Toward self discovery for an autonomic cluster

Nondedicated clusters are currently at the forefront of the development of high performance computing systems. These clusters are relatively intolerant of hardware failures and cannot manage dynamic cluster membership efficiently. This report presents the logical design of an innovative self discovery service that provides for automated cluster management and resource discovery. The proposed service has an ability to share or recover unused computing resources, and to adapt to transient conditions autonomically, as well as the capability of providing dynamically scalable virtual computers on demand.

The design and implementation of an active replication scheme for distributing services in a cluster of workstations

Replication is the key to providing high availability, fault tolerance, and enhanced performance in a cluster of workstations (COWs). However, building such a system remains as a difficult and challenging task, mainly due to the difficulty of maintaining data consistency among replicas and the lack of easy and efficient tools supporting the development procedure. In this paper we propose an active replication scheme in which data consistency can be maintained. Based on the active replication scheme, we present an object-oriented design pattern and a constructing tool to simplify the design and implementation of service replications in COWs.

Brokering knowledge : managing knowledge in a network of government and non-government human service delivery agencies

This paper examines aspects of knowledge management that are particularly important in the network of human service delivery agencies in Victoria. This network is characterised by four features: it is a cluster of networked organisations; professionals and others may act as knowledge brokers within and between organisations in the network; rapid change in both knowledge and organisation accentuates the importance of innovative knowledge and emergent organisation over and above routine instrumental knowledge within stable organisation; and consequently there is an underlying concern with dialogical rather than instrumental knowledge and its management, and particularly how it constitutes and is constituted by organisation. The paper describes the analytical tools that we consider particularly important in examining this situation – in particular, the distinction between instrumental and dialogical knowledge, and the role of knowledge brokers (and professionals as knowledge brokers). It concludes by relating this analysis to broader issues in organisation studies, and suggests paths for further examination of these issues.

Measuring the performance of a regional cluster in innovation facilitation

Regional industry clusters have been promoted for several years as effective mechanisms to assist firms become more innovative and more competitive. But do they really achieve this goal, and more importantly, just how should an assessment of cluster performance in supporting and facilitating innovation within its members, be undertaken? In this paper we report on a study of a regional IT cluster in Western Sydney, Australia, develop some criteria for assessing the innovation facilitation performance of industry clusters, and discuss the cluster in relation to these criteria. We suggest that engagement with a cluster may enhance the innovation capacity of a firm, and the type of required innovation support varies significantly with the maturity and absorptive capacity of individual firms.

Building an effective school-university partnership : a cluster approach

Deakin University has introduced a new Master of Teaching course incorporating a new form school-university partnership that we refer to as the ‘cluster approach’. In addition to responding to recent state and National reports on teacher education (e.g. House of Representatives Standing Committee on Education and Vocational Training, 2007; Kruger et al., 2009; Parliament of Victoria Education and Training Committee, 2005), this cluster approach aims to respond directly to recommendations from the Australian Teaching and Learning Council funded project into practicum partnerships (Ure, 2009), and focuses specifically on one of the reform agendas of the National Partnership Agreement on Improving Teacher Quality, that of ‘improving the quality and consistency of teacher training in partnership with universities’ (see http://smarterschools.gov.au/nationalpartnerships/Pages/ImprovingTeacherQuality.aspx)
Learning to teach is a continuum whereby teachers create new understandings and build professional knowledge and practice in collaboration with colleagues during their pre-service teacher education and then during their careers as teachers (Fieman-Nemser 2001). Learning to teach is not a sole learning activity; rather teachers learn in communities and in collaboration with colleagues. Moreover, teachers are always balancing ‘being the teacher’ while at the same time ‘becoming a teacher’ (e.g. Britzman, 2003). Thus, they balance the notion of ‘doing teaching’ while at the same time ‘learning teaching’, and this is nowhere more evident than during the professional experience component of teacher education. This cluster approach is based on these premises.
The work of Le Cornu (2004), Le Cornu and Ewing (2008) and Little (2001) also informed aspects of the approach, which is predicated on ‘reciprocal relationships’ amongst pre-service teachers, and between pre-service teachers and experienced teachers both in schools and in universities. It frames teachers as cultural producers of knowledge, pre-service teachers as new resources bringing different ideas and practices into schools and schools as knowledge building communities (Little 2001, Nias 1998, Retallick et al 1999, Veugelers & O’Hair 2005).

