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Search Results: 1 - 10 of 21049 matches for " Gary Andrew McGilvary "
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Ad hoc Cloud Computing: From Concept to Realization
Gary Andrew McGilvary,Adam Barker,Malcolm Atkinson
Computer Science , 2015,
Abstract: This paper presents the first complete, integrated and end-to-end solution for ad hoc cloud computing environments. Ad hoc clouds harvest resources from existing sporadically available, non-exclusive (i.e. primarily used for some other purpose) and unreliable infrastructures. In this paper we discuss the problems ad hoc cloud computing solves and outline our architecture which is based on BOINC.
V-BOINC: The Virtualization of BOINC
Gary A. McGilvary,Adam Barker,Ashley Lloyd,Malcolm Atkinson
Computer Science , 2013,
Abstract: The Berkeley Open Infrastructure for Network Computing (BOINC) is an open source client-server middleware system created to allow projects with large computational requirements, usually set in the scientific domain, to utilize a technically unlimited number of volunteer machines distributed over large physical distances. However various problems exist deploying applications over these heterogeneous machines using BOINC: applications must be ported to each machine architecture type, the project server must be trusted to supply authentic applications, applications that do not regularly checkpoint may lose execution progress upon volunteer machine termination and applications that have dependencies may find it difficult to run under BOINC. To solve such problems we introduce virtual BOINC, or V-BOINC, where virtual machines are used to run computations on volunteer machines. Application developers can then compile their applications on a single architecture, checkpointing issues are solved through virtualization API's and many security concerns are addressed via the virtual machine's sandbox environment. In this paper we focus on outlining a unique approach on how virtualization can be introduced into BOINC and demonstrate that V-BOINC offers acceptable computational performance when compared to regular BOINC. Finally we show that applications with dependencies can easily run under V-BOINC in turn increasing the computational potential volunteer computing offers to the general public and project developers.
Enhanced Usability of Managing Workflows in an Industrial Data Gateway
Gary A. McGilvary,Malcolm Atkinson,Sandra Gesing,Alvaro Aguilera,Richard Grunzke,Eva Sciacca
Computer Science , 2015,
Abstract: The Grid and Cloud User Support Environment (gUSE) enables users convenient and easy access to grid and cloud infrastructures by providing a general purpose, workflow-oriented graphical user interface to create and run workflows on various Distributed Computing Infrastructures (DCIs). Its arrangements for creating and modifying existing workflows are, however, non-intuitive and cumbersome due to the technologies and architecture employed by gUSE. In this paper, we outline the first integrated web-based workflow editor for gUSE with the aim of improving the user experience for those with industrial data workflows and the wider gUSE community. We report initial assessments of the editor's utility based on users' feedback. We argue that combining access to diverse scalable resources with improved workflow creation tools is important for all big data applications and research infrastructures.
C2MS: Dynamic Monitoring and Management of Cloud Infrastructures
Gary A. McGilvary,Josep Rius,í?igo Goiri,Francesc Solsona,Adam Barker,Malcolm Atkinson
Computer Science , 2013,
Abstract: Server clustering is a common design principle employed by many organisations who require high availability, scalability and easier management of their infrastructure. Servers are typically clustered according to the service they provide whether it be the application(s) installed, the role of the server or server accessibility for example. In order to optimize performance, manage load and maintain availability, servers may migrate from one cluster group to another making it difficult for server monitoring tools to continuously monitor these dynamically changing groups. Server monitoring tools are usually statically configured and with any change of group membership requires manual reconfiguration; an unreasonable task to undertake on large-scale cloud infrastructures. In this paper we present the Cloudlet Control and Management System (C2MS); a system for monitoring and controlling dynamic groups of physical or virtual servers within cloud infrastructures. The C2MS extends Ganglia - an open source scalable system performance monitoring tool - by allowing system administrators to define, monitor and modify server groups without the need for server reconfiguration. In turn administrators can easily monitor group and individual server metrics on large-scale dynamic cloud infrastructures where roles of servers may change frequently. Furthermore, we complement group monitoring with a control element allowing administrator-specified actions to be performed over servers within service groups as well as introduce further customized monitoring metrics. This paper outlines the design, implementation and evaluation of the C2MS.
Using Single-Item Measures to Examine the Relationships between Work, Personality, and Well-Being in the Workplace  [PDF]
Gary M. Williams, Andrew P. Smith
Psychology (PSYCH) , 2016, DOI: 10.4236/psych.2016.76078

Measuring the well-being of employees through questionnaire measures can give a useful indication of the positive or negative mental health of a workforce along with their satisfaction with their circumstances. Furthermore, measuring the antecedents of these outcomes provides a basis for reducing negative outcomes and promoting positive mental health and satisfaction within an organization. This endeavour can quickly become impractical, however, as taking into account the range of possible environmental or personal factors, can lead to a lengthy and burdensome measurement tool. The current paper examines the use of single-items for this purpose, demonstrating that single-item measures of work-related and personality factors exhibit relationships with each other and with outcomes that the literature on well-being predicts. Using multiple-regression analysis, the results show that work related factors such as control and reward provide significant predictors of well-being outcomes including job satisfaction, while personality factors such as self-esteem and self-efficacy are significant predictors of all outcome measures. Furthermore, variations in the relationships with specific outcomes and interaction effects are found. The results suggest that using single-item measures may provide a valid approach to investigating well-being in the workplace in circumstances that may require very brief scales.

