57 resultados para Android,Multihoming,LISP,LISPmob,Performance,Test,Development,Analysis
Resumo:
This paper analyses update ordering and its impact on the performance of a distributed replication system. We propose a model for update orderings and constraints and develop a number of algorithms for implementing different ordering constraints. A performance study is then carried out to analyse the update-ordering model. We show that our model allows the definition of an ordering constraint on each update operation, and the ordering implementation takes account of detailed inter-operation semantics denoted by commutative operations and causal operations to reduce unnecessary delay and results in a better response time for update requests.
Resumo:
The effect of grain size on the warm deformation behaviour of a titanium stabilized interstitial free steel was investigated using hot torsion. Tests were performed at temperatures between 765 °C and 850 °C at strain rates between 0.003 s−1 and 1 s−1 for samples with grain sizes of 25 μm, 75 μm and 150 μm. The structures were observed using EBSD analysis and are consistent with those expected for materials dominated by dynamic recovery. Some evidence was found for small amounts of thermally induced migration of pre-existing boundary (bulging) and for the generation of new segments of high angle boundaries by continuous dynamic recrystallization. The early onset of a steady-state flow stress in the finer grained samples is attributed to one or a combination of thermally induced boundary migration and enhanced rates of recovery near subgrain (and grain) boundaries.
Resumo:
This paper finds that vast disparities exist in new technology commercialisation outputs between a small percentage of high performing universities, and the remaining bulk of under-performers. Theoretical explanations for these findings are as follows. First, high performing universities attract resources, both human and financial, with a much stronger pull than lower performing universities. Second, this study confronts a gap in the literature with regard to the prominence of entrepreneurship within the innovation and technology development process. Third, this study brings new light to bear on the reliability and validity of evaluative tools (variables) currently accepted as indicators of innovation in the university technology transfer context.
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This paper describes and analyzes the necessary misreadings of Giorgio Agamben’s account of ‘bare life’ in a recent performance in Melbourne, Australia. The ‘Bare Life’ project deals with Australia’s treatment of asylum seekers with reference to Agamben’s work on sovereign power and uses the on-line second life world as both a metaphor for the refugee’s desire for a new life, and a literal site of performance. The development showing explored the interactions between live performance and second life avatars in real time. This paper deals with the philosophical, ethical and practical problems that emerged during the development, and argues that the ‘misreading’ is an inevitable, but useful part of finding ways to embody philosophical and political ideas in performance.
Resumo:
The future of computing lies with distributed systems, i.e. a network of workstations controlled by a modern distributed operating system. By supporting load balancing and parallel execution, the overall performance of a distributed system can be improved dramatically. Process migration, the act of moving a running process from a highly loaded machine to a lightly loaded machine, could be used to support load balancing, parallel execution, reliability etc. This thesis identifies the problems past process migration facilities have had and determines the possible differing strategies that can be used to resolve these problems. The result of this analysis has led to a new design philosophy. This philosophy requires the design of a process migration facility and the design of an operating system to be conducted in parallel. Modern distributed operating systems follow the microkernel and client/server paradigms. Applying these design paradigms, in conjunction with the requirements of both process migration and a distributed operating system, results in a system where each resource is controlled by a separate server process. However, a process is a complex resource composed of simple resources such as data structures, an address space and communication state. For this reason, a process migration facility does not directly migrate the resources of a process. Instead, it requests the appropriate servers to transfer the resources. This novel solution yields a modular, high performance facility that is easy to create, debug and maintain. Furthermore, the design easily incorporates providing multiple migration strategies. In order to verify the validity of this design, a process migration facility was developed and tested within RHODOS (ResearcH Oriented Distributed Operating System). RHODOS is a modern microkernel and client/server based distributed operating system. In RHODOS, a process is composed of at least three separate resources: process state - maintained by a process manager, address space - maintained by a memory manager and communication state - maintained by an InterProcess Communication Manager (IPCM). The RHODOS multiple strategy migration manager utilises the services of the process, memory and IPC Managers to migrate the resources of a process. Performance testing of this facility indicates that this design is as fast or better than existing systems which use faster hardware. Furthermore, by studying the results of the performance test ing, the conditions under which a particular strategy should be employed have been identified. This thesis also addresses heterogeneous process migration. The current trend is to have islands of homogeneous workstations amid a sea of heterogeneity. From this situation and the current literature on the topic, heterogeneous process migration can be seen as too inefficient for general use. Instead, only homogeneous workstations should be used for process migration. This implies a need to locate homogeneous workstations. Entities called traders, which store and disseminate knowledge about the resources of several workstations, should be used to provide resource discovery. Resource discovery will enable the detection of homogeneous workstations to which processes can be migrated.
Resumo:
Public capital has been considered to be the wheels of a nation's or a region's economic activity. The reverse effects, the contributions of economic growth to public capital, are also worth analysing. Non-structural
approaches in econometrics were implemented for the Australian economy using yearly data for the period from 1960 to 2008. A co-integration test was carried out to investigate whether tbere are long-term equilibrium relationships between each pair among public capital, private output, private capital and labour. Tbe Ganger causality test was further
employed to determine whether public capital contains useful information to predict a private production variable and vice versa. The results will provide historical evidence for Australia's federal and regional governments to assist in estimating the effects among these production variables, in particular, the effect of infrastructure spending on gross
domestic product.