Building the capacity of family day care educators to promote children’s social and emotional wellbeing: Results of an exploratory cluster randomised-controlled trial

© 2015 Early Childhood Australia Inc. All rights reserved. THIS PAPER PRESENTS THE results of an exploratory cluster randomised-controlled trial that was used to pilot Thrive, a capacity-building program for family day care (FDC) educators. Participants were educators and coordinators from one FDC service in Melbourne, Australia. Data collection consisted of a survey including information on costs, an in-home quality of care observation and process evaluation. Data was collected over 12 months (2011–2012), at baseline and one, six and 12 months post-intervention. Positive caregiver interaction scores increased over time for the intervention group: F (3, 51.69) = 3.08, p < 0.05, and detached interaction scores decreased over time: F (3, 51.19) = 2.78, p < 0.05. Educators’ knowledge and confidence in children’s social and emotional wellbeing showed no significant change. Thrive gives important information about the challenges FDC educators face and is relevant to implementing changes in their education and support. For a program like Thrive to be successful in engaging educators, a stronger framework for supporting additional learning activities at both the FDC organisational and scheme level is warranted.

Knowledge Flows and Networks: the Interplay between Local and Global Linkages within Bangalore IT Cluster

This doctoral work gains deeper insight into the dynamics of knowledge flows within and across clusters, unfolding their features, directions and strategic implications. Alliances, networks and personnel mobility are acknowledged as the three main channels of inter-firm knowledge flows, thus offering three heterogeneous measures to analyze the phenomenon. The interplay between the three channels and the richness of available research methods, has allowed for the elaboration of three different papers and perspectives. The common empirical setting is the IT cluster in Bangalore, for its distinguished features as a high-tech cluster and for its steady yearly two-digit growth around the service-based business model. The first paper deploys both a firm-level and a tie-level analysis, exploring the cases of 4 domestic companies and of 2 MNCs active the cluster, according to a cluster-based perspective. The distinction between business-domain knowledge and technical knowledge emerges from the qualitative evidence, further confirmed by quantitative analyses at tie-level. At firm-level, the specialization degree seems to be influencing the kind of knowledge shared, while at tie-level both the frequency of interaction and the governance mode prove to determine differences in the distribution of knowledge flows. The second paper zooms out and considers the inter-firm networks; particularly focusing on the role of cluster boundary, internal and external networks are analyzed, in their size, long-term orientation and exploration degree. The research method is purely qualitative and allows for the observation of the evolving strategic role of internal network: from exploitation-based to exploration-based. Moreover, a causal pattern is emphasized, linking the evolution and features of the external network to the evolution and features of internal network. The final paper addresses the softer and more micro-level side of knowledge flows: personnel mobility. A social capital perspective is here developed, which considers both employees’ acquisition and employees’ loss as building inter-firm ties, thus enhancing company’s overall social capital. Negative binomial regression analyses at dyad-level test the significant impact of cluster affiliation (cluster firms vs non-cluster firms), industry affiliation (IT firms vs non-IT fims) and foreign affiliation (MNCs vs domestic firms) in shaping the uneven distribution of personnel mobility, and thus of knowledge flows, among companies.

Innovation and economic performance of the firms in the service sector: relevant issues and open problems

