This research focuses on the role of water governance in building resilience and fostering sustainability in socio-ecological systems (SES). Water governance refers to the structures, processes and actors – and the dynamic interactions among them – that facilitate and influence decisions affecting water resources and aquatic ecosystems in terms of their collective influence on sustainability of SES. As human water demands grow and the impacts of climate change set in, water governance regimes are increasingly challenged to provide sufficient water to support livelihood and economic activities while also protecting the life-supporting functions of freshwater ecosystems. The objective of this thesis was to understand and assess whether governance arrangements for water allocation in Ontario are effectively addressing this challenge. A broad literature review focused on three overlapping bodies of literature – (1) sustainability, resilience and systems thinking, (2) governance and planning, and (3) water policy and management. From this review, a conceptual framework was developed to guide understanding and assessing the effectiveness of water governance arrangements to enhance resilience and foster sustainability. The framework includes seven criteria: socio-ecological system integrity; equity; efficiency; transparency and accountability; participation and collaboration; precaution and adaptation; and, integration. A case study of water allocation was undertaken in Whiteman’s Creek watershed, a sub-watershed of the Grand River in southwestern Ontario, where water scarcity is a persistent concern and where conditions are anticipated to worsen under climate change, posing problems for both human livelihoods and the integrity of the creek ecosystem. Data for the case study were collected through content analysis of documents, records and websites and through semi-structured interviews with key informants. The conceptual framework was used to synthesize the data into a narrative from which recommendations for strengthening water governance were proposed. Water governance is increasingly taking on forms more distributed or polycentric in structure and more inclusive, collaborative and participatory than previous models built largely on top-down, centralized decision making. This shift is viewed by many as a critical element for building resilience and sustainability. While the governance regime for water allocation in Whiteman’s Creek reflects these general trends, the case study findings suggest that Ontario’s existing water governance system is not capable to deal effectively with more frequent and prolonged drought conditions anticipated in Whiteman’s Creek as the climate changes. Introduction of decentralized governance arrangements over the past decade, primarily the Ontario Low Water Response (OLWR) plan, has enhanced capacity in Whiteman’s Creek to cope with recurring low water conditions. Yet when pressed with extreme drought conditions, as experienced during the period of field work for this thesis, the challenge of satisfying both instream water needs and withdrawal uses reveals weaknesses in the governance system, including unclear decision-making criteria (e.g., related to hydrological thresholds), uncertainty related to roles and responsibilities of various actors, and generally limited capacity for precaution and adaptation. Recommendations are proposed for improving water governance in Whiteman’s Creek, and in Ontario more broadly. Ecologically-based thresholds should be integrated into water management regimes to ensure sufficient water is secured to sustain aquatic ecosystem integrity and to provide clarity on limits to permitted allocation and OWLR thresholds. More broadly, a focus on building adaptive capacity and engaging in anticipatory planning will be central to building resilience and fostering sustainability in Whiteman’s Creek.

Although project portfolio management (PPM) has been an active research area over the past 50 years, budget allocation models that consider competition are sparse. Firms faced with the project portfolio management problem must not only consider their current projections for the returns from their projects’ target markets, but must also anticipate that these returns can depend significantly on the investment decisions made by their competitors. In this thesis, we develop four Competitive PPM (CPPM) models wherein firms allocate resources between multiple projects and project returns are influenced by the actions taken by competitors. In the first two CPPM problems, we assume all-or-nothing project investment decisions where firms fully commit to either a project targeting a mature or an emerging market and the investment amount is fixed (first model) or a decision variable (second model). In the final two CPPM problems, firms have a fixed budget which they allocate in a continuous manner between two markets (third model) or multiple markets (fourth model). The returns each firm obtains from investments into these markets are assumed to follow an s-shaped curve (first model), the Inada (1963) conditions (third model), or are determined based on linear demand functions (second and fourth model). In the first model, two competing firms consider investing into two separate projects targeting a mature and an emerging market. We assume that firms have symmetric investment opportunities for each market and each firm simultaneously decides whether to invest in the mature or the emerging market. The returns from these markets are assumed to follow an s-shaped curve and depend on both firms’ investment decision. We characterize the variety of interactions that may emerge in symmetric environments (e.g., Prisoner’s Dilemma or Game of Chicken). For each game, we outline the CPPM strategy that can offer higher returns by exploiting first-mover advantages, cooperation opportunities and aggressive choices. We also discuss the market conditions that lead to these games. In the second model, a similar CPPM setting is considered where two symmetric firms face two target markets. However, we assume that demand for the emerging market is uncertain and may expand through firms’ market entry (positive diffusion effects), while demand for the mature market is known with certainty and cannot expand. Firms decide when to invest, in which market to invest, and how much to invest into this market. Our analysis reveals that the existence of multiple investment opportunities may induce firms to delay their investment even in the absence of demand uncertainty, and that high diffusion effects coupled with low demand uncertainty can drive firms to invest early even if both firms could increase returns by delaying their investment. We then study the asymmetric case where firms differ with respect to their costs and diffusion effects and show some counter-intuitive results. In the third CPPM problem, we consider continuous budget allocations and prove that while a monopoly firm bases its budget allocation decision solely on the marginal returns of the two markets, duopoly firms also account for their average returns from the two markets. This drives duopoly firms, in particular the firm with the smaller budget, to invest more heavily into the mature market. We show that as a firm’s budget increases, the share of its budget that is invested into the mature market decreases while its competitor’s investment into the mature market increases. This chapter also explores how changes to the market parameters and market uncertainty affect the resource allocation decision of firms under competition. Considering the special case of identical budgets, we prove that as the number of competing firms increases (with a fixed total budget), firms allocate an even greater share of their budget into the mature market. The fourth model considers a general case where a number of budget-constrained firms engage in production decisions for multiple markets under competition. Each firm decides how much to produce for each market, subject to its budget constraint. We prove that firms produce greater quantities for markets with higher than average base demand and that these quantities are increasing in the number of competitors (assuming identical production capacities). With asymmetric production capacities, we numerically illustrate how firms with large production capacities may, instead, increase production into lower than average base demand markets. Furthermore, we characterize the increase in return firms can expect from budget increases and conjecture that if some markets are not served by all firms, the remaining firms reduce their production into those markets where some firms are not producing.

