Improving Overall usage of Servers by Measuring Uneven Utiliztion of a Server and allocating the Applications in the Face of Multidimensional Resource Constraints

2018 ◽  
Vol 6 (9) ◽  
pp. 300-307
Author(s):  
S.K. Sonkar ◽  
M. U. Kharat
2018 ◽  
Vol 34 (1) ◽  
Author(s):  
Patricia L. Hardré

Rural schools face the challenges of motivating and retaining students, often in the face of severe resource constraints. This paper synthesizes fifteen years of the author’s rural research on secondary students’ school-related motivation, distilling it into strategic principles for rural teachers and administrators. Effective motivational knowledge and strategies supported by both theory and research can help school staff fill the gap between potential and actual student achievement. Multi-level strategies for motivating individuals and groups include elements of classroom instructional practice, interpersonal relationships, and the broader school motivational climate including policy. By motivating students effectively, teachers and administrators can bridge the gap between what students do achieve and what they could achieve.  


Author(s):  
Lillian J. Ratliff ◽  
Roy Dong ◽  
Shreyas Sekar ◽  
Tanner Fiez

The increasingly tight coupling between humans and system operations in domains ranging from intelligent infrastructure to e-commerce has led to a challenging new class of problems founded on a well-established area of research: incentive design. There is a clear need for a new tool kit for designing mechanisms that help coordinate self-interested parties while avoiding unexpected outcomes in the face of information asymmetries, exogenous uncertainties from dynamic environments, and resource constraints. This article provides a perspective on the current state of the art in incentive design from three core communities—economics, control theory, and machine learning—and highlights interesting avenues for future research at the interface of these domains.


Author(s):  
Adam Yarmolinsky

Liberal education has always proved a challenge to deliver systematically, if only because by its very nature it is difficult to specify. In the United States, institutions that seek to offer liberal education on the threshold of a new century operate under new or, at least, significantly more chafing constraints. This article examines some of these constraints and suggests ways in which they can be relieved or accommodated. The principle constraints discussed here are those of shrinking material resources, expanding and accelerating expectations, and increasing heterogeneity across the student body. In the face of these constraints, academic institutions from small liberal arts colleges to large research universities are no better able than other institutions to adapt themselves to changing circumstances—and perhaps a little bit less so. Resource constraints stem from internal and external causes. The internal causes, I will argue, are the result of an economic anomaly. It is not possible for the direct delivery of liberal education to become significantly more efficient in the same way that other economic processes do, at least in part because liberal education is not something that can be "delivered": thus, there is a productivity lag behind other sectors in the economy. The institution cannot fully compensate for this lag by making improvements in the efficiency of other activities (e.g., computing or building maintenance). The external causes, in the public sector, arise from the insistent demands for other uses of public funds, combined with continued popular resistance to tax levels comparable to those of other industrial democracies. In the private sector, the external cause is the declining capacity (or willingness) of families and individual payers to meet even a partial share of the cost of liberal education. Other constraints result from expanding and accelerating expectations as students and their families demand that they be prepared for specific jobs or get a leg up on specific postgraduate professional training. In a sense this is the other side of the coin of employers' broader demand for higher education. As the proportion of jobs requiring undergraduate and graduate degrees has increased, the vocational aspect of higher education has increased accordingly.


Author(s):  
Erin Nelson ◽  
Karen Landman

Food hubs create a range of economic, social, and environmental impacts through a wide variety of activities and programs. Evaluation of these impacts is important; however, many hubs lack the capacity (including time, resources, knowledge, and expertise) to do effective, ongoing evaluation work. This lack of capacity is exacerbated by the difficul¬ties inherent in capturing the kinds of complex, multidimensional, context-specific impacts and outcomes that many of these businesses and organizations strive to achieve. This paper reports on a participatory research project designed to develop a resource to support food hub evaluation efforts. It presents highlights from the guide that was created and discusses associated insights regarding the tensions and opportunities of food hub evaluation. We argue that food hubs need to be engaging in evaluation efforts, even in the face of significant resource constraints, as a means of strengthening individual entities and the sector as a whole. These efforts must be carefully aligned with a hub’s stage of development and context-specific, multifunctional goals. They should also account for food hubs’ emergent, dynamic, and adaptive nature. To that end, participatory evaluation methodologies that take a flexible, collaborative, action-oriented approach are especially relevant.


2021 ◽  
Author(s):  
David Hong ◽  
Rounak Dey ◽  
Xihong Lin ◽  
Brian Cleary ◽  
Edgar Dobriban

AbstractLarge scale screening is a critical tool in the life sciences, but is often limited by reagents, samples, or cost. An important challenge in screening has recently manifested in the ongoing effort to achieve widespread testing for individuals with SARS-CoV-2 infection in the face of substantial resource constraints. Group testing methods utilize constrained testing resources more efficiently by pooling specimens together, potentially allowing larger populations to be screened with fewer tests. A key challenge in group testing is to design an effective pooling strategy. The global nature of the ongoing pandemic calls for something simple (to aid implementation) and flexible (to tailor for settings with differing needs) that remains efficient. Here we propose HYPER, a new group testing method based on hypergraph factorizations. We provide characterizations under a general theoretical model, and exhaustively evaluate HYPER and proposed alternatives for SARS-CoV-2 screening under realistic simulations of epidemic spread and within-host viral kinetics. We demonstrate that HYPER performs at least as well as other methods in scenarios that are well-suited to each method, while outperforming those methods across a broad range of resource-constrained environments, and being more flexible and simple in design, and taking no expertise to implement. An online tool to implement these designs in the lab is available at http://hyper.covid19-analysis.org.


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