Girls and computing-still a way to go

Years after the introduction of computing in Australian schools, computer classrooms are still heavily dominated by male students studying subjects which have little appeal to female students, explains the author. This article looks at why girls are less likely to choose computing as a subject to study or to consider computing for a future career.<br />

An evolutionary computing approach to minimize dynamic hedging error

The objective of our present paper is to derive a computationally efficient genetic pattern learning algorithm to evolutionarily derive the optimal rebalancing weights (i.e. dynamic hedge ratios) to engineer a structured financial product out of a multiasset, best-of option. The stochastic target function is formulated as an expected squared cost of hedging (tracking) error which is assumed to be partly dependent on the governing Markovian process underlying the individual asset returns and partly on<br />randomness i.e. pure white noise. A simple haploid genetic algorithm is advanced as an alternative numerical scheme, which is deemed to be<br />computationally more efficient than numerically deriving an explicit solution to the formulated optimization model. An extension to our proposed scheme is suggested by means of adapting the Genetic Algorithm parameters based on fuzzy logic controllers.<br />

Intervention programmes to recruit female computing students : why do the programme champions do it?

This paper looks at intervention programmes to improve the representation of female students in computing education and the computer industry, A multiple case study methodology was used to look at major intervention programmes conducted in Australia. One aspect of the research focused on the programme champions; those women from the computing industry, those working within government organisations and those in academia who instigated the programmes. The success of these intervention programmes appears to have been highly dependent upon not only the design of the programme but on the involvement of these strong individuals who were passionate and worked tirelessly to ensure the programme's success. This paper provides an opportunity for the voices of these women to be heard. It describes the champions' own initial involvement with computing which frequently motivated and inspired them to conduct such programmes. The research found that when these types of intervention programmes were conducted by academic staff the work was undervalued compared to when the activities were conducted by staff in industry or in government. The academic environment was often not supportive of academics who conducted intervention programmes for female students.<br />

Security and privacy threats to volunteer computing

The vision of volunteer computing is to provide large scale computational infrastructure by using dynamic collections of donated desktop computers. There have been many works that highlighted the significant benefits of volunteer computing but little on the security and privacy threats associated with its exploitation. However, volunteer computing is vulnerable to a variety of attacks and presents numerous significant security threats to the stakeholders. This paper presents security and privacy threat taxonomy along with the security features developed to cope with such threats.<br />

Performance modeling and analysis of heterogeneous meta-computing systems interconnection networks

The overall performance of a distributed system often depends on the effectiveness of its interconnection network. Thus, the study of the communication networks for distributed systems is very important, which is the focus of this paper. In particular, we address the problem of interconnection networks performance modeling for heterogeneous meta-computing systems. We consider the meta-computing system as a typical multi-cluster system. Since the heterogeneity is becoming common in such systems, we take into account network as well as cluster size heterogeneity to propose the model. To this end, we present an analytical network model and validate the model through comprehensive simulation. The results of the simulation demonstrated that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions.<br />