1,790 research outputs found
Core elements in information security accountability in the cloud
This paper proposes 9 core elements of information security accountability in the area of cloud computing. The core elements were determined via a series of 18 case studies with Omani government organisations that were actively using and/or providing cloud computing. 36 interviews were conducted and then analysed using a grounded theory methodology As a result of the analysis, responsibility, transparency, assurance, remediation, accountability support environment, flexible change process, collaboration, mechanisms and commitment to external criteria. The research also found that the emphasis on specific core elements is context-dependent and that there was considerable variation in emphasis amongst the case study organisations
Literature-based analysis of the influences of the new forces on ISMS: A conceptual framework
This paper presents an analysis that arose from a comprehensive review of the academic and professional literature of two areas ā information security management systems (ISMS) and information resources ā and their relationship with information security. It analyzes the role of ISMS in protecting an organizationās information environment and infrastructure. It has identified four key areas that strongly influence the safety of information resources: cloud computing; social media/networking; mobility; and information management/big data. Commonly referred to as ānew forcesā, these four aspects are all growing exponentially and are not easily controlled by IT. Another key finding of the paper is that organizations aiming to protect their information resources need to adapt their ISMS in an environment where these new forces have exposed them to a range of external entities and influences
A Conceptual Framework for Accountability in Cloud Computing Service Provision
This paper uses a comprehensive review of the academic and professional literature in relation to accountability in the area of cloud computing service provision. It identifies four key conceptual factors that are necessary for an organisation to be considered as accountable. The four factors were found to be: responsibility, assurance, transparency and remediation. A key finding of the paper is that in order to be considered as an accountable cloud service provider, all four factors need to be implemented and be demonstrable by the organisation
Application of quasi-Monte Carlo methods to PDEs with random coefficients -- an overview and tutorial
This article provides a high-level overview of some recent works on the
application of quasi-Monte Carlo (QMC) methods to PDEs with random
coefficients. It is based on an in-depth survey of a similar title by the same
authors, with an accompanying software package which is also briefly discussed
here. Embedded in this article is a step-by-step tutorial of the required
analysis for the setting known as the uniform case with first order QMC rules.
The aim of this article is to provide an easy entry point for QMC experts
wanting to start research in this direction and for PDE analysts and
practitioners wanting to tap into contemporary QMC theory and methods.Comment: arXiv admin note: text overlap with arXiv:1606.0661
A Dimension-Adaptive Multi-Index Monte Carlo Method Applied to a Model of a Heat Exchanger
We present an adaptive version of the Multi-Index Monte Carlo method,
introduced by Haji-Ali, Nobile and Tempone (2016), for simulating PDEs with
coefficients that are random fields. A classical technique for sampling from
these random fields is the Karhunen-Lo\`eve expansion. Our adaptive algorithm
is based on the adaptive algorithm used in sparse grid cubature as introduced
by Gerstner and Griebel (2003), and automatically chooses the number of terms
needed in this expansion, as well as the required spatial discretizations of
the PDE model. We apply the method to a simplified model of a heat exchanger
with random insulator material, where the stochastic characteristics are
modeled as a lognormal random field, and we show consistent computational
savings
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Hot new directions for quasi-Monte Carlo research in step with applications
This article provides an overview of some interfaces between the theory of
quasi-Monte Carlo (QMC) methods and applications. We summarize three QMC
theoretical settings: first order QMC methods in the unit cube and in
, and higher order QMC methods in the unit cube. One important
feature is that their error bounds can be independent of the dimension
under appropriate conditions on the function spaces. Another important feature
is that good parameters for these QMC methods can be obtained by fast efficient
algorithms even when is large. We outline three different applications and
explain how they can tap into the different QMC theory. We also discuss three
cost saving strategies that can be combined with QMC in these applications.
Many of these recent QMC theory and methods are developed not in isolation, but
in close connection with applications
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The influence of microplastics on trophic interaction strengths and oviposition preferences of dipterans
Microplastic (MP) pollution continues to proliferate in freshwater, marine and terrestrial environments, but with their biotic implications remaining poorly understood. Biotic interactions such as predation can profoundly influence ecosystem structuring, stability and functioning. However, we currently lack quantitative understandings of how trophic interaction strengths and associated behaviours are influenced by MP pollution, and how transference of MPs between trophic levels relates to consumptive traits. We also lack understanding of key life-history effects of MPs, for example, reproductive strategies such as oviposition. The present study examines the predatory ability of non-biting midge larvae, Chaoborus flavicans, towards larvae of Culex pipiens mosquitoes when the latter are exposed to MPs, using a functional response (FR) approach. Transfer of MPs occurred from larval mosquitoes to larval midges via predation. Microplastics transfer was significantly positively related to predation rates. Predation by C. flavicans followed a Type II FR, with average maximum feeding rates of 6.2 mosquito larvae per hour. These and other FR parameters (attack rates and handling times) were not significantly influenced by the presence of MPs. Further, C. pipiens adults did not avoid ovipositing in habitats with high concentrations of MPs. We thus demonstrate that MPs can move readily through freshwater food webs via biotic processes such as predation, and that uptake correlates strongly with consumption rates. Further, as MPs do not deter adult mosquitoes from ovipositing, our experiments reveal high potential for MP exposure and transference through ecosystems
Clinical Relevance of Nontuberculous Mycobacteria, Oman
Little is known about the clinical relevance of nontuberculous mycobacteria (NTM) in the Arabian Peninsula. We assessed the prevalence and studied a random sample of isolates at a reference laboratory in Muscat, Oman. NTM cause disease in this region, and their prevalence has increased
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