International Connections: Resources That Support the Growth and Development of Community Foundations Globally

Documents international linkages between, and support for, the promotion and development of community foundations. Identifies gaps in funding and support

A Study of Grid Applications: Scheduling Perspective

As the Grid evolves from a high performance cluster middleware to a multipurpose utility computing framework, a good understanding of Grid applications, their statistics and utilisation patterns is required. This study looks at job execution times and resource utilisations in a Grid environment, and their significance in cluster and network dimensioning, local level scheduling and resource management

2005 Community Foundation Global Status Report

In 1999 the International Programs department of the Council on Foundations and the newly-formed Worldwide Initiatives for Grantmaker Support-Community Foundations (WINGS-CF) sponsored a project to track for the first time the global development of community foundations. This resulted in 2000 in the publication of The Growth of Community Foundations Around the World. In 2003, WINGS-CF reshaped and updated the report to focus on international community foundation trends and developments since the previous report. It became the first in a series of three annual reports

Managing Uncertainty: A Case for Probabilistic Grid Scheduling

The Grid technology is evolving into a global, service-orientated architecture, a universal platform for delivering future high demand computational services. Strong adoption of the Grid and the utility computing concept is leading to an increasing number of Grid installations running a wide range of applications of different size and complexity. In this paper we address the problem of elivering deadline/economy based scheduling in a heterogeneous application environment using statistical properties of job historical executions and its associated meta-data. This approach is motivated by a study of six-month computational load generated by Grid applications in a multi-purpose Grid cluster serving a community of twenty e-Science projects. The observed job statistics, resource utilisation and user behaviour is discussed in the context of management approaches and models most suitable for supporting a probabilistic and autonomous scheduling architecture

Adverse Childhood Experiences: National and State-Level Prevalence

Adverse childhood experiences (ACEs) are potentially traumatic events that can have negative, lasting effects on health and well-being. These experiences range from physical, emotional, or sexual abuse to parental divorce or the incarceration of a parent or guardian. A growing body of research has sought to quantify the prevalence of adverse childhood experiences and illuminate their connection with negative behavioral and health outcomes, such as obesity, alcoholism, and depression, later in life. However, prior research has not reported on the prevalence of ACEs among children in a nationally representative, non-clinical sample. In this brief, we describe the prevalence of one or more ACEs among children ages birth through 17, as reported by their parents, using nationally representative data from the 2011/12 National Survey of Children's Health (NSCH). We estimate the prevalence of eight specific ACEs for the U.S., contrasting the prevalence of specific ACEs among the states and between children of different age groups

Enabling Adaptive Grid Scheduling and Resource Management

Wider adoption of the Grid concept has led to an increasing amount of federated computational, storage and visualisation resources being available to scientists and researchers. Distributed and heterogeneous nature of these resources renders most of the legacy cluster monitoring and management approaches inappropriate, and poses new challenges in workflow scheduling on such systems. Effective resource utilisation monitoring and highly granular yet adaptive measurements are prerequisites for a more efficient Grid scheduler. We present a suite of measurement applications able to monitor per-process resource utilisation, and a customisable tool for emulating observed utilisation models. We also outline our future work on a predictive and probabilistic Grid scheduler. The research is undertaken as part of UK e-Science EPSRC sponsored project SO-GRM (Self-Organising Grid Resource Management) in cooperation with BT