A technology to expose a cluster as a service in a cloud

Clouds refer to computational resources (in particular, clusters) that are accessible as scalable, on demand, pay-as- you-go services provided in the Internet. However, clouds are in their infancy and lack a high level abstraction. Specifically, there is no effective discovery and selection service for clusters and offer little to no ease of use for clients. Here we show a technology that exposes clusters as Web services in the form of a Cluster as a Service for publishing via WSDL, discovering, selecting and using clusters.

Enhancing cloud computing environments using a cluster as a service

The emergence of cloud computing has caused a significant change in how IT infrastructures are provided to research and business organizations. Instead of paying for expensive hardware and incur excessive maintenance costs, it is now possible to rent the IT infrastructure of other organizations for a minimal fee. While the existence of cloud computing is new. The elements used to create clouds have been around for some time. Cloud computing systems have been made possible through the use of large-scale clusters, service-oriented architecture (SOA), Web services, and virtualization. While the idea of offering resources via Web services is commonplace in cloud computing, little attention has been paid to the clients themselves specifically, human operators. Despite that clouds host a variety of resources which in turn are accessible to a variety of clients, support for human users is minimal.

Offering clusters from clouds using WSDL and stateful web services

This paper presents cloud’s higher layer abstraction and support for users in the form of Cluster as a Service.

Toward ease of discovery, selection and use of clusters within a cloud

While the emergence of clouds had lead to a significant paradigm shift in business and research, cloud computing is still in its infancy. Specifically, there is no effective publication and discovery service nor are cloud services easy to use. This paper presents a new technology for offering ease of discovery, selection and use of clusters hosted within clouds. By improving these services, cloud clusters become easily accessible to all clients, software services to noncomputing human user.

Toward higher level abstractions for cloud computing

The general idea of cloud computing is offering computational resources as scalable, on demand services accessible over the internet. However, this new realisation of on demand computing is hindered by the amount of user involvement. Currently, high level abstractions in cloud computing only exist in the form of services. In particular, there is no effective means to publish, discover and finally use required services in clouds. In response, we propose a user level abstraction on top of already available cloud abstraction layers, present its concept using the resources via web services (RVWS) framework and demonstrate its feasibility by simplifying the exposure and use of clusters, a commonly used resource in cloud computing.

Does interpersonal psychotherapy improve clinical care for adolescents with depression attending a rural child and adolescent mental health service? Study protocol for a cluster randomised feasibility trial

Background: Depression amongst adolescents is a costly societal problem. Little research documents the effectiveness of public mental health services in mapping this problem. Further, it is not clear whether usual care in such services can be improved via clinician training in a relevant evidence based intervention. One such intervention, found to be effective and easily learned amongst novice clinicians, is Interpersonal Psychotherapy (IPT). The study described in the current paper has two main objectives. First, it aims to investigate the impact on clinical care of implementing Interpersonal Psychotherapy for Adolescents for the treatment of adolescent depression within a rural mental health service compared with Treatment as Usual (TAU). The second objective is to record the process and challenges (i.e. feasibility, acceptability, sustainability) associated with implementing and evaluating an evidence-based intervention within a community service. This paper outlines the study rationale and design for this community based research trial.

Methods/design: The study involves a cluster randomisation trial to be conducted within a Child and Adolescent Mental Health Service in rural Australia. All clinicians in the service will be invited to participate.  Participating clinicians will be randomised via block design at each of four sites to (a) training and delivery of IPT, or (b) TAU. The primary measure of impact on care will be a clinically significant change in depressive  symptomatology, with secondary outcomes involving treatment satisfaction and changes in other symptomatology. Participating adolescents with significant depressive symptomatology, aged 12 to 18 years, will complete assessment measures at Weeks 0, 12 and 24 of treatment. They will also complete a depression inventory once a month during that period. This study aims to recruit 60 adolescent participants and their parent/guardian/s. A power analysis is not indicated as an intra-class correlation coefficient will be calculated and used to inform sample size calculations for subsequent large-scale trials. Qualitative data regarding process implementation will be collected quarterly from focus groups with participating clinicians over 18 months, plus phone interviews with participating adolescents and parent/guardians at 12 weeks and 24 weeks of treatment. The focus group qualitative data will be analysed using a Fourth Generation Evaluation methodology that includes a constant comparative cyclic analysis method.