Within the artificial intelligence subfield of multiagent systems, one challenge that arises is determining how to efficiently allocate resources to all agents in a way that maximizes the overall expected utility. In this thesis, we explore a distributed solution to this problem, one in which the agents work together to coordinate their requests for resources and which is considered to be ex-ante rational: in other words, requiring agents to be willing to give up their current resources to those with greater need by reasoning about what is for the common good. Central to our solution is allowing for preemption of tasks that are currently occupying resources; this is achieved by introducing a concept from adjustable autonomy multiagent systems known as a transfer of control (TOC) strategy. In essence a TOC strategy is a plan of an agent to acquire resources at future times, and can be used as a contingency plan that an agent will execute if it loses its current resource. The inclusion of TOC strategies ultimately provides for a greater optimism among agents about their future resource acquisitions, allowing for more generous behaviours, and for agents to more frequently agree to relinquish current resources, resulting in more effective preemption policies. Three central contributions arise. The first is an improved methodology for generating transfer of control strategies efficiently, using a dynamic programming approach, which enables a more effective employment of TOCs in our resource allocation solution. The second is an important clarification of the value of integrating learning techniques in order for agents to acquire improved estimates of the costs of preemption. The last is a validation of the overall multiagent resource allocation (MARA) solution, using simulations which show quantifiable benefits of our novel approach. In particular, we consider in detail the emergency medical application of mass casualty incidents and are able to demonstrate that our approach of integrating transfer of control strategies results in effective allocation of patients to doctors: ones which in simulations re- sult in dramatically fewer patients in a critical healthstate than are produced by competing MARA algorithms. In short, we offer a principled solution to the problem of preemption, allowing the elimination of a source of inefficiencies in fully distributed multiagent resource allocation systems; a faster method for generation of transfer of control strategies; and a convincing application of the system to a real world problem where human lives are at stake.

Addressing inequities in health both within and between countries has attracted considerable global attention in recent years. In theory, equity remains one of the key policy objectives of health systems and underpins the allocation of health sector resources in many countries. In practice, however, current evidence demonstrates that only limited progress has been made in terms of bridging the health inequity gap and improving the health of the least advantaged. The persistence of inequities in health and health outcomes raises concerns about how governments and health authorities distribute limited health resources to improve the health of the poor and most vulnerable and thereby promote equity. This thesis is about equity and allocation of financial resources in the health system of New South Wales, one of the eight states of Australia. It investigated the extent to which there has been a movement towards equity in resource allocation to Area Health Services under the NSW Health Resource Distribution Formula and whether this has been reflected in equitable resource allocation within Area Health Services. It considered only resources allocated through the NSW Department of Health. The study employed a combination of qualitative and quantitative methods to gather and analyse data. The qualitative component analysed data gathered through semi–structured interviews with policy makers, health executives, managers, and other stakeholders to establish the resource allocation processes and the factors upon which the allocation decisions were based. The quantitative component analysed health expenditure and health needs data to assess the extent to which allocation of resources from the State to Area Health Service levels has been equitable in terms of reflecting the level of health needs. Two indices were constructed and used as proxies for health needs. Principal component analysis was used in the construction of one of the indices, using demographic, socio–economic and health-related data. The other index was developed using a combination of premature mortality and morbidity data. The quantitative study spans the two decades 1989/90 to 2006/07, with a more detailed analysis of material for the years 2003/04 to 2006/07. The findings of the study show a considerable degree of inequity in resource allocation with several Area Health Services (AHSs) receiving less than a fair share of funding for the years analysed, although some movements towards equity were evident. This contradicts the general impression that the introduction of the resource distribution formula in NSW has significantly improved equity in resource allocation. In general, funding allocation at the State level correlated significantly with population size but not with health needs of the eight AHSs in NSW. Similarly, within the AHSs, allocation of funds was based on programs and services and not on health needs. Key issues that emerged from the qualitative data as affecting the equity with which health funds are allocated in the NSW health system include limited use of the resource distribution formula at the state level, lack of an effective resource allocation tool to guide the distribution of funds within AHSs, and insufficient emphasis on equity at the AHS level. It is crucial that these and several other issues identifies in the study are addressed if current inequities in funding and in health outcomes generally are to be effectively reduced.

