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  1. No Access

    Chapter and Conference Paper

    The Adaptable IO System (ADIOS)

    The Adaptable I/O System (ADIOS) provides a publish/subscribe abstraction for data access and storage. The framework provides various engines for producing and consuming data through different mediums (storage...

    David Pugmire, Norbert Podhorszki in In Situ Visualization for Computational Sc… (2022)

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    Chapter and Conference Paper

    Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2

    This paper aims to create a transition path from file-based IO to streaming-based workflows for scientific applications in an HPC environment. By using the openPMP-api, traditional workflows limited by filesys...

    Franz Poeschel, Juncheng E, William F. Godoy in Driving Scientific and Engineering Discove… (2022)

  3. No Access

    Chapter and Conference Paper

    Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing

    Fusion energy experiments and simulations provide critical information needed to plan future fusion reactors. As next-generation devices like ITER move toward long-pulse experiments, analyses, including AI and...

    Jong Choi, Ruonan Wang, R. Michael Churchill in Driving Scientific and Engineering Discove… (2020)

  4. No Access

    Chapter and Conference Paper

    VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications

    Data-Intensive infrastructures are increasingly used for on-line processing of live data to guide operations and decision making. VScope is a flexible monitoring and analysis middleware for troubleshooting suc...

    Chengwei Wang, Infantdani Abel Rayan, Greg Eisenhauer, Karsten Schwan in Middleware 2012 (2012)

  5. No Access

    Article

    DataStager: scalable data staging services for petascale applications

    Known challenges for petascale machines are that (1) the costs of I/O for high performance applications can be substantial, especially for output tasks like checkpointing, and (2) noise from I/O actions can in...

    Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky in Cluster Computing (2010)

  6. No Access

    Article

    Middleware for enterprise scale data stream management using utility-driven self-adaptive information flows

    We consider enterprise-wide information flows that are responsible for acquiring, processing and delivering operational information across the business units. Middleware that enables such aggregation of data-...

    Vibhore Kumar, Brian F. Cooper, Zhongtang Cai, Greg Eisenhauer in Cluster Computing (2007)

  7. Chapter and Conference Paper

    iManage: Policy-Driven Self-management for Enterprise-Scale Systems

    It is obvious that big, complex enterprise systems are hard to manage. What is not obvious is how to make them more manageable. Although there is a growing body of research into system self-management, many te...

    Vibhore Kumar, Brian F. Cooper, Greg Eisenhauer, Karsten Schwan in Middleware 2007 (2007)

  8. Chapter and Conference Paper

    Utility-Driven Proactive Management of Availability in Enterprise-Scale Information Flows

    Enterprises rely critically on the timely and sustained delivery of information. To support this need, we augment information flow middleware with new functionality that provides high levels of availability to...

    Zhongtang Cai, Vibhore Kumar, Brian F. Cooper, Greg Eisenhauer in Middleware 2006 (2006)

  9. No Access

    Article

    Open Metadata Formats: Efficient XML-Based Communication for High Performance Computing

    High-performance computing faces considerable change as the Internet and the Grid mature. Applications that once were tightly-coupled and monolithic are now decentralized, with collaborating components spread ...

    Patrick Widener, Greg Eisenhauer, Karsten Schwan, Fabián E. Bustamante in Cluster Computing (2002)

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    Chapter and Conference Paper

    KECho— Event Communication for Distributed Kernel Services

    Event services have received increased attention as scalable tools for the composition of large-scale, distributed systems, as evidenced by their successful deployment in interactive multimedia applications an...

    Christian Poellabauer, Karsten Schwan in Trends in Network and Pervasive Computing … (2002)

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    Article

    Event Services in High Performance Systems

    The Internet and the Grid are changing the face of high performance computing. Rather than tightly-coupled SPMD-style components running in a single cluster, on a parallel machine, or even on the Internet prog...

    Greg Eisenhauer, Fabián E. Bustamante, Karsten Schwan in Cluster Computing (2001)