Adaptive cache aware multiprocessor scheduling framework

Computer resource allocation represents a significant challenge particularly for multiprocessor systems, which consist of shared computing resources to be allocated among co-runner processes and threads. While an efficient resource allocation would result in a highly efficient and stable overall multiprocessor system and individual thread performance, ineffective poor resource allocation causes significant performance bottlenecks even for the system with high computing resources. This thesis proposes a cache aware adaptive closed loop scheduling framework as an efficient resource allocation strategy for the highly dynamic resource management problem, which requires instant estimation of highly uncertain and unpredictable resource patterns. Many different approaches to this highly dynamic resource allocation problem have been developed but neither the dynamic nature nor the time-varying and uncertain characteristics of the resource allocation problem is well considered. These approaches facilitate either static and dynamic optimization methods or advanced scheduling algorithms such as the Proportional Fair (PFair) scheduling algorithm. Some of these approaches, which consider the dynamic nature of multiprocessor systems, apply only a basic closed loop system; hence, they fail to take the time-varying and uncertainty of the system into account. Therefore, further research into the multiprocessor resource allocation is required. Our closed loop cache aware adaptive scheduling framework takes the resource availability and the resource usage patterns into account by measuring time-varying factors such as cache miss counts, stalls and instruction counts. More specifically, the cache usage pattern of the thread is identified using QR recursive least square algorithm (RLS) and cache miss count time series statistics. For the identified cache resource dynamics, our closed loop cache aware adaptive scheduling framework enforces instruction fairness for the threads. Fairness in the context of our research project is defined as a resource allocation equity, which reduces corunner thread dependence in a shared resource environment. In this way, instruction count degradation due to shared cache resource conflicts is overcome. In this respect, our closed loop cache aware adaptive scheduling framework contributes to the research field in two major and three minor aspects. The two major contributions lead to the cache aware scheduling system. The first major contribution is the development of the execution fairness algorithm, which degrades the co-runner cache impact on the thread performance. The second contribution is the development of relevant mathematical models, such as thread execution pattern and cache access pattern models, which in fact formulate the execution fairness algorithm in terms of mathematical quantities. Following the development of the cache aware scheduling system, our adaptive self-tuning control framework is constructed to add an adaptive closed loop aspect to the cache aware scheduling system. This control framework in fact consists of two main components: the parameter estimator, and the controller design module. The first minor contribution is the development of the parameter estimators; the QR Recursive Least Square(RLS) algorithm is applied into our closed loop cache aware adaptive scheduling framework to estimate highly uncertain and time-varying cache resource patterns of threads. The second minor contribution is the designing of a controller design module; the algebraic controller design algorithm, Pole Placement, is utilized to design the relevant controller, which is able to provide desired timevarying control action. The adaptive self-tuning control framework and cache aware scheduling system in fact constitute our final framework, closed loop cache aware adaptive scheduling framework. The third minor contribution is to validate this cache aware adaptive closed loop scheduling framework efficiency in overwhelming the co-runner cache dependency. The timeseries statistical counters are developed for M-Sim Multi-Core Simulator; and the theoretical findings and mathematical formulations are applied as MATLAB m-file software codes. In this way, the overall framework is tested and experiment outcomes are analyzed. According to our experiment outcomes, it is concluded that our closed loop cache aware adaptive scheduling framework successfully drives co-runner cache dependent thread instruction count to co-runner independent instruction count with an error margin up to 25% in case cache is highly utilized. In addition, thread cache access pattern is also estimated with 75% accuracy.

The two faces of normative commitment : a qualitative study of the dual nature of normative commitment

Organisational commitment is extensively represented in the human resource management and organisational behaviour literature as a key factor in the relationship between employees and their organisations. Although Allen and Meyer (1990) noted that an employee can experience the three components of organisational commitment simultaneously, in terms of commitment profiles, the majority of studies have looked at the antecedents and outcomes of affective, continuance, and normative commitment independently. There is still only limited research that has investigated the nature of commitment profiles and their implications for employee work-related behaviours (Gellatly Meyer and Luchak 2006; Herscovitch & Meyer 2002; Somers 2010; Wasti 2005). An area where the commitment profiles approach potentially provides new insights is on the nature of normative commitment.

