degradation. Focusing on all these issues, in this article, we propose a novel SDN-based big data management approach with respect to the optimized network resource consumption such as network bandwidth and data storage units. We analyze various components at both the data and control planes that can enhance the optimized big data analytics across multiple cloud data centers. For example, we analyze the performance of the proposed solution using Bloom-filter-based insertion and deletion of an element in the flow table maintained at the OpenFlow controller, which makes most of the decisions for network traffic classification using the rule-and-action-based mechanism. Using the proposed solution, developers can deploy and analyze real-time traffic behavior for the future big data applications in MCE.
Keywords: Big Data,cloud computing, computer centres, software defined networking, telecommunication traffic
مقاله انگلیسی
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