Consciousness and choking in visually-guided actions

Choking under pressure describes the phenomenon of people performing well below their expected standard under circumstances where optimal performance is crucial. One of the prevailing explanations for choking is that pressure increases the conscious attention to the underlying processes of the performer's task execution, thereby disrupting what would normally be a relatively automatic process. However, research on choking has focused mainly on the influence of pressure on motor performance, typically overlooking how it might alter the way that vision is controlled when performing these motor actions. In this article we ask whether the visual component of expert motor-skill execution is susceptible to choking much like the motor component is thought to be. To do so, we draw heavily on empirical findings from studies of sporting expertise, in particular focussing on the role of gaze in three types of visually-guided actions: interceptive actions, aiming tasks, and anticipatory skill. For each of these skills we evaluate the nature of the expert advantage, discuss the role of consciousness in their control, examine the potential impact of pressure on task performance, and consider interventions designed to reduce the likelihood of choking when performing these tasks

Dynamic Optimization of SLA-Based Services Scaling Rules

Current advanced cloud infrastructure management solutions allow scheduling actions for dynamically changing the number of running virtual machines (VMs). This approach, however, does not guarantee that the scheduled number of VMs will properly handle the actual user generated workload, especially if the user utilization patterns will change. We propose using a dynamically generated scaling model for the VMs containing the services of the distributed applications, which is able to react to the variations in the number of application users. We answer the following question: How to dynamically decide how many services of each type are needed in order to handle a larger workload within the same time constraints? We describe a mechanism for dynamically composing the SLAs for controlling the scaling of distributed services by combining data analysis mechanisms with application benchmarking using multiple VM configurations. Based on processing of multiple application benchmarks generated data sets we discover a set of service monitoring metrics able to predict critical Service Level Agreement (SLA) parameters. By combining this set of predictor metrics with a heuristic for selecting the appropriate scaling-out paths for the services of distributed applications, we show how SLA scaling rules can be inferred and then used for controlling the runtime scale-in and scale-out of distributed services. We validate our architecture and models by performing scaling experiments with a distributed application representative for the enterprise class of information systems. We show how dynamically generated SLAs can be successfully used for controlling the management of distributed services scaling.

Efficient Team actions

Team is a widely represented phenomenon in sport. Despite this fact, sport psychology has yet to answers the question why some teams deliver more successful Performance and produce higher interpersonal satisfaction among athletes than others. While group cohesion, defined as "a dynamic process which is reflected in the tendency for a group to stick together and remain united in the pursuit of its instrumental objectives and/or for the satisfaction of member affective needs" (Carron, Brawley, & Widmeyer, 1997, p.°213) is considered to be one important factor contributing to performance, cognitive aspects of team performance depict a complementary view. More specifically, attitudes, efficacy beliefs, role understanding, common goals, and communication are present in any group of two or more people playing Sport together. The interactions between these cognitions and motivation, cohesion, performance, and satisfaction in teams sport is yet an under researched area in sport psychology. Reference Carron, A.V., Brawley, L.R., & Widmeyer, W.N. (1997). The measurement of cohesiveness in sport groups. In J.L. Duda (Ed.), Advances in sport and exercise psychology measurement (pp. 213-­226). Morgantown, WV: Fitness Information Technology.