Information accountability with policy languages for e-Health

ICT is becoming a prominent part of healthcare delivery but brings with it information privacy concerns for patients and competing concerns by the caregivers. A proper balance between these issues must be established in order to fully utilise ICT capabilities in healthcare. Information accountability is a fairly new concept to computer science which focuses on fair use of information. In this paper we investigate the different issues that need to be addressed when applying information accountability principles to manage healthcare information. We briefly introduce an information accountability framework for handling electronic health records (eHR). We focus more on digital rights management by considering data in eHRs as digital assets and how we can represent privacy policies and data usage policies as these are key factors in accountability systems.

Clustering composite SaaS components in cloud computing using a grouping genetic algorithm

Recently, Software as a Service (SaaS) in Cloud computing, has become more and more significant among software users and providers. To offer a SaaS with flexible functions at a low cost, SaaS providers have focused on the decomposition of the SaaS functionalities, or known as composite SaaS. This approach has introduced new challenges in SaaS resource management in data centres. One of the challenges is managing the resources allocated to the composite SaaS. Due to the dynamic environment of a Cloud data centre, resources that have been initially allocated to SaaS components may be overloaded or wasted. As such, reconfiguration for the components’ placement is triggered to maintain the performance of the composite SaaS. However, existing approaches often ignore the communication or dependencies between SaaS components in their implementation. In a composite SaaS, it is important to include these elements, as they will directly affect the performance of the SaaS. This paper will propose a Grouping Genetic Algorithm (GGA) for multiple composite SaaS application component clustering in Cloud computing that will address this gap. To the best of our knowledge, this is the first attempt to handle multiple composite SaaS reconfiguration placement in a dynamic Cloud environment. The experimental results demonstrate the feasibility and the scalability of the GGA.

A penalty-based grouping genetic algorithm for multiple composite SaaS components clustering in Cloud

Software as a Service (SaaS) in Cloud is getting more and more significant among software users and providers recently. A SaaS that is delivered as composite application has many benefits including reduced delivery costs, flexible offers of the SaaS functions and decreased subscription cost for users. However, this approach has introduced a new problem in managing the resources allocated to the composite SaaS. The resource allocation that has been done at the initial stage may be overloaded or wasted due to the dynamic environment of a Cloud. A typical data center resource management usually triggers a placement reconfiguration for the SaaS in order to maintain its performance as well as to minimize the resource used. Existing approaches for this problem often ignore the underlying dependencies between SaaS components. In addition, the reconfiguration also has to comply with SaaS constraints in terms of its resource requirements, placement requirement as well as its SLA. To tackle the problem, this paper proposes a penalty-based Grouping Genetic Algorithm for multiple composite SaaS components clustering in Cloud. The main objective is to minimize the resource used by the SaaS by clustering its component without violating any constraint. Experimental results demonstrate the feasibility and the scalability of the proposed algorithm.

A sustainable Murray-Darling Basin : the legal challenges

The range of legal instruments informing how the Murray-Darling Basin (MDB)is managed is extensive. Some provide guidance; a number indicate strategies and policies; some assume the form of protectable rights and enforceable duties.What has emerged is a complicated and sophisticated web of interacting normative arrangements. These include: several international agreements including those concerning wetlands,biodiversity and climate change; the Constitution of the Commonwealth; the Water Act 2007 of the Commonwealth; the Murray-Darling Basin Agreement scheduled to the Act; State water entitlements stated in the Agreement; Commonwealth environmental water holdings under the Act; the Murray-Darling Basin Plan; water-resource plans under the Act or State or Territorial water legislation; State and Territorial water legislation; and water entitlements and water rights under State or Territorial water legislation.

Sustainable water provision : challenges, alternative strategies and sources in the ERA of climate change

As a result of rapid urbanisation, population growth, changes in lifestyle, pollution and the impacts of climate change, water provision has become a critical challenge for planners and policy-makers. In the wake of increasingly difficult water provision and drought, the notion that freshwater is a finite and vulnerable resource is increasingly being realised. Many city administrations around the world are struggling to provide water security for their residents to maintain lifestyle and economic growth. This chapter reviews the global challenge of providing freshwater to sustain lifestyles and economic growth, and the contributing challenges of climate change, urbanisation, population growth and problems in rainfall distribution. The chapter proceeds to evaluate major alternatives to current water sources such as conservation, recycling and reclamation, and desalination. Integrated water resource management is briefly looked at to explore its role in complementing water provision. A comparative study on alternative resources is undertaken to evaluate their strengths, weaknesses, opportunities and constraints, and the results are discussed.