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This paper explores the performance effects of human resource management (HRM) practices in 74 Chinese small and medium-sized enterprises (SMEs). Four high performance HRM practices are identified: performance-based pay, participatory decision-making, free market selection, and performance evaluation. Regression analysis results support the conventional idea that the adoption of HRM practices generates better HRM outcomes and, in turn, better HRM outcomes contribute positively to firm performance. However, not all HRM practices, and their effects, led to improved SME performance. Among the Chinese SMEs investigated, a high level of employee commitment was identified as being the key HRM outcome for enhancing performance.
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The study investigates the effects of informal institutions and entrepreneurial orientation on the performance of microenterprises at the subnational level within a developing country context. Using structural equation modeling based on a large-scale survey of 735 microenterprises in the Philippines, it is found that informal institutional factors and entrepreneurial orientation are associated with firm performance. However, further analysis reveals a strong mediating role of entrepreneurial orientation on the informal institutions-firm performance relationships. This finding is novel and adds to our understanding of the mechanism through which informal institutions affect firm performance, particularly for microenterprises in developing countries.
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Career development is crucial to the success of individuals, organizations and industries. As such, in many professions there are prescribed career development processes underpinned by legal and institutional policies that drive managerial practice. Although there has been sustained interest in understanding career development for athletes and building managerial strategies to assist in the process, there is little empirical knowledge about career development of coaches, and how management may assist in the process. The aim of this study is to explore the way in which sport policy discourse and agendas have impacted coach career development. This study demonstrates that coaches’ careers are not part of the policy discourse despite their important role in athlete performance, career development and sport organization development and success. Coaches are the key performance managers in sport and yet they are ignored by sport policy makers and managers when considering the development of the Australian sport workforce.
Resumo:
Exploratory factor analysis (hereafter, factor analysis) is a complex statistical method that is integral to many fields of research. Using factor analysis requires researchers to make several decisions, each of which affects the solutions generated. In this paper, we focus on five major decisions that are made in conducting factor analysis: (i) establishing how large the sample needs to be, (ii) choosing between factor analysis and principal components analysis, (iii) determining the number of factors to retain, (iv) selecting a method of data extraction, and (v) deciding upon the methods of factor rotation. The purpose of this paper is threefold: (i) to review the literature with respect to these five decisions, (ii) to assess current practices in nursing research, and (iii) to offer recommendations for future use. The literature reviews illustrate that factor analysis remains a dynamic field of study, with recent research having practical implications for those who use this statistical method. The assessment was conducted on 54 factor analysis (and principal components analysis) solutions presented in the results sections of 28 papers published in the 2012 volumes of the 10 highest ranked nursing journals, based on their 5-year impact factors. The main findings from the assessment were that researchers commonly used (a) participants-to-items ratios for determining sample sizes (used for 43% of solutions), (b) principal components analysis (61%) rather than factor analysis (39%), (c) the eigenvalues greater than one rule and screen tests to decide upon the numbers of factors/components to retain (61% and 46%, respectively), (d) principal components analysis and unweighted least squares as methods of data extraction (61% and 19%, respectively), and (e) the Varimax method of rotation (44%). In general, well-established, but out-dated, heuristics and practices informed decision making with respect to the performance of factor analysis in nursing studies. Based on the findings from factor analysis research, it seems likely that the use of such methods may have had a material, adverse effect on the solutions generated. We offer recommendations for future practice with respect to each of the five decisions discussed in this paper.
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Recently, 'intercultural' theatre has taken aspects of performance genres from different cultures and has blended them into a new hybrid form. This thesis engages with this issue through performance practice, textual analysis and theoretical critique, and aims to explore the possibilities and boundaries of a practical non-neo-colonial 'intercultural' theatre.
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In an effort to engage children in mathematics learning, many primary teachers use mathematical games and activities. Games have been employed for drill and practice, warm-up activities and rewards. The effectiveness of games as a pedagogical tool requires further examination if games are to be employed for the teaching of mathematical concepts. This paper reports research that compared the effectiveness of non-digital games with non-game but engaging activities as pedagogical tools for promoting mathematical learning. In the classrooms that played games, the effects of adding teacher-led whole class discussion was explored. The research was conducted with 10–12-year-old children in eight classrooms in three Australian primary schools, using differing instructional approaches to teach multiplication and division of decimals. A quasi-experimental design with pre-test, post-test and delayed post-test was employed, and the effects of the interventions were measured by the children’s written test performance. Test results indicated lesser gains in learning in game playing situations versus non-game activities and that teacher-led discussions during and following the game playing did not improve children’s learning. The finding that these games did not help children demonstrate a mathematical understanding of concepts under test conditions suggests that educators should carefully consider the application and appropriateness of games before employing them as a vehicle for introducing mathematical concepts.
Resumo:
Traffic classification technique is an essential tool for network and system security in the complex environments such as cloud computing based environment. The state-of-the-art traffic classification methods aim to take the advantages of flow statistical features and machine learning techniques, however the classification performance is severely affected by limited supervised information and unknown applications. To achieve effective network traffic classification, we propose a new method to tackle the problem of unknown applications in the crucial situation of a small supervised training set. The proposed method possesses the superior capability of detecting unknown flows generated by unknown applications and utilizing the correlation information among real-world network traffic to boost the classification performance. A theoretical analysis is provided to confirm performance benefit of the proposed method. Moreover, the comprehensive performance evaluation conducted on two real-world network traffic datasets shows that the proposed scheme outperforms the existing methods in the critical network environment.