This thesis is a collection of essays related to the topic of innovation in the service sector. The choice of this structure is functional to the purpose of single out some of the relevant issues and try to tackle them, revising first the state of the literature and then proposing a way forward. Three relevant issues has been therefore selected: (i) the definition of innovation in the service sector and the connected question of measurement of innovation; (ii) the issue of productivity in services; (iii) the classification of innovative firms in the service sector. Facing the first issue, chapter II shows how the initial width of the original Schumpeterian definition of innovation has been narrowed and then passed to the service sector form the manufacturing one in a reduce technological form. Chapter III tackle the issue of productivity in services, discussing the difficulties for measuring productivity in a context where the output is often immaterial. We reconstruct the dispute on the Baumol’s cost disease argument and propose two different ways to go forward in the research on productivity in services: redefining the output along the line of a characteristic approach; and redefining the inputs, particularly analysing which kind of input it’s worth saving. Chapter IV derives an integrated taxonomy of innovative service and manufacturing firms, using data coming from the 2008 CIS survey for Italy. This taxonomy is based on the enlarged definition of “innovative firm” deriving from the Schumpeterian definition of innovation and classify firms using a cluster analysis techniques. The result is the emergence of a four cluster solution, where firms are differentiated by the breadth of the innovation activities in which they are involved. Chapter 5 reports some of the main conclusions of each singular previous chapter and the points worth of further research in the future.

Managing server energy and reducing operational cost for online service providers

The past decade has seen the energy consumption in servers and Internet Data Centers (IDCs) skyrocket. A recent survey estimated that the worldwide spending on servers and cooling have risen to above $30 billion and is likely to exceed spending on the new server hardware . The rapid rise in energy consumption has posted a serious threat to both energy resources and the environment, which makes green computing not only worthwhile but also necessary. This dissertation intends to tackle the challenges of both reducing the energy consumption of server systems and by reducing the cost for Online Service Providers (OSPs). Two distinct subsystems account for most of IDC’s power: the server system, which accounts for 56% of the total power consumption of an IDC, and the cooling and humidifcation systems, which accounts for about 30% of the total power consumption. The server system dominates the energy consumption of an IDC, and its power draw can vary drastically with data center utilization. In this dissertation, we propose three models to achieve energy effciency in web server clusters: an energy proportional model, an optimal server allocation and frequency adjustment strategy, and a constrained Markov model. The proposed models have combined Dynamic Voltage/Frequency Scaling (DV/FS) and Vary-On, Vary-off (VOVF) mechanisms that work together for more energy savings. Meanwhile, corresponding strategies are proposed to deal with the transition overheads. We further extend server energy management to the IDC’s costs management, helping the OSPs to conserve, manage their own electricity cost, and lower the carbon emissions. We have developed an optimal energy-aware load dispatching strategy that periodically maps more requests to the locations with lower electricity prices. A carbon emission limit is placed, and the volatility of the carbon offset market is also considered. Two energy effcient strategies are applied to the server system and the cooling system respectively. With the rapid development of cloud services, we also carry out research to reduce the server energy in cloud computing environments. In this work, we propose a new live virtual machine (VM) placement scheme that can effectively map VMs to Physical Machines (PMs) with substantial energy savings in a heterogeneous server cluster. A VM/PM mapping probability matrix is constructed, in which each VM request is assigned with a probability running on PMs. The VM/PM mapping probability matrix takes into account resource limitations, VM operation overheads, server reliability as well as energy effciency. The evolution of Internet Data Centers and the increasing demands of web services raise great challenges to improve the energy effciency of IDCs. We also express several potential areas for future research in each chapter.

Quality Management and Formalization in Social Service Organizations - A Survey on Home-Based Family Intervention Services

Although the effects of quality management on social work are still widely unexplored, critics suspect that it will lead to a negative standardization of working conditions, whereas supporters of quality management hope for a greater transparency and effectiveness of service delivery. This article reports on a survey of 30 managers, 261 professionals, and 435 families in 30 family intervention service organizations. It uses cluster analysis to explore the relationship between quality management and different forms of work formalization. Results showed that working conditions generally are enabling for professional practice, but differences exist between what is called here a managerialist machine bureaucracy, an atomistic professional organization, and a collegiate professional organization.

Theory of a Flowchart Approach to Industrial Cluster Policy

A flowchart approach to industrial cluster policy emphasizes the importance ofthe ordering of policy measures. The flow of policy implementation is to establish an industrial zone, to invite an anchor company, and to promote its related companies to invest in the industrial zone. This article delineated "a flowchart approach to industrial cluster policy" by proposing sufficient conditions for forming industrial clusters typical in the manufacturing industry in Asia to enhance regional economic growth. The typical industrial cluster policy was theorized by defining an industrial zone as "quasi-public goods", and it was shown that the policy enhances economic growth under a production function of "increasing returns to scale" of an anchor company. Critical amounts of the production of "scale economies" that are used by the related companies to decide whether or not to invest in clusters were also shown.