Spatial and temporal analysis of Barmah Forest virus disease in Queensland, Australia

Barmah Forest virus (BFV) disease is one of the most widespread mosquito-borne diseases in Australia. The number of outbreaks and the incidence rate of BFV in Australia have attracted growing concerns about the spatio-temporal complexity and underlying risk factors of BFV disease. A large number of notifications has been recorded continuously in Queensland since 1992. Yet, little is known about the spatial and temporal characteristics of the disease. I aim to use notification data to better understand the effects of climatic, demographic, socio-economic and ecological risk factors on the spatial epidemiology of BFV disease transmission, develop predictive risk models and forecast future disease risks under climate change scenarios. Computerised data files of daily notifications of BFV disease and climatic variables in Queensland during 1992-2008 were obtained from Queensland Health and Australian Bureau of Meteorology, respectively. Projections on climate data for years 2025, 2050 and 2100 were obtained from Council of Scientific Industrial Research Organisation. Data on socio-economic, demographic and ecological factors were also obtained from relevant government departments as follows: 1) socio-economic and demographic data from Australian Bureau of Statistics; 2) wetlands data from Department of Environment and Resource Management and 3) tidal readings from Queensland Department of Transport and Main roads. Disease notifications were geocoded and spatial and temporal patterns of disease were investigated using geostatistics. Visualisation of BFV disease incidence rates through mapping reveals the presence of substantial spatio-temporal variation at statistical local areas (SLA) over time. Results reveal high incidence rates of BFV disease along coastal areas compared to the whole area of Queensland. A Mantel-Haenszel Chi-square analysis for trend reveals a statistically significant relationship between BFV disease incidence rates and age groups (ƒÓ2 = 7587, p<0.01). Semi-variogram analysis and smoothed maps created from interpolation techniques indicate that the pattern of spatial autocorrelation was not homogeneous across the state. A cluster analysis was used to detect the hot spots/clusters of BFV disease at a SLA level. Most likely spatial and space-time clusters are detected at the same locations across coastal Queensland (p<0.05). The study demonstrates heterogeneity of disease risk at a SLA level and reveals the spatial and temporal clustering of BFV disease in Queensland. Discriminant analysis was employed to establish a link between wetland classes, climate zones and BFV disease. This is because the importance of wetlands in the transmission of BFV disease remains unclear. The multivariable discriminant modelling analyses demonstrate that wetland types of saline 1, riverine and saline tidal influence were the most significant risk factors for BFV disease in all climate and buffer zones, while lacustrine, palustrine, estuarine and saline 2 and saline 3 wetlands were less important. The model accuracies were 76%, 98% and 100% for BFV risk in subtropical, tropical and temperate climate zones, respectively. This study demonstrates that BFV disease risk varied with wetland class and climate zone. The study suggests that wetlands may act as potential breeding habitats for BFV vectors. Multivariable spatial regression models were applied to assess the impact of spatial climatic, socio-economic and tidal factors on the BFV disease in Queensland. Spatial regression models were developed to account for spatial effects. Spatial regression models generated superior estimates over a traditional regression model. In the spatial regression models, BFV disease incidence shows an inverse relationship with minimum temperature, low tide and distance to coast, and positive relationship with rainfall in coastal areas whereas in whole Queensland the disease shows an inverse relationship with minimum temperature and high tide and positive relationship with rainfall. This study determines the most significant spatial risk factors for BFV disease across Queensland. Empirical models were developed to forecast the future risk of BFV disease outbreaks in coastal Queensland using existing climatic, socio-economic and tidal conditions under climate change scenarios. Logistic regression models were developed using BFV disease outbreak data for the existing period (2000-2008). The most parsimonious model had high sensitivity, specificity and accuracy and this model was used to estimate and forecast BFV disease outbreaks for years 2025, 2050 and 2100 under climate change scenarios for Australia. Important contributions arising from this research are that: (i) it is innovative to identify high-risk coastal areas by creating buffers based on grid-centroid and the use of fine-grained spatial units, i.e., mesh blocks; (ii) a spatial regression method was used to account for spatial dependence and heterogeneity of data in the study area; (iii) it determined a range of potential spatial risk factors for BFV disease; and (iv) it predicted the future risk of BFV disease outbreaks under climate change scenarios in Queensland, Australia. In conclusion, the thesis demonstrates that the distribution of BFV disease exhibits a distinct spatial and temporal variation. Such variation is influenced by a range of spatial risk factors including climatic, demographic, socio-economic, ecological and tidal variables. The thesis demonstrates that spatial regression method can be applied to better understand the transmission dynamics of BFV disease and its risk factors. The research findings show that disease notification data can be integrated with multi-factorial risk factor data to develop build-up models and forecast future potential disease risks under climate change scenarios. This thesis may have implications in BFV disease control and prevention programs in Queensland.

