World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
16679
World Ranking
1804
National Ranking
912

Overview

Karsten Schwan was affiliated with the Georgia Institute of Technology in the United States. Their academic career focused on various aspects of computing and technology, contributing to the research landscape of their institution and beyond.

While detailed records of their recent publications, co-authors, and specific fields of study are not available, the scientist's profile is characterized by an absence of listed recent papers or explicit topics. This implies that available public bibliographic data about their specific research outputs or collaborations is limited or not recorded in the accessible datasets.

Similarly, information regarding awards and recognitions received during their career is absent from the records. No publication venues or book publishing data have been reported, indicating that any contribution to journals or academic books is either minimal, not catalogued, or otherwise unavailable in the source references.

Although no explicit main fields, subfields, or main topics of work were documented, Karsten Schwan's association with the Georgia Institute of Technology suggests involvement in fields related to computing and technology, given the institution's strengths and research focus areas.

Best Publications

  • VirtualPower: coordinated power management in virtualized enterprise systems

    Ripal Nathuji;Karsten Schwan

  • Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS)

    Jay F. Lofstead;Scott Klasky;Karsten Schwan;Norbert Podhorszki

  • GViM: GPU-accelerated virtual machines

    Vishakha Gupta;Ada Gavrilovska;Karsten Schwan;Harshvardhan Kharche

  • DataStager: scalable data staging services for petascale applications

    Hasan Abbasi;Matthew Wolf;Greg Eisenhauer;Scott Klasky

  • DataStager: scalable data staging services for petascale applications

    Hasan Abbasi;Matthew Wolf;Greg Eisenhauer;Scott Klasky

  • High performance and scalable I/O virtualization via self-virtualized devices

    Himanshu Raj;Karsten Schwan

  • Falcon: on-line monitoring and steering of large-scale parallel programs

    Weiming Gu;G. Eisenhauer;E. Kraemer;K. Schwan

  • Robust and flexible power-proportional storage

    Hrishikesh Amur;James Cipar;Varun Gupta;Gregory R. Ganger

  • Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks

    Qing Liu;Jeremy Logan;Yuan Tian;Hasan Abbasi

  • PreDatA – preparatory data analytics on peta-scale machines

    Fang Zheng;Hasan Abbasi;Ciprian Docan;Jay Lofstead

  • Managing Variability in the IO Performance of Petascale Storage Systems

    Jay Lofstead;Fang Zheng;Qing Liu;Scott Klasky

  • Data tiering in heterogeneous memory systems

    Subramanya R. Dulloor;Amitabha Roy;Zheguang Zhao;Narayanan Sundaram

  • Adaptable, metadata rich IO methods for portable high performance IO

    Jay Lofstead;Fang Zheng;Scott Klasky;Karsten Schwan

  • Statistical techniques for online anomaly detection in data centers

    Chengwei Wang;Krishnamurthy Viswanathan;Lakshminarayan Choudur;Vanish Talwar

  • NVRAM-aware logging in transaction systems

    Jian Huang;Karsten Schwan;Moinuddin K. Qureshi

  • On adaptive resource allocation for complex real-time applications

    D. Rosu;K. Schwan;S. Yalamanchili;R. Jha

  • vManage: loosely coupled platform and virtualization management in data centers

    Sanjay Kumar;Vanish Talwar;Vibhore Kumar;Parthasarathy Ranganathan

  • VPM tokens: virtual machine-aware power budgeting in datacenters

    Ripal Nathuji;Karsten Schwan;Ankit Somani;Yogendra Joshi

  • VM power metering: feasibility and challenges

    Bhavani Krishnan;Hrishikesh Amur;Ada Gavrilovska;Karsten Schwan

  • Dynamic scheduling of hard real-time tasks and real-time threads

    K. Schwan;H. Zhou

  • Six degrees of scientific data: reading patterns for extreme scale science IO

    Jay Lofstead;Milo Polte;Garth Gibson;Scott Klasky

  • Robust and Flexible Power-Proportional Storage (CMU-PDL-10-106)

    Hrishikesh Amur;James Cipar;Varun Gupta;Gregory R. Ganger

Frequent Co-Authors

Scott Klasky
Scott Klasky Oak Ridge National Laboratory
Norbert Podhorszki
Norbert Podhorszki Oak Ridge National Laboratory
Fabián E. Bustamante
Fabián E. Bustamante Northwestern University
Vanish Talwar
Vanish Talwar Facebook (United States)
Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
Beth Plale
Beth Plale Indiana University
Richard M. Fujimoto
Richard M. Fujimoto Georgia Institute of Technology
Manish Parashar
Manish Parashar University of Utah
Sudhakar Yalamanchili
Sudhakar Yalamanchili Georgia Institute of Technology
Calton Pu
Calton Pu Georgia Institute of Technology

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