Factors Underlying the Formation of Industrial Clusters in Japan and Industrial Cluster Policy: A Quantitative Survey

The purpose of this report is to use information provided by a questionnaire survey to analyze the factors and processes underlying the formation of industrial clusters in Japan. The study, based on questionnaire surveys, forms part of an "Industrial Cluster Project". The Japanese government has implemented policies for industrial clusters so as to enable Japanese industries to maintain competitive power in global markets, and to aid the self-sufficient expansion of local industries. The government's project goes under the heading "Industry Agglomeration for the Recovery of Local Industries with respect to so-called "Industry Clusters." The authors aim to identify what expectations are held of government by the enterprises that make up industrial clusters. As part of our investigation, we used the results of a survey conducted by UNDP in 2004. Tsuji's study, published by the Osaka School of International Public Policy, surveyed 1198 small or medium sized manufacturing companies located in O ward, Tokyo and Higashi Osaka city, Osaka prefecture. The outcome of the present study, together with data from Tsuji's work on IT usage by SMEs in Japan, is meant to form the basis for policy design and implementation.

Foodservice cluster /

"Printed by the Authority of the State of Illinois, July 1997, 1.5M 022-41 No. 705".

A pragmatic 2 × 2 × 2 factorial cluster randomized controlled trial of educational outreach visiting and case conferencing in palliative care—methodology of the Palliative Care Trial [ISRCTN 81117481]

The demand for palliative care is increasing, yet there are few data on the best models of care nor well-validated interventions that translate current evidence into clinical practice. Supporting multidisciplinary patient-centered palliative care while successfully conducting a large clinical trial is a challenge. The Palliative Care Trial (PCT) is a pragmatic 2 x 2 x 2 factorial cluster randomized controlled trial that tests the ability of educational outreach visiting and case conferencing to improve patient-based outcomes such as performance status and pain intensity. Four hundred sixty-one consenting patients and their general practitioners (GPs) were randomized to the following: (1) GP educational outreach visiting versus usual care, (2) Structured patient and caregiver educational outreach visiting versus usual care and (3) A coordinated palliative care model of case conferencing versus the standard model of palliative care in Adelaide, South Australia (3:1 randomization). Main outcome measures included patient functional status over time, pain intensity, and resource utilization. Participants were followed longitudinally until death or November 30, 2004. The interventions are aimed at translating current evidence into clinical practice and there was particular attention in the trial's design to addressing common pitfalls for clinical studies in palliative care. Given the need for evidence about optimal interventions and service delivery models that improve the care of people with life-limiting illness, the results of this rigorous, high quality clinical trial will inform practice. Initial results are expected in mid 2005. (c) 2005 Elsevier Inc. All rights reserved.

Community and cluster centre residential services for adults with intellectual disability: long-term results from an Australian-matched sample

Changes in residential accommodation models for adults with intellectual disability (ID) over the last 20 years in Australia, the United Kingdom and the United States have involved relocation from institutions primarily into dispersed homes in the community. But an evolving alternative service style is the cluster centre. This paper reports on the relocation of a matched group of 30 pairs of adults with moderate and severe IDs and challenging behaviour who were relocated from an institution into either dispersed housing in the community or cluster centres but under the same residential service philosophy. Adaptive and maladaptive behaviour, choice-making and objective life quality were assessed prior to leaving the institution and then after 12 and 24 months of living in the new residential model. Adaptive behaviour, choice-making and life quality increased for both groups and there was no change in level of maladaptive behaviour compared with levels exhibited in the institution. However, there were some significant differences between the community and cluster centre group as the community group increased some adaptive skills, choice-making and objective life quality to a greater extent than the cluster centre group. Both cluster centre and dispersed community living offer lifestyle and skill development advantages compared with opportunities available in large residential institutions. Dispersed community houses, however, offer increased opportunities for choice-making, acquisition of adaptive behaviours and improved life quality for long-term institutionalized adults with IDs.