Managing older workers during a period of tight labour supply

This article reports on a recent survey of employer attitudes and policies towards older workers in Australia at a time of sustained economic growth and ongoing concerns about labour shortages. Findings from a survey of 590 employers with more than 50 employees in the State of Queensland point to an unusually strong orientation towards the recruitment of older workers among respondents, although the retraining of older workers is not prioritised by the majority. The issue of workforce ageing is viewed as being of medium-term importance by the majority of respondents, although for a substantial number the issue is of immediate concern. Both sector and organisation size are predictive of the application of a broad range of policies targeting older workers, with public-sector and larger organisations more likely to be active. Concerns about workforce ageing and labour supply are predictive of employer behaviours regarding older workers, suggesting that sustained policy making may be emerging in response to population ageing over and above more immediate concerns about labour shortages and that this broad thrust of organisational policy making may be immune to the point in the economic cycle. This study found no evidence that the flexible firm will not countenance an ageing workforce.

Varieties of collaboration: The case of an Australian retail union

Much has been written about varieties of collaboration and the interplay between conflict and collaboration in industrial relations. This paper explores the preconditions, processes and outcomes associated with the collaborative strategies of an Australian retail trade union: the Shop, Distributive and Allied Employees' Association. The data were collected from an extensive series of interviews with officials and organisers within the union across all Australian states. We find that despite taking a servicing approach, and indeed never aggressively organising members, the union has managed to achieve a range of outcomes that exceed retail employment conditions in other countries. We argue that this is partly a result of the Australian legislative framework, which is inherently pluralist and supportive of collective bargaining. This environment, whereby unions are not forced to fight to represent members, can be conducive to collaborative employment relations, particularly in industries where the parties do not adopt an adversarialist stance.

Self-directed student work groups using blended learning

This paper provides a description of an innovative teaching approach designed to facilitate student work groups using a blended learning approach that incorporates both traditional face-to-face teaching methods and an online student work group facility. The teaching approach is designed to accommodate a large introductory human resource management subject positioned within an undergraduate business degree.

Paradoxes of participation : non-union workplace partnerships in John Lewis

The extent to which workplace partnership delivers mutual gains is subject to considerable debate amongst practitioners and scholars. One of the oldest and largest examples of workplace partnership is the John Lewis Partnership that began using forms of non-union employee representation in 1929. Despite ongoing interest from researchers in employee representation, and specifically non-union forms of employee voice, there have been few in-depth studies of the Partnership's organisational structure and practices since the 1980s. This paper explores in detail the operation of representation structures in the John Lewis Partnership, which is a significant case of non-union workplace partnership with the potential for mutual gains. A key finding of the paper was that the decision-making structures that characterise the Partnership, and that are protected by a constitution, are under constant threat from the discursive struggle to define partnership in a way that privileges managerial interests. The paper argues, therefore, that mutual gains need to be secured both structurally and discursively to address the tensions and paradoxes at the heart of debates about the meaning and aims of employee representation.

Water end use consumption analysis study into Gold Coast dual reticulated households : pilot study

Australia is the driest inhabited continent in the world and persisting droughts have triggered a move toward sensible and sustainable water consumption. Understanding how and where water is consumed in households enables streamlined development of demand management programs and efficient engineering of water infrastructure. End use water consumption analysis is required to gain necessary empirical data of how and where water is consumed. Several end use water consumption studies have been conducted within Australia and around the world with varying results produced. This pilot study paper provides preliminary data from the Gold Coast Watersaver End Use Project which is currently underway. Specifically, the paper includes water end use category volumetric and percentage break downs for 18 single and 32 dual reticulated homes on the Gold Coast (i.e. 50 in total). Moreover, a comparitive analysis between each of the individual households water end use levels is discussed along with other national studies previously completed. The paper finishes with an overview of the greater 200 home end use study conducted on the Gold Coast and its key deliverables and research outcomes.

