The Big Data Interagency Working Group (BD IWG) works to facilitate and further the goals of the White House Big Data R&D Initiative.
The CPS IWG is to coordinate programs, budgets, and policy recommendations for Cyber Physical Systems (CPS) research and development (R&D).
Cyber Security and Information Assurance (CSIA) Interagency Working Group coordinates the activities of the CSIA Program Component Area.
The Health Information Technology Research and Development Interagency Working Group coordinates programs, budgets and policy recommendations for Health IT R&D.
HCI&IM focuses on information interaction, integration, and management research to develop and measure the performance of new technologies.
HCSS R&D supports development of scientific foundations and enabling software and hardware technologies for the engineering, verification and validation, assurance, and certification of complex, networked, distributed computing systems and cyber-physical systems (CPS).
The HEC IWG coordinates the activities of the High End Computing (HEC) Infrastructure and Applications (I&A) and HEC Research and Development (R&D) Program Component Areas (PCAs).
LSN members coordinate Federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance.
The purpose of the SPSQ IWG is to coordinate the R&D efforts across agencies that transform the frontiers of software science and engineering and to identify R&D areas in need of development that span the science and the technology of software creation and sustainment.
Formed to ensure and maximize successful coordination and collaboration across the Federal government in the important and growing area of video and image analytics
The Wireless Spectrum R&D (WSRD) Interagency Working Group (IWG) has been formed to coordinate spectrum-related research and development activities across the Federal government.
Integrating Clouds and Cyberinfrastructure: Research Challenges
Manish Parashar, Rutgers University, email@example.com
Geoffrey Fox, Indiana University, firstname.lastname@example.org
Kate Keahey, Argonne National Laboratory
Aggressive Cloud computing technology development has resulted in many multiple classes of Cloud services that provide attractive solutions for many different types of business applications. It is expected that Cloud services will join more traditional research cyber infrastructure (CI) components, such as high-performance computing system, clusters and Grids in supporting scientific exploration and discovery. It is clear from current research that there are real benefits in using Clouds and Cloud computing abstractions as part of a hybrid cyber infrastructure to support CDS&E, for example, to simplify the deployment of applications and the management of their execution, improve their efficiency, effectiveness and/or productivity, and provide more attractive cost/performance ratios. Furthermore, Clouds and Cloud computing abstractions can support new classes of algorithms and enable new applications formulations, which can potentially revolutionize CDS&E research and education. However, before CDS&E can fully realize the potential benefits of a hybrid cyber infrastructure that integrates Cloud services, several research issues remain. The objective of this report is to explore these research challenges. Note that the discussion below is from the CDS&E perspective and is complementary to more general Cloud research challenges.
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