The Refugee Problem: An International Legal Tangle

Change is constant and computing paradigm is no exception. It has witnessed major shifts right from centralized client server systems to widely distributed systems. This time the locus of change in the computing paradigm is moving towards virtualization, paving way to cloud computing. Cloud computing aims at providing computing services to its users as an utility. It allows its authenticated users to access a wide range of highly scalable computing capabilities and services via the internet on a pay-per-usage basis. Organisations not only view these benefits as cost-saving strategies, but also aim at improving the competitive advantages using cloud computing. Hence, this has given rise to a new horizon in IT/IS outsourcing. With a collaboration of cloud computing and outsourcing emerged a new concept called cloudsourcing. Cloudsourcing can be termed as the next generation outsourcing and the next phase of cloud computing promising benefits from both the areas. Cloudsourcing is outsourcing traditional business via the cloud infrastructure. Though there is pompous popularity surrounding this new technology, there is much hesitation in adopting it due to the inherent security issues. This paper discusses in detail the security issues and possible solution to the same. As this is a new concept, not much work is identified to be done in providing a set of guidelines to adopt cloudsourcing that are very specific to information security. This work intends to fill this aperture by building a set of well-defined information security guidelines, which can be termed as a novel. For this purpose, design science research method proposed by Hevner et al is used so as to accomplish this goal. Initially, a literature study is done after which an exploratory study comprising of interviews is done to gather qualitative data. The results of the exploratory interview is tested for correctness and evaluated based on an evaluation study comprising a survey based questionnaire. The analysis of the evaluation study results provides the final results. In such an attempt, the identified countermeasures to risks are classified into three groups namely, organisational, technical and regulatory and compliance guidelines. Hence the end results constituting the set of information security guidelines are classified into the above mentioned groups. This work is assumed to contribute to our understanding of information security in cloudsourcing and in supporting IT decision makers, IT project managers and security executives of organisations for a smooth and secure transition towards cloudsourcing their business

Influence of image analysis strategy, cooling rate, and sample volume on apparent protein cloud-point temperature determination

The protein cloud-point temperature (T$_{Cloud}$) is a known representative of protein–protein interaction strength and provides valuable information during the development and characterization of protein-based products, such as biopharmaceutics. A high-throughput low volume T$_{Cloud}$ detection method was introduced in preceding work, where it was concluded that the extracted value is an apparent T$_{Cloud}$ (T$_{Cloud,app}$). As an understanding of the apparent nature is imperative to facilitate inter-study data comparability, the current work was performed to systematically evaluate the influence of 3 image analysis strategies and 2 experimental parameters (sample volume and cooling rate) on T$_{Cloud,app}$ detection of lysozyme. Different image analysis strategies showed that T$_{Cloud,app}$ is detectable by means of total pixel intensity difference and the total number of white pixels, but the latter is also able to extract the ice nucleation temperature. Experimental parameter variation showed a T$_{Cloud,app}$ depression for increasing cooling rates (0.1–0.5 °C/min), and larger sample volumes (5–24 μL). Exploratory thermographic data indicated this resulted from a temperature discrepancy between the measured temperature by the cryogenic device and the actual sample temperature. Literature validation confirmed that the discrepancy does not affect the relative inter-study comparability of the samples, regardless of the image analysis strategy or experimental parameters. Additionally, high measurement precision was demonstrated, as T$_{Cloud,app}$ changes were detectable down to a sample volume of only 5 μL and for 0.1 °C/min cooling rate increments. This work explains the apparent nature of the T$_{Cloud}$ detection method, showcases its detection precision, and broadens the applicability of the experimental setup

Exploratory Analysis of Highly Heterogeneous Document Collections

We present an effective multifaceted system for exploratory analysis of highly heterogeneous document collections. Our system is based on intelligently tagging individual documents in a purely automated fashion and exploiting these tags in a powerful faceted browsing framework. Tagging strategies employed include both unsupervised and supervised approaches based on machine learning and natural language processing. As one of our key tagging strategies, we introduce the KERA algorithm (Keyword Extraction for Reports and Articles). KERA extracts topic-representative terms from individual documents in a purely unsupervised fashion and is revealed to be significantly more effective than state-of-the-art methods. Finally, we evaluate our system in its ability to help users locate documents pertaining to military critical technologies buried deep in a large heterogeneous sea of information.Comment: 9 pages; KDD 2013: 19th ACM SIGKDD Conference on Knowledge Discovery and Data Minin

Supply Chain Information Systems and Organisational Performance in Economic Turbulent Times

Supply Chain Information Systems and their impact on organisational performance has been studied by a number of studies. This study seeks to extend this body of knowledge by adopting a fresh lens to explore empirically the relationship between organizational performance and SCIS in circumstances of economic downturn and financial turbulence. The statistical relationship between Supply Chain Information Systems (SCIS) ˜Effectiveness and ˜Organisational Performance is tested and measured by multidimensional financial and non-financial variables. So even though complexities associated with measuring SCIS efficiency and Organisational Performance continue to dominate research discussions these are somewhat limited to just explaining the phenomenon without addressing the misalignment of the information provided by SCIS, business expectations and Organisational Performance. In consequence this papers reports findings from a large survey of 168 SCIS managers in Greek SMEs where even through economic downturn a strong correlation between SCIS and non-financial Organisational Performance is evidenced. In considering the findings this study proposes guidance to enhance SCIS Effectiveness and Organisational Performance

Technology, governance, and a sustainability model for small and medium-sized towns in Europe

New and cutting-edge technologies causing deep changes in societies, playing the role of game modifiers, and having a significant impact on global markets in small and medium-sized towns in Europe (SMSTEs) are the focus of this research. In this context, an analysis was carried out to identify the main dimensions of a model for promoting innovation in SMSTEs. The literature review on the main dimensions boosting the innovation in SMSTEs and the methodological approach was the application of a survey directed to experts on this issue. The findings from the literature review reflect that technologies, governance, and sustainability dimensions are enablers of SMSTEs’ innovation, and based on the results of the survey, a model was implemented to boost innovation, being this the major add-on of this research.info:eu-repo/semantics/publishedVersio

Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

DevOps in Practice -- A preliminary Analysis of two Multinational Companies

DevOps is a cultural movement that aims the collaboration of all the stakeholders involved in the development, deployment and operation of soft-ware to deliver a quality product or service in the shortest possible time. DevOps is relatively recent, and companies have developed their DevOps prac-tices largely from scratch. Our research aims to conduct an analysis on practic-ing DevOps in +20 software-intensive companies to provide patterns of DevOps practices and identify their benefits and barriers. This paper presents the preliminary analysis of an exploratory case study based on the interviews to relevant stakeholders of two (multinational) companies. The results show the benefits (software delivery performance) and barriers that these companies are dealing with, as well as DevOps team topology they approached during their DevOps transformation. This study aims to help practitioners and researchers to better understand DevOps transformations and the contexts where the practices worked. This, hopefully, will contribute to strengthening the evidence regarding DevOps and supporting practitioners in making better informed decisions about the return of investment when adopting DevOps.Comment: 8 pages, 1 figure, 2 tables, conferenc