Survey and Analysis of Production Distributed Computing Infrastructures

This report has two objectives. First, we describe a set of the production distributed infrastructures currently available, so that the reader has a basic understanding of them. This includes explaining why each infrastructure was created and made available and how it has succeeded and failed. The set is not complete, but we believe it is representative. Second, we describe the infrastructures in terms of their use, which is a combination of how they were designed to be used and how users have found ways to use them. Applications are often designed and created with specific infrastructures in mind, with both an appreciation of the existing capabilities provided by those infrastructures and an anticipation of their future capabilities. Here, the infrastructures we discuss were often designed and created with specific applications in mind, or at least specific types of applications. The reader should understand how the interplay between the infrastructure providers and the users leads to such usages, which we call usage modalities. These usage modalities are really abstractions that exist between the infrastructures and the applications; they influence the infrastructures by representing the applications, and they influence the ap- plications by representing the infrastructures

Knowledge-based Expressive Technologies within Cloud Computing Environments

Presented paper describes the development of comprehensive approach for knowledge processing within e-Sceince tasks. Considering the task solving within a simulation-driven approach a set of knowledge-based procedures for task definition and composite application processing can be identified. This procedures could be supported by the use of domain-specific knowledge being formalized and used for automation purpose. Within this work the developed conceptual and technological knowledge-based toolbox for complex multidisciplinary task solv-ing support is proposed. Using CLAVIRE cloud computing environment as a core platform a set of interconnected expressive technologies were developed.Comment: Proceedings of the 8th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). 201

Report of the 2015 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure

This event was supported in part by the National Science Foundation under Grant Number 1234408. Any opinions, findings, and conclusions or recommendations expressed at the event or in this report are those of the authors and do not necessarily reflect the views of the National Science Foundation

Quality of service based data-aware scheduling

Distributed supercomputers have been widely used for solving complex computational problems and modeling complex phenomena such as black holes, the environment, supply-chain economics, etc. In this work we analyze the use of these distributed supercomputers for time sensitive data-driven applications. We present the scheduling challenges involved in running deadline sensitive applications on shared distributed supercomputers running large parallel jobs and introduce a ``data-aware\u27\u27 scheduling paradigm that overcomes these challenges by making use of Quality of Service classes for running applications on shared resources. We evaluate the new data-aware scheduling paradigm using an event-driven hurricane simulation framework which attempts to run various simulations modeling storm surge, wave height, etc. in a timely fashion to be used by first responders and emergency officials. We further generalize the work and demonstrate with examples how data-aware computing can be used in other applications with similar requirements

National Science Foundation Advisory Committee for Cyberinfrastructure Task Force on Campus Bridging Final Report

The mission of the National Science Foundation (NSF) Advisory Committee on Cyberinfrastructure (ACCI) is to advise the NSF as a whole on matters related to vision and strategy regarding cyberinfrastructure (CI). In early 2009 the ACCI charged six task forces with making recommendations to the NSF in strategic areas of cyberinfrastructure: Campus Bridging; Cyberlearning and Workforce Development; Data and Visualization; Grand Challenges; High Performance Computing (HPC); and Software for Science and Engineering. Each task force was asked to offer advice on the basis of which the NSF would modify existing programs and create new programs. This document is the final, overall report of the Task Force on Campus Bridging.National Science Foundatio

Infrastructuring: Toward an Integrated Perspective on the Design and Use of Information Technology

In this contribution, we investigate how results from the ongoing discussion about e-Infrastructures can be used to improve the design of IT infrastructures in organizations. We first establish a perspective on organizational IT as work infrastructure that focuses on the infrastructural nature of organizational Information Systems and describe challenges for designing within and for this type of infrastructure. Then we elaborate on possible use of concepts from the e-infrastructure discussion, in particular on the concept of infrastructuring as it was developed by Star and Ruhleder (1996) and Star and Bowker (2002). Using their “salient characteristics of infrastructure” we describe the methodological approach of Infrastructuring to develop methodological and tool support for all stakeholders’ activities that contribute to the successful establishment of an information system usage (equivalent to a work infrastructure improvement). We illustrate our ideas by drawing on a case in which new work infrastructures are introduced into an organizational context and by mapping out existing and possible tool support for infrastructuring

E-Science as a Catalyst for Transformational Change in University Research Libraries: A Dissertation

Changes in how research is conducted, from the growth of e-science to the emergence of big data, have lead to new opportunities for librarians to become involved in the creation and management of research data, at the same time the duties and responsibilities of university libraries continue to evolve. This study examines those roles related to e-science while exploring the concept of transformational change and leadership issues in bringing about such a change. Using the framework established by Levy and Merry for first- and second-order change, four case studies of libraries whose institutions are members in the Association of Research Libraries (ARL) are developed. The case studies highlight why the libraries became involved in e-science, the role librarians are assuming related to data management education and policy, and the provision of e-science programs and services. Each case study documents the structural and programmatic changes that have occurred in a library to provide e-science services and programs, the future changes library leaders are working to implement, and the change management process used by managerial leaders to bringing about, and permanently embed those changes into the library culture. Themes such as vision, team leadership, the role of library administrators, skills of library staff, and fostering a learning organization are discussed in the context of e-science and leading transformational change. The transformational change included a change in culture, organization paradigm, and redefining the role of the university research library

Research Data Management Principles, Practices, and Prospects

This report examines how research institutions are responding to data management requirements of the National Science Foundation, National Institutes of Health, and other federal agencies. It also considers what role, if any, academic libraries and the library and information science profession should have in supporting researchers’ data management needs. University of North Texas (UNT) Library Director Martin Halbert opens the report with an overview of the DataRes Project, a two-year investigation of data management practices conducted at UNT with colleagues Spencer D. C. Keralis, Shannon Stark, and William E. Moen. His introduction is followed by a series of papers that were presented at the DataRes Symposium that UNT organized in December 2012