Guatemala: A Failing State?

 Guatemala is not a failed state and is unlikely to become one in the near future. Although the state currently fails to provide adequate security to its citizens or an appropriate range of effective social programs, it does supply a functioning electoral democracy, sound economic management, and a promising new antipoverty program, My Family Progresses (MIFAPRO).  Guatemala is a weak state. The principal security threats represented by expanding Mexican drug trafficking organizations (DTOs), criminal parallel powers, and urban gangs have overwhelmed the resources of the under-resourced and compromised criminal justice system. The UN-sponsored International Commission against Impunity in Guatemala (CICIG), however, has demonstrated that progress against organized crime is possible.  The principal obstacles to strengthening the Guatemalan state lie in the traditional economic elite’s resistance to taxation and the venal political class’ narrow focus on short-term interests. Guatemala lacks a strong, policyoriented, mass-based political party that could develop a coherent national reform program and mobilize public support around it.  The United States should strengthen the Guatemalan state by expanding the Central America Regional Security Initiative (CARSI) and by strongly supporting CICIG, MIFAPRO, and the Supreme Electoral Tribunal (TSE).

Interoperable resource brokering with policy-based provisioning and job allocation

The increasing needs for computational power in areas such as weather simulation, genomics or Internet applications have led to sharing of geographically distributed and heterogeneous resources from commercial data centers and scientific institutions. Research in the areas of utility, grid and cloud computing, together with improvements in network and hardware virtualization has resulted in methods to locate and use resources to rapidly provision virtual environments in a flexible manner, while lowering costs for consumers and providers. ^ However, there is still a lack of methodologies to enable efficient and seamless sharing of resources among institutions. In this work, we concentrate in the problem of executing parallel scientific applications across distributed resources belonging to separate organizations. Our approach can be divided in three main points. First, we define and implement an interoperable grid protocol to distribute job workloads among partners with different middleware and execution resources. Second, we research and implement different policies for virtual resource provisioning and job-to-resource allocation, taking advantage of their cooperation to improve execution cost and performance. Third, we explore the consequences of on-demand provisioning and allocation in the problem of site-selection for the execution of parallel workloads, and propose new strategies to reduce job slowdown and overall cost.^

The emergence of a mass community-based ecotourism theme park : the case of Ejido Chacchoben, Quintana Roo, Mexico

In 1998, a dispute between a federal government agency and the local community of Chacchoben resulted in the emergence of a community-based ecotourism (CBE) enterprise to be fully owned and operated by the community in conjunction with a complex arrangement of agreements and partnerships with external actors. CBE is usually framed as a lower-impact, often small-scale alternative to mass tourism and as a conservation and development strategy that can hypothetically protect biologically diverse landscapes while improving the lives of marginalized peasant and indigenous communities through their participation. This case study analyzes the roles of common property land tenure and social capital and how the unique dilemma of a mass community-based ecotourism theme park emerged in Chacchoben. Findings indicate that local decisions and processes of development, conservation, and land use are affected by the complex interaction between local and external institutions and fluctuating levels of social capital.

Interoperable Resource Brokering with Policy-based Provisioning and Job Allocation

The increasing needs for computational power in areas such as weather simulation, genomics or Internet applications have led to sharing of geographically distributed and heterogeneous resources from commercial data centers and scientific institutions. Research in the areas of utility, grid and cloud computing, together with improvements in network and hardware virtualization has resulted in methods to locate and use resources to rapidly provision virtual environments in a flexible manner, while lowering costs for consumers and providers. However, there is still a lack of methodologies to enable efficient and seamless sharing of resources among institutions. In this work, we concentrate in the problem of executing parallel scientific applications across distributed resources belonging to separate organizations. Our approach can be divided in three main points. First, we define and implement an interoperable grid protocol to distribute job workloads among partners with different middleware and execution resources. Second, we research and implement different policies for virtual resource provisioning and job-to-resource allocation, taking advantage of their cooperation to improve execution cost and performance. Third, we explore the consequences of on-demand provisioning and allocation in the problem of site-selection for the execution of parallel workloads, and propose new strategies to reduce job slowdown and overall cost.