Scalable Resource Management in High Performance Computers £

Abstract Clusters of workstations have emerged as an importan

Analyzing the EGEE production grid workload: application to jobs submission optimization

International audienceGrids reliability remains an order of magnitude below clusters on production infrastructures. This work is aims at improving grid application performances by improving the job submission system. A stochastic model, capturing the behavior of a complex grid workload management system is proposed. To instantiate the model, detailed statistics are extracted from dense grid activity traces. The model is exploited in a simple job resubmission strategy. It provides quantitative inputs to improve job submission performance and it enables quantifying the impact of faults and outliers on grid operations

Shasta and Athapascan myths from Oregon

Gerald W. Williams Collectio

Gender Differences in Collaboration Patterns in Computer Science

The research discipline of computer science (CS) has a well-publicized gender disparity. Multiple studies estimate the ratio of women among publishing researchers to be around 15–30%. Many explanatory factors have been studied in association with this gender gap, including differences in collaboration patterns. Here, we extend this body of knowledge by looking at differences in collaboration patterns specific to various fields and subfields of CS. We curated a dataset of nearly 20,000 unique authors of some 7000 top conference papers from a single year. We manually assigned a field and subfield to each conference and a gender to most researchers. We then measured the gender gap in each subfield as well as five other collaboration metrics, which we compared to the gender gap. Our main findings are that the gender gap varies greatly by field, ranging from 6% female authors in theoretical CS to 42% in CS education; subfields with a higher gender gap also tend to exhibit lower female productivity, larger coauthor groups, and higher gender homophily. Although women published fewer single-author papers, we did not find an association between single-author papers and the ratio of female researchers in a subfield

Multifactor Citation Analysis over Five Years: A Case Study of SIGMETRICS Papers

Performance evaluation is a broad discipline within computer science, combining deep technical work in experimentation, simulation, and modeling. The field’s subjects encompass all aspects of computer systems, including computer architecture, networking, energy efficiency, and machine learning. This wide methodological and topical focus can make it difficult to discern what attracts the community’s attention and how this attention evolves over time. As a first attempt to quantify and qualify this attention, using the proxy metric of paper citations, this study looks at the premier conference in the field, SIGMETRICS. We analyze citation frequencies at monthly intervals over a five-year period and examine possible associations with myriad other factors, such as time since publication, comparable conferences, peer review, self-citations, author demographics, and textual properties of the papers. We found that in several ways, SIGMETRICS is distinctive not only in its scope, but also in its citation phenomena: papers generally exhibit a strongly linear rate of citation growth over time, few if any uncited papers, a large gamut of topics of interest, and a possible disconnect between peer-review outcomes and eventual citations. The two most-cited papers in the dataset also exhibit larger author teams, higher than typical self-citations, and distinctive citation growth curves. These two papers, sharing some coauthors and a research focus, could either signal the area where SIGMETRICS had the most research impact, or they could represent outliers; their omission from the analysis reduces some of the otherwise distinctive observed metrics to nonsignificant levels

Contributions to a Tutelo Vocabulary

LoC Subject Headings: Tutelo language--Glossaries, vocabularies, etc. LoC Class: PM250