Proactive cloud management for highly heterogeneous multi-cloud infrastructures

Various literature studies demonstrated that the cloud computing paradigm can help to improve availability and performance of applications subject to the problem of software anomalies. Indeed, the cloud resource provisioning model enables users to rapidly access new processing resources, even distributed over different geographical regions, that can be promptly used in the case of, e.g., crashes or hangs of running machines, as well as to balance the load in the case of overloaded machines. Nevertheless, managing a complex geographically-distributed cloud deploy could be a complex and time-consuming task. Autonomic Cloud Manager (ACM) Framework is an autonomic framework for supporting proactive management of applications deployed over multiple cloud regions. It uses machine learning models to predict failures of virtual machines and to proactively redirect the load to healthy machines/cloud regions. In this paper, we study different policies to perform efficient proactive load balancing across cloud regions in order to mitigate the effect of software anomalies. These policies use predictions about the mean time to failure of virtual machines. We consider the case of heterogeneous cloud regions, i.e regions with different amount of resources, and we provide an experimental assessment of these policies in the context of ACM Framework

Intrapreneurship; Conceptualizing entrepreneurial employee behaviour

This paper discusses the similarities and differences between intrapreneurship and independent entrepreneurship. Most but not all of the activities and behavioural aspects of the latter are also typical of the former phenomenon. Key differential elements of independent entrepreneurship are the investment of personal financial means and the related financial risk taking, a higher degree of autonomy, and legal and fiscal aspects of establishing a new independent business. Based on this discussion an integral conceptual model of intrapreneurial behaviour is presented. The paper closes with conclusions.

Relationships of proactive behaviour with job-related affective well-being and anticipated retirement age: an exploration among older employees in Belgium

Developed countries throughout the world are challenged with the ageing of their labour force. In these societal contexts, low employment rates and early labour market exits of older employees are at stake, as well as arrangements for retirement, financial household considerations and mutual obligations between generations. Although proactive behaviour has been extensively studied, no research has addressed the proactive behaviour of older employees themselves when facing (re)hiring and retention versus early retirement. For the first time, this study tests the relationships of proactive behaviour with job-related affective well-being and anticipated retirement age in a sample of employees aged 50+ (N = 89) in Belgium. The findings are obtained by using a self-report questionnaire. Statistical analysis includes correlation and regression analysis. Major findings are that (i) proactive older employees feel energetic, enthusiastic, inspired, at ease, relaxed and satisfied; and (ii) later retirement is anticipated when experiencing positive affective well-being at study

Safer clinical systems : interim report, August 2010

Safer Clinical Systems is the Health Foundation’s new five year programme of work to test and demonstrate ways to improve healthcare systems and processes, to develop safer systems that improve patient safety. It builds on learning from the Safer Patients Initiative (SPI) and models of system improvement from both healthcare and other industries. Learning from the SPI highlighted the need to take a clinical systems approach to improving safety. SPI highlighted that many hospitals struggle to implement improvement in clinical areas due to inherent problems with support mechanisms. Clinical processes and systems, rather than individuals, are often the contributors to breakdown in patient safety. The Safer Clinical Systems programme aimed to measure the reliability of clinical processes, identify defects within those processes, and identify the systems that result in those defects. Methods to improve system reliability were then to be tested and re-developed in order to reduce the risk of harm being caused to patients. Such system-level awareness should lead to improvements in other patient care pathways. The relationship between system reliability and actual harm is challenging to identify and measure. Specific, well-defined, small-scale processes have been used in other programmes, and system reliability has been shown to have a direct causal relationship with harm (e.g. care bundle compliance in an intensive care unit can reduce the incidence of ventilator-associated pneumonia). However, it has become evident that harm can be caused by a variety of factors over time; when working in broader, more complex and dynamic systems, change in outcome can be difficult to attribute to specific improvements and difficulties are also associated with relating evidence to resulting harm. The overall aim of Phase 1 of the Safer Clinical Systems programme was to demonstrate proof-of-concept that using a systems-based approach could contribute to improved patient safety. In Phase 1, experienced NHS teams from four locations worked together with expert advisers to co-design the Safer Clinical Systems programme

Linking Structural Capabilities and Workplace Climate in Community Health Centers.

Many strategies to improve health care quality focus on improving the structural capabilities of primary care practices, including quality infrastructure and registry use, which are critical to managing chronic diseases. However, improving structural capabilities requires practices to expend significant resources and can be especially disruptive to community health centers (CHCs) serving high proportions of socioeconomically vulnerable patients. We explore the relationship between the structural capabilities and workplace climate in CHCs. The final sample for this analysis includes 25 CHC sites that could be matched across CHC site director surveys of structural capabilities and CHC adult primary care clinicians and staff (n = 446). To estimate the association between structural capabilities and dimensions of workplace climate, we estimated multivariate linear regression models that included the climate scales as dependent variables and the 5 structural capability scales as the main independent variables, with the 3 clinic-level and 2 staff-level covariates. More manageable clinic workload was associated with lower electronic record functionality (β = -0.47, P = .007), but positively associated with quality infrastructure (β = 0.92, P = .007). Staff relationships and quality improvement orientation were positively associated with quality infrastructure (β = 1.09, P = .006 and β = 0.87, P = .005). Manager readiness was associated with more robust quality infrastructure (β = 1.35, P = .016), but lower electronic record functionality (β = -0.48, P = .015) and less proactive patient outreach (β = -1.32, P = .025). Complex relationships between structural capabilities and workplace climate were found in CHCs. Further clarification of these complex connections may enable policy makers and practitioners to design and implement nuanced strategies to improve quality of care in CHCs