Discussion: This study protocol will be informative for researchers and clinicians interested in considering, designing and/or conducting cluster randomised trials within community practice such as mental health services.

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.

Patient participation in postoperative care activities in patients undergoing total knee replacement surgery: multimedia intervention for managing patient experience (MIME). Study protocol for a cluster randomised crossover trial

BACKGROUND: Patient participation is an important indicator of quality care. Currently, there is little evidence to support the belief that participation in care is possible for patients during the acute postoperative period. Previous work indicates that there is very little opportunity for patients to participate in care in the acute context. Patients require both capability, in terms of having the required knowledge and understanding of how they can be involved in their care, and the opportunity, facilitated by clinicians, to engage in their acute postoperative care. This cluster randomised crossover trial aims to test whether a multimedia intervention improves patient participation in the acute postoperative context, as determined by pain intensity and recovery outcomes.

METHODS/DESIGN: A total of 240 patients admitted for primary total knee replacement surgery will be invited to participate in a cluster randomised, crossover trial and concurrent process evaluation in at least two wards at a major non-profit private hospital in Melbourne, Australia. Patients admitted to the intervention ward will receive the multimedia intervention daily from Day 1 to Day 5 (or day of discharge, if prior). The intervention will be delivered by nurses via an iPad™, comprising information on the goals of care for each day following surgery. Patients admitted to the control ward will receive usual care as determined by care pathways currently in use across the organization. The primary endpoint is the "worst pain experienced in the past 24 h" on Day 3 following TKR surgery. Pain intensity will be measured using the numerical rating scale. Secondary outcomes are interference of pain on activities of daily living, length of stay in hospital, function and pain following TKR surgery, overall satisfaction with hospitalisation, postoperative complications and hospital readmission.

DISCUSSION: The results of this study will contribute to our understanding of the effectiveness of interventions that provide knowledge and opportunity for patient participation during postoperative in-hospital care in actually increasing participation, and the impact of participation on patient outcomes. The results of this study will also provide data about the barriers and enablers to participation in the acute care context.

Improving access for community health and sub-acute outpatient services: protocol for a stepped wedge cluster randomised controlled trial

BACKGROUND: Waiting lists for treatment are common in outpatient and community services, Existing methods for managing access and triage to these services can lead to inequities in service delivery, inefficiencies and divert resources from frontline care. Evidence from two controlled studies indicates that an alternative to the traditional "waitlist and triage" model known as STAT (Specific Timely Appointments for Triage) may be successful in reducing waiting times without adversely affecting other aspects of patient care. This trial aims to test whether the model is cost effective in reducing waiting time across multiple services, and to measure the impact on service provision, health-related quality of life and patient satisfaction.

METHODS/DESIGN: A stepped wedge cluster randomised controlled trial has been designed to evaluate the impact of the STAT model in 8 community health and outpatient services. The primary outcome will be waiting time from referral to first appointment. Secondary outcomes will be nature and quantity of service received (collected from all patients attending the service during the study period and health-related quality of life (AQOL-8D), patient satisfaction, health care utilisation and cost data (collected from a subgroup of patients at initial assessment and after 12 weeks). Data will be analysed with a multiple multi-level random-effects regression model that allows for cluster effects. An economic evaluation will be undertaken alongside the clinical trial.

DISCUSSION: This paper outlines the study protocol for a fully powered prospective stepped wedge cluster randomised controlled trial (SWCRCT) to establish whether the STAT model of access and triage can reduce waiting times applied across multiple settings, without increasing health service costs or adversely impacting on other aspects of patient care. If successful, it will provide evidence for the effectiveness of a practical model of access that can substantially reduce waiting time for outpatient and community services with subsequent benefits for both efficiency of health systems and patient care.