Addressing inequities in health both within and between countries has attracted considerable global attention in recent years. In theory, equity remains one of the key policy objectives of health systems and underpins the allocation of health sector resources in many countries. In practice, however, current evidence demonstrates that only limited progress has been made in terms of bridging the health inequity gap and improving the health of the least advantaged. The persistence of inequities in health and health outcomes raises concerns about how governments and health authorities distribute limited health resources to improve the health of the poor and most vulnerable and thereby promote equity. This thesis is about equity and allocation of financial resources in the health system of New South Wales, one of the eight states of Australia. It investigated the extent to which there has been a movement towards equity in resource allocation to Area Health Services under the NSW Health Resource Distribution Formula and whether this has been reflected in equitable resource allocation within Area Health Services. It considered only resources allocated through the NSW Department of Health. The study employed a combination of qualitative and quantitative methods to gather and analyse data. The qualitative component analysed data gathered through semi–structured interviews with policy makers, health executives, managers, and other stakeholders to establish the resource allocation processes and the factors upon which the allocation decisions were based. The quantitative component analysed health expenditure and health needs data to assess the extent to which allocation of resources from the State to Area Health Service levels has been equitable in terms of reflecting the level of health needs. Two indices were constructed and used as proxies for health needs. Principal component analysis was used in the construction of one of the indices, using demographic, socio–economic and health-related data. The other index was developed using a combination of premature mortality and morbidity data. The quantitative study spans the two decades 1989/90 to 2006/07, with a more detailed analysis of material for the years 2003/04 to 2006/07. The findings of the study show a considerable degree of inequity in resource allocation with several Area Health Services (AHSs) receiving less than a fair share of funding for the years analysed, although some movements towards equity were evident. This contradicts the general impression that the introduction of the resource distribution formula in NSW has significantly improved equity in resource allocation. In general, funding allocation at the State level correlated significantly with population size but not with health needs of the eight AHSs in NSW. Similarly, within the AHSs, allocation of funds was based on programs and services and not on health needs. Key issues that emerged from the qualitative data as affecting the equity with which health funds are allocated in the NSW health system include limited use of the resource distribution formula at the state level, lack of an effective resource allocation tool to guide the distribution of funds within AHSs, and insufficient emphasis on equity at the AHS level. It is crucial that these and several other issues identifies in the study are addressed if current inequities in funding and in health outcomes generally are to be effectively reduced.

Parallel processing is an important and popular aspect of computing and has been developed to meet the demands of high-performance computing applications. In terms of hardware, a large number of processors connected with high speed networks are put together to solve large scale computationally intensive applications. The computer performance improvements made so far have been based on technological developments. In terms of software, many algorithms are developed for application problem execution on parallel systems to achieve required performance. Clustering and scheduling of tasks for parallel implementation is a well researched problem. Several techniques have been studied to improve performance and reduce problem execution times. In this thesis, a new clustering and scheduling scheme, called flexible clustering and scheduling (FCS) algorithm is proposed. It is a novel approach where clustering and scheduling of tasks can be tuned to achieve maximal speedup or efficiency. The proposed scheme is based on the relation between the costs of computation and communication of task clusters. Vital system parameters such as processor speed, number of processors, and communication bandwidth affect speedup and efficiency. Processor speed and communication bandwidth vary from system to system. Most clustering and scheduling strategies do not take into account the system parameters. The low complexity FCS algorithm can adapt itself to suit different parallel computing platforms and it can also be tuned to suit bounded or unbounded number of processors. The analytical, simulation and experimental studies presented in this thesis validate the claims.

Thesis (Ph. D.)--University of Washington, 1989. / Vita. Includes bibliographical references (leaves [183]-197).

Thesis (M.B.A.)--University of Nevada, Reno, 2006. / "December, 2006." Includes bibliographical references (leaves 35-36). Online version available on the World Wide Web. Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2006]. 1 microfilm reel ; 35 mm.

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.

Diss. Linköping : Univ., 2002.