‘Fitting In’: Social Cohesion among Skilled Migrant Indian Women and Host Diasporic Communities in South Africa

Migration has traditionally been seen as a primarily male domain, particularly in developing countries. However, global practices have increased the visibility of women migrants such that the feminisation and irregularisation of migration has led to new flows of transnational migrant movements, particularly to South Africa. Attention is drawn to the growth of South-South migration, specifically focusing on Indian migrant women, as accompanying their professional spouses migrating to South Africa. Set within a social cohesion framework, this paper examines how the women attempt to find a ‘fit’ in a socially diverse society where distrust, exclusion and racism still prevail. This investigation is based on exploratory research using qualitative interviews conducted with married Indian women. The focus of this paper examines the reasons for their migration, their choice to migrate specifically to South Africa, perceptions of South Africa, their sense of inclusion and observes if they develop a sense of belonging to the country. Preliminary findings show that the migrants find South Africans very tolerant, but keep to themselves as the fear of crime impedes integration

Migrant communities, identity, and belonging : exploring the views of South Asian migrants in Fordsburg, South Africa

Abstract: In May 2016 the murder of Masonga Kitanda Olivier, a 23- year-old Congolese French teacher in New Delhi, India turned the lens on racism and discrimination on African nationals living in India. In the week after Olivier’s death, two further incidents against foreign nationals were reported. In Hyderabad, a Nigerian male was beaten up and hospitalised and in the south Delhi area, three separate attacks on nine African nationals, including four women and a boy took place. These attacks are not new and such incidents have been reported since 2013. While these attacks have been reported, many such incidents go unreported and daily incidents of racism continue unabated. The attacks against African nationals highlight incidents of discrimination experienced by African students and workers on the Indian sub-continent. Govindarajan (2016) argues that the government seems unwilling to acknowledge that xenophobia might be rife within its communities; instead it seeks to implement short term measures as opposed to long-term

High Performance Fault-Tolerant Hadoop Distributed File System

The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. Huge amounts of data generated from many sources daily. Maintenance of such data is a challenging task. One proposing solution is to use Hadoop. The solution provided by Google, ?Doug Cutting? and his team developed an Open Source Project called Hadoop. Hadoop is a framework written in Java for running applications on large clusters of commodity hardware. The Hadoop Distributed File System (HDFS) is designed to be scalable, fault-tolerant, distributed storage system. Hadoop?s HDFS is a highly fault-tolerant distributed file system and, like Hadoop in general, designed to be deployed on low-cost hardware. The HDFS stores filesystem Metadata and application data separately. HDFS stores Metadata on separate dedicated server called NameNode and application data stored on separate servers called DataNodes. The file system data is accessed via HDFS clients, which first contact the NameNode data location and then transfer data to (write) or from (read) the specified DataNodes. Download file request chooses only one of the servers to download. Other replicated servers are not used. As the file size increases the download time increases. In this paper we work on three policies for selection of blocks. Those are first, random and loadbased. By observing the results the speed of download time for file is ?first? runs slower than ?random? and ?random? runs slower than ?loadbased?

Muslim identity, psychic detachment, and universal rights

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Application of Efron-Petrosian method to radio pulsar fluxes: A proof of principle

Recently, it has been shown via the application of the Efron-Petrosian technique that the gamma-ray fluxes of pulsars scale with distance according to $F \propto D^{-3/2}$, thereby pointing to a violation of the inverse-square law. We apply the same procedure as in these works to the radio fluxes of pulsars detected in the Parkes multi-beam survey as well as for a synthetic population of pulsars whose fluxes scale with distance based on the inverse-square law. We find that both the observed data and the synthetic pulsar population show the same trends for the Efron-Petrosian statistics. Furthermore, lower values of the distance exponent are favored compared to the distance exponent of two (corresponding to inverse-square law) even for the synthetic pulsar population. Therefore, we conclude that the Efron-Petrosian method cannot be used to infer a violation of the inverse-square law for radio pulsar fluxes.Comment: 12 pages, 18 figure