Cultural impact on e-service use in Saudi Arabia : the role of nepotism

This paper reports the results of a mixed method approach to answer: To what extent do cultural values impact on e-service use in Saudi Arabia, and if so how? This paper will firstly, introduce the importance of culture and define the aspects of Saudi culture. It will then describe the method used and present the questionnaire findings related to the role of nepotism. The review of the literature on nepotism indicates there is still much to be studied and learned. The legal aspects of nepotism, in addition to its impact on human resource management appear to be the more reported issues. However, nepotism’s impact on Information and Communication Technologies (ICT) has not been studied. This research aims to cover this gap by investigating to what extent nepotism, as one of Saudi Arabia’s cultural values, impacts on e-service use in Saudi Arabia. The tested hypothesis was found consistent with its predicted outcome: nepotism is a negative predictor of intention to use e- services in Saudi Arabia. It is evidenced that consideration of the impact of the cultural values will mainly contribute to the enhancement of social and organisational aspects of e-society research and practices, by deeply understanding them as of the influntials to e-service implementation.

Conflict and communication among engineers

The trend of cultural diversity is increasing in all organizations, especially engineering ones, due to globalization, mergers, joint ventures and the movement of the workforce. The collaborative nature of projects in engineering industries requires long-term teamwork between local and international engineers. Research confirms a specific culture among engineering companies that isassumed to have a negative effect on collaboration and communication among co-workers. Multicultural workplaces have been reported as challenging environments in the engineering work culture, which calls for more research among engineering organizations. An everyday challenge for co-workers, especially in culturally diverse contexts, is handling interpersonal conflict. This perceived conflict among individuals can happen because of actual differences in tasks or relationships. Research demonstrates that task conflict at the group level has some positive effects on decision-making and innovation, while it has negative effects on employees’ work attitude and performance. However, relationship conflict at the individual level has only negative effects including frustration, tension, low job satisfaction, high employee turnover and low productivity. Outcomes of both task and relationship conflict at individual level can have long-term negative consequences like damaged organizational commitment. One of the most important sources of differences between individuals, which results in conflict, is their cultural backgrounds. First, this thesis suggests that in culturally diverse workplaces, people perceive more relationship conflict than task conflict. Second, this thesis examines interpersonal communication in culturally diverse work places. Communicating effectively in culturally diverse workplaces is crucial for today’s business. Culture has a large effect on the ways that people communicate with each other. Ineffective communication can escalate interpersonal conflict and cause frustration in the long term. Communication satisfaction, defined as enjoying the communication and feeling that the communication was appropriate and effective, has a positive effect on individuals’ psychological wellbeing. In a culturally diverse workplace, it is assumed that individuals feel less satisfied with their interpersonal communications because of their lack of knowledge about other cultures’ communication norms. To manage interpersonal interactions, many authors suggest that individuals need a specific capability, i.e., cultural intelligence (some studies use cultural competence, global intelligence or intercultural competence interchangeably). Some authors argue that cultures are synergic and convergent and the postmodernist definition of culture is just our dominant beliefs. However, other authors suggest that cultural intelligence is the strongest and most comprehensive competency for managing cross-cultural interactions, because various cultures differ so greatly at the micro level. This thesis argues that individuals with a high level of cultural intelligence perceive less interpersonal conflict and more satisfaction with their interpersonal communication. Third, this thesis also looks at individuals' perception of cultural diversity. It is suggested that level of cultural diversity plays a moderating role on all of the proposed relationships (effect of cultural intelligence on perception of relationship conflict/ communication satisfaction) This thesis examines the relationship among cultural diversity, cultural intelligence, interpersonal conflict and communication by surveying eleven companies in the oil and gas industry. The multicultural nature of companies within the oil and gas industry and the characteristics of engineering culture call for more in-depth research on interpersonal interactions. A total of 286 invitation emails were sent and 118 respondents replied to the survey, giving a 41.26 per cent response rate. All the respondents were engineers, engineering managers or practical technicians. The average age of the participants was 36.93 years and 58.82 per cent were male. Overall, 47.6 per cent of the respondents had at least a master’s degree. Totally, 42.85 per cent of the respondents were working in a country that was not their country of birth. The overall findings reveal that cultural diversity and cultural intelligence significantly influence interpersonal conflict and communication satisfaction. Further, this thesis also finds that cultural intelligence is an effective competency for dealing with the perception of interpersonal relationship conflict and communication satisfaction when the level of cultural diversity is moderate to high. This thesis suggests that cultural intelligence training is necessary to increase the level of this competency among employees in order to help them to have better understanding of other cultures. Human resource management can design these training courses with consideration for the level of cultural diversity within the organization.