Topographic and meteorological influences on spatial scaling of heavy convective rainfall in mountainous regions

Characterizing the spatial scaling and dynamics of convective precipitation in mountainous terrain and the development of downscaling methods to transfer precipitation fields from one scale to another is the overall motivation for this research. Substantial progress has been made on characterizing the space-time organization of Midwestern convective systems and tropical rainfall, which has led to the development of statistical/dynamical downscaling models. Space-time analysis and downscaling of orographic precipitation has received less attention due to the complexities of topographic influences. This study uses multiscale statistical analysis to investigate the spatial scaling of organized thunderstorms that produce heavy rainfall and flooding in mountainous regions. Focus is placed on the eastern and western slopes of the Appalachian region and the Front Range of the Rocky Mountains. Parameter estimates are analyzed over time and attention is given to linking changes in the multiscale parameters with meteorological forcings and orographic influences on the rainfall. Influences of geographic regions and predominant orographic controls on trends in multiscale properties of precipitation are investigated. Spatial resolutions from 1 km to 50 km are considered. This range of spatial scales is needed to bridge typical scale gaps between distributed hydrologic models and numerical weather prediction (NWP) forecasts and attempts to address the open research problem of scaling organized thunderstorms and convection in mountainous terrain down to 1-4 km scales.

Radical Verses: Aku Päiviö's Literary Influence on the Finnish Working-Class

Aku Päiviö was one of the most influential voices of the Finnish labor movement in North America—a poet who also wrote plays and novels, and an editor who worked for a variety of newspapers across the United States and Canada. During the height of the Finnish socialist movement from around 1904-1916, Päiviö published a number of poems that identified with the actions and ideologies of the working-class. He also edited for newspapers such as Kansan Lehti and Raivaaja, further extending his literary reach. Despite his prodigious publications and influence, however, little of Päiviö’s writing has been translated into English. This paper celebrates Päiviö’s legacy with some English translations of his poems, specifically those commemorating the 1913-14 Michigan Copper Strike, and illuminates how various thematic and structural relationships in these poems relate to the ideologies and movements of the time.

Preparing writing centers and tutors for literacy mediation for working class campus-staff

Writing centers work with writers; traditionally services have been focused on undergraduates taking composition classes. More recently, centers have started to attract a wider client base including: students taking labs that require writing; graduate students; and ESL students learning the conventions of U.S. communication. There are very few centers, however, which identify themselves as open to working with all members of the campus-community. Michigan Technological University has one such center. In the Michigan Tech writing center, doors are open to “all students, faculty and staff.” While graduate students, post docs, and professors preparing articles for publication have used the center, for the first time in the collective memory of the center UAW staff members requested center appointments in the summer of 2008. These working class employees were in the process of filling out a work related document, the UAW Position Audit, an approximately seven-page form. This form was their one avenue for requesting a review of the job they were doing; the review was the first step in requesting a raise in job level and pay. This study grew out of the realization that implicit literacy expectations between working class United Auto Workers (UAW) staff and professional class staff were complicating the filling out and filing of the position audit form. Professional class supervisors had designed the form as a measure of fairness, in that each UAW employee on campus was responding to the same set of questions about their work. However, the implicit literacy expectations of supervisors were different from those of many of the employees who were to fill out the form. As a result, questions that were meant to be straightforward to answer were in the eyes of the employees filling out the form, complex. Before coming to the writing center UAW staff had spent months writing out responses to the form; they expressed concerns that their responses still would not meet audience expectations. These writers recognized that they did not yet know exactly what the audience was expecting. The results of this study include a framework for planning writing center sessions that facilitate the acquisition of literacy practices which are new to the user. One important realization from this dissertation is that the social nature of literacy must be kept in the forefront when both planning sessions and when educating tutors to lead these sessions. Literacy scholars such as James Paul Gee, Brian Street, and Shirley Brice Heath are used to show that a person can only know those literacy practices that they have previously acquired. In order to acquire new literacy practices, a person must have social opportunities for hands-on practice and mentoring from someone with experience. The writing center can adapt theory and practices from this dissertation that will facilitate sessions for a range of writers wishing to learn “new” literacy practices. This study also calls for specific changes to writing center tutor education.

Memory resource balancing for virtualized computing

Virtualization has become a common abstraction layer in modern data centers. By multiplexing hardware resources into multiple virtual machines (VMs) and thus enabling several operating systems to run on the same physical platform simultaneously, it can effectively reduce power consumption and building size or improve security by isolating VMs. In a virtualized system, memory resource management plays a critical role in achieving high resource utilization and performance. Insufficient memory allocation to a VM will degrade its performance dramatically. On the contrary, over-allocation causes waste of memory resources. Meanwhile, a VM’s memory demand may vary significantly. As a result, effective memory resource management calls for a dynamic memory balancer, which, ideally, can adjust memory allocation in a timely manner for each VM based on their current memory demand and thus achieve the best memory utilization and the optimal overall performance. In order to estimate the memory demand of each VM and to arbitrate possible memory resource contention, a widely proposed approach is to construct an LRU-based miss ratio curve (MRC), which provides not only the current working set size (WSS) but also the correlation between performance and the target memory allocation size. Unfortunately, the cost of constructing an MRC is nontrivial. In this dissertation, we first present a low overhead LRU-based memory demand tracking scheme, which includes three orthogonal optimizations: AVL-based LRU organization, dynamic hot set sizing and intermittent memory tracking. Our evaluation results show that, for the whole SPEC CPU 2006 benchmark suite, after applying the three optimizing techniques, the mean overhead of MRC construction is lowered from 173% to only 2%. Based on current WSS, we then predict its trend in the near future and take different strategies for different prediction results. When there is a sufficient amount of physical memory on the host, it locally balances its memory resource for the VMs. Once the local memory resource is insufficient and the memory pressure is predicted to sustain for a sufficiently long time, a relatively expensive solution, VM live migration, is used to move one or more VMs from the hot host to other host(s). Finally, for transient memory pressure, a remote cache is used to alleviate the temporary performance penalty. Our experimental results show that this design achieves 49% center-wide speedup.