Self-optimising data farming for web applications

Many Web applications walk the thin line between the need for dynamic data and the need to meet user performance expectations. In environments where funds are not available to constantly upgrade hardware inline with user demand, alternative approaches need to be considered. This paper introduces a ‘Data farming’ model whereby dynamic data, which is ‘grown’ in operational applications, is ‘harvested’ and ‘packaged’ for various consumer markets. Like any well managed agricultural operation, crops are harvested according to historical and perceived demand as inferred by a self-optimising process. This approach aims to make enhanced use of available resources through better utlilisation of system downtime - thereby improving application performance and increasing the availability of key business data.

What a performance! Developing nurse teachers lecturing persona and identity: a performing arts perspective

Delivering lectures to large groups of students can provoke high levels of anxiety, particularly for new lecturers (Exley and Dennick, 2009). Further, to provide an informative and engaging lecture requires a teacher who is confident, has a sound knowledge and well developed teaching skills (Bentley-Davies, 2010). Thus, new lecturers often need experience and supervision to develop the tacit knowledge and insight into their own style and persona when teaching in order to feel confident when delivering a lecture (Quinn and Hughes, 2007). Considering this model, therefore, may potentially contribute to a lecturers’ development and performance in the classroom. This paper will present the results of the second phase of a two-stage mixed method study that investigated the similarities between lecturing and acting. Twelve in-depth interviews where undertaken with lecturers within one School of Nursing in The United Kingdom. Findings, established a model of ‘persona adoption’ that represents a series of stages that lecturers may go through to both develop and take on a persona when lecturing. This persona is often different from the way they lecturers present themselves in other parts of their working life. The first stage of this model of persona adoption is when the lecturer is subjected to a range of ‘influencing factors’ that provide not only the basic information about a lecture, but also the perceptual stimuli about giving a lecture on a specific subject, to a particular number of students, at a certain academic level. These influencing factors then inter-play with the ‘facets of the individual’, which represent the lecturer’s self-concept, subject knowledge base and philosophy of teaching. This may result in a cognitive dissonance between these ‘facets’ and the ‘influencing factors’, so affecting the lecturers’ perceptions, thoughts and feelings about having to give that particular lecture. This results in the lecturer undertaking specific ‘back stage preparation’ during which they decide on the content and modes of delivery to prepare in light of that discourse. It may result in delivering the information via single or multiple methods, which during the lecture will require various levels of interaction and participation from the students. Just prior to the lecture, the lecturer builds or ‘puts on their persona’ and gets into role, making their initial impact with the group. They use the ‘elements of acting’ as proposed by Tauber and Mester’s (1994) e.g. animated voice and body, space, props humour and suspense and surprise to portray and maintain their persona. This leads the to lecturer demonstrating either positive or negative ‘persona characteristics’ in terms of appearing confident, knowledgeable, fluent in the technical skills of delivering the lecture, being interesting and engendering interaction with the students, or not. These characteristics, may or may not, potentially heighten student interest, attention and attitudes to learning as suggested by Tauber and Mester (1994). This depends on whether the lecturer has successfully used the persona and if the lecturer has been able to engage students in the lecture, in competition with other factors that may be taking the students’ attention. Although the model suggests a linear process, to a great extent, the elements might be more interdependent and interrelated. This might suggest that depending on the lecturer’s perception of their effectiveness during the lecture, that they may decide to continue or adapt their persona and methods to appear more confident. Furthermore, depending on how successful the lecturer perceived the session to be, both their reflections ‘in’ and ‘on’ practice could influence how they teach in the future (Zwozdiak, 2011). Therefore, these reflections become part of the facets of the individual, via the ‘reflective feedback loop’, in the model, which then in turn influences progression through the model in subsequent lectures. This study concluded that these lecturers went through a process whereby they compare the demands of the lecture with their own knowledge base and skill, this resulted in them undertaking specific preparation in terms of content and delivery style, then they adopted their persona immediately prior to entering the lecture, maintain it throughout the lecture via the use of the elements of acting to achieve an informative interactive lecture. The results of which then feedback into their self-concept as a lecturer and consequently may affect the persona they project in future lectures. If lecturers, therefore, can take a step back to consider how they deliver lectures and the way they can deliberately, yet apparently naturally, use their voices, bodies, space and humour in meaningfully, they engage their students in lecture, it will not just result in them being perceived as a good lecturer, but also be a genuine act of education.

Natural inspiration for self-adaptive systems

The emergent behaviour of autonomic systems, together with the scale of their deployment, impedes prediction of the full range of configuration and failure scenarios; thus it is not possible to devise management and recovery strategies to cover all possible outcomes. One solution to this problem is to embed self-managing and self-healing abilities into such applications. Traditional design approaches favour determinism, even when unnecessary. This can lead to conflicts between the non-functional requirements. Natural systems such as ant colonies have evolved cooperative, finely tuned emergent behaviours which allow the colonies to function at very large scale and to be very robust, although non-deterministic. Simple pheromone-exchange communication systems are highly efficient and are a major contribution to their success. This paper proposes that we look to natural systems for inspiration when designing architecture and communications strategies, and presents an election algorithm which encapsulates non-deterministic behaviour to achieve high scalability, robustness and stability.

Flexible self-adjustment of task deployment in dynamic environments

This paper presents an investigation into dynamic self-adjustment of task deployment and other aspects of self-management, through the embedding of multiple policies. Non-dedicated loosely-coupled computing environments, such as clusters and grids are increasingly popular platforms for parallel processing. These abundant systems are highly dynamic environments in which many sources of variability affect the run-time efficiency of tasks. The dynamism is exacerbated by the incorporation of mobile devices and wireless communication. This paper proposes an adaptive strategy for the flexible run-time deployment of tasks; to continuously maintain efficiency despite the environmental variability. The strategy centres on policy-based scheduling which is informed by contextual and environmental inputs such as variance in the round-trip communication time between a client and its workers and the effective processing performance of each worker. A self-management framework has been implemented for evaluation purposes. The framework integrates several policy-controlled, adaptive services with the application code, enabling the run-time behaviour to be adapted to contextual and environmental conditions. Using this framework, an exemplar self-managing parallel application is implemented and used to investigate the extent of the benefits of the strategy

Policy-based techniques for self-managing parallel applications

This paper presents an empirical investigation of policy-based self-management techniques for parallel applications executing in loosely-coupled environments. The dynamic and heterogeneous nature of these environments is discussed and the special considerations for parallel applications are identified. An adaptive strategy for the run-time deployment of tasks of parallel applications is presented. The strategy is based on embedding numerous policies which are informed by contextual and environmental inputs. The policies govern various aspects of behaviour, enhancing flexibility so that the goals of efficiency and performance are achieved despite high levels of environmental variability. A prototype self-managing parallel application is used as a vehicle to explore the feasibility and benefits of the strategy. In particular, several aspects of stability are investigated. The implementation and behaviour of three policies are discussed and sample results examined.