Stress and Well-Being of University Staff: An Investigation Using the Demands-Resources-Individual Effects (DRIVE) Model and Well-Being Process Questionnaire (WPQ)  [PDF]
Gary Williams, Kai Thomas, Andrew P. Smith
Psychology (PSYCH) , 2017, DOI: 10.4236/psych.2017.812124
Abstract: Research suggests that university staff have high stress levels but less is known about the well-being of this group. The present study used an adapted version of the Demands-Resources-Individual Effects (DRIVE) model to investigate these topics. It also used the Well-Being Process Questionnaire (WPQ) which consists of single items derived from longer scales. One hundred and twenty university staff participated in an online survey. The single items had good concurrent validity and estimated reliability. Factor analyses showed that single items and the longer scales loaded on the same factor. Work characteristics could be sub-divided into two factors (resources and demands), as could personality (positive personality and openness/agreeable/conscientious), coping (positive and negative coping) and outcomes (positive well-being and negative outcomes such as stress and anxiety). Results from regressions showed that positive well-being was predicted by positive personality and positive coping. Negative outcomes were predicted by job demands and negative coping. Overall, the study has demonstrated the utility of the adapted DRIVE model and shown that a short single item measuring instrument can quickly capture a wide range of job and psychosocial characteristics.
Entérese rápidamente de la crisis financiera: guía para el lector de fin de semana
Gary Gorton,Andrew Metrick
Revista de Economía Institucional , 2012,
Abstract: Todos los economistas deberían saber “qué sucedió” durante la crisis financiera de 2007-2009. Seleccionamos y resumimos 16 documentos, incluidos artículos académicos e informes de agencias reguladoras e internacionales. Esta lista de lecturas cubre los mecanismos y hechos claves del aumento del riesgo, los pánicos en los mercados de deuda de corto plazo, las reacciones de política y los efectos reales de la crisis financiera.
Counting States of Near-Extremal Black Holes
Gary Horowitz,Andrew Strominger
Physics , 1996, DOI: 10.1103/PhysRevLett.77.2368
Abstract: A six-dimensional black string is considered and its Bekenstein-Hawking entropy computed. It is shown that to leading order above extremality, this entropy precisely counts the number of string states with the given energy and charges. This identification implies that Hawking decay of the near-extremal black string can be analyzed in string perturbation theory and is perturbatively unitary.
The Student Well-Being Process Questionnaire (Student WPQ)  [PDF]
Gary M. Williams, Hannah Pendlebury, Kai Thomas, Andrew P. Smith
Psychology (PSYCH) , 2017, DOI: 10.4236/psych.2017.811115
Abstract: Recent research has used short questionnaires based on single item versions of psychosocial concepts to assess well-being. This has largely been confined to occupational samples and the present article describes the extension of this process to university students. The Student Well-being Process Questionnaire (Student WPQ) was used to examine predictors of positive well-being, negative mental health and cognitive function. An online survey was used with 478 first and second year undergraduates as participants. Regression analyses showed that positive well-being (e.g. happiness, positive affect and life satisfaction) was predicted by positive personality (high optimism, self-esteem and self-efficacy), high social support and low stressors and low negative coping scores. Negative outcomes (e.g. perceived stress, anxiety and depression) were predicted by high stressor, coping and conscientiousness scores, and low positive personality and social support scores. Cognitive problems were predicted by high stressor and negative coping scores and low positive personality scores. A MANOVA showed that there were no significant interactions between the predictor variables. The best predictor of all outcomes was a combined score including all predictor variables. Overall, the present study shows that the Student WPQ can provide useful information on predictors of different aspects of well-being. Future research can include additional potential predictors and other outcomes to determine whether other factors are significant when established predictors are adjusted for.
Dynamics of the forward vortex cascade in two-dimensional quantum turbulence
Andrew Forrester,Gary A. Williams
Physics , 2014, DOI: 10.1088/1742-6596/568/012031
Abstract: The dynamics of the forward vortex cascade in 2D turbulence in a superfluid film is investigated using analytic techniques. The cascade is formed by injecting pairs with the same initial separation (the stirring scale) at a constant rate. They move to smaller scales with constant current under the action of frictional forces, finally reaching the core size separation, where they annihilate and the energy is removed by a thermal bath. On switching off the injection, the pair distribution first decays starting from the initial stirring scale, with the total vortex density decreasing linearly in time at a rate equal to the initial injection rate. As pairs at smaller scales decay, the vortex density then falls off as a power law, the same power law found in recent exact solutions of quenched 2D superfluids.
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