Sven Oehme

age ~48

from Colorado Springs, CO

Also known as:
  • Sven Ochme

Sven Oehme Phones & Addresses

  • Colorado Springs, CO
  • Parker, CO
  • Morgan Hill, CA
  • Santa Clara, CA

Work

  • Company:
    Ddn storage
    Jul 2018
  • Position:
    Chief research officer

Skills

Storage • Nas • High Availability • Virtualization • Cloud Computing • Cluster • Storage Area Networks • Aix • San • Unix • Distributed Systems • Shell Scripting • Linux • Data Center • Enterprise Architecture • Server Architecture • Red Hat Linux • Storage Virtualization • Perl • Network Attached Storage • Solaris • Operating Systems • Disaster Recovery • System Architecture • Vmware • Solution Architecture • Redhat • Vmware Infrastructure • High Performance Computing • Rhel • Apache • Tsm • Linux System Administration • File Systems • Ibm Aix • Unix Shell Scripting • Tcp/Ip • Vmware Esx • Netapp • Storage Management • Enterprise Storage • Ldap • Storage Area Network • Systems Management • Nfs

Languages

German • English

Industries

Information Technology And Services

Isbn (Books And Publications)

Subsidiaries of German Firms in the U.S. 1994/95/Tochtergesellschaften Deutscher Untermehmen in Den USA 1994

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Author
Sven C. Oehme

ISBN #
0866400494

Resumes

Sven Oehme Photo 1

Chief Research Officer

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Location:
Parker, CO
Industry:
Information Technology And Services
Work:
Ddn Storage
Chief Research Officer

Ibm Almaden Research Center Apr 2017 - Jun 2018
Stsm and Chief Research Strategist Elastic Storage

Ibm Jul 2012 - Apr 2017
Chief Research Strategist Elastic Storage

Ibm Dec 2009 - Jul 2012
Senior Sw Development Architect - Scale-Out Storage

Ibm Jan 2007 - Jan 2008
Development Leader Oesv
Skills:
Storage
Nas
High Availability
Virtualization
Cloud Computing
Cluster
Storage Area Networks
Aix
San
Unix
Distributed Systems
Shell Scripting
Linux
Data Center
Enterprise Architecture
Server Architecture
Red Hat Linux
Storage Virtualization
Perl
Network Attached Storage
Solaris
Operating Systems
Disaster Recovery
System Architecture
Vmware
Solution Architecture
Redhat
Vmware Infrastructure
High Performance Computing
Rhel
Apache
Tsm
Linux System Administration
File Systems
Ibm Aix
Unix Shell Scripting
Tcp/Ip
Vmware Esx
Netapp
Storage Management
Enterprise Storage
Ldap
Storage Area Network
Systems Management
Nfs
Languages:
German
English

Us Patents

  • Reducing A Backup Time Of A Backup Of Data Files

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  • US Patent:
    20120254117, Oct 4, 2012
  • Filed:
    Apr 1, 2011
  • Appl. No.:
    13/078413
  • Inventors:
    Gregory T. Kishi - Oro Valley AZ, US
    Sven Oehme - Morgan Hill CA, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 12/16
    G06F 17/30
  • US Classification:
    707640, 707E17005
  • Abstract:
    A mechanism is provided for reducing the backup time of data files from a memory. Data files are pre-staged by identifying the data files in the memory to be backed up to a backup storage system, sorting the data files by size thereby forming a set of small data files and a set of large data files, and copying the set of small data files to a cache while leaving the set of large data files in a disk subsystem. The set of small data files are then backed-up from the cache and the set of large data files are backed-up from the disk subsystem to a backup storage system. Thus, the time required to backup the set of small data files from the cache is performed at a faster rate as compared to backing up the set of large data files from the disk subsystem.
  • Reducing A Backup Time Of A Backup Of Data Files

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  • US Patent:
    20130173555, Jul 4, 2013
  • Filed:
    Feb 27, 2013
  • Appl. No.:
    13/778745
  • Inventors:
    International Business Machines Corporation - Armonk NY, US
    Sven Oehme - Morgan Hill CA, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 17/30
  • US Classification:
    707654
  • Abstract:
    A mechanism is provided for reducing the backup time of data files from a memory. Data files are pre-staged by identifying the data files in the memory to be backed up to a backup storage system, sorting the data files by size thereby forming a set of small data files and a set of large data files, and copying the set of small data files to a cache while leaving the set of large data files in a disk subsystem. The set of small data files are then backed-up from the cache and the set of large data files are backed-up from the disk subsystem to a backup storage system. Thus, the time required to backup the set of small data files from the cache is performed at a faster rate as compared to backing up the set of large data files from the disk subsystem.
  • Highly Scalable And Distributed Data Sharing And Storage

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  • US Patent:
    20120158882, Jun 21, 2012
  • Filed:
    Dec 17, 2010
  • Appl. No.:
    12/971129
  • Inventors:
    Sven Oehme - San Jose CA, US
    Marc Thadeus Roskow - Los Gatos CA, US
    Stephen Leonard Schwartz - Tucson AZ, US
    Anna W. Topol - Jefferson Valley NY, US
    Daniel James Winarski - Tucson AZ, US
  • Assignee:
    INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
  • International Classification:
    G06F 15/167
  • US Classification:
    709213
  • Abstract:
    Embodiments of the disclosure relate to storing and sharing data in a scalable distributed storing system using parallel file systems. An exemplary embodiment may comprise a network, a storage node coupled to the network for storing data, a plurality of application nodes in device and system modalities coupled to the network, and a parallel file structure disposed across the storage node and the application nodes to allow data storage, access and sharing through the parallel file structure. Other embodiments may comprise interface nodes for accessing data through various file access protocols, a storage management node for managing and archiving data, and a system management node for managing nodes in the system.
  • Policy-Based, Multi-Scheme Data Reduction For Computer Memory

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  • US Patent:
    20180336219, Nov 22, 2018
  • Filed:
    Jul 27, 2018
  • Appl. No.:
    16/047322
  • Inventors:
    - ARMONK NY, US
    Marc A. Kaplan - Lake Worth FL, US
    Leo Luan - Saratoga CA, US
    Sven Oehme - Morgan Hill CA, US
    Wayne A. Sawdon - San Jose CA, US
    Frank B. Schmuck - Campbell CA, US
  • International Classification:
    G06F 17/30
  • Abstract:
    Embodiments relate to policy-based, multi-scheme data reduction for a computer memory. An aspect includes receiving a plurality of policy rules by a policy engine of the computer memory, wherein a first policy rule specifies applying a first data reduction scheme to data in the computer memory based on the data matching first characteristics, wherein a second policy rule specifies applying a second data reduction scheme to data in the computer memory based on the data matching second characteristics, wherein the first data reduction scheme is different from the second data reduction scheme. Another aspect includes determining, by the policy engine, that first data in the computer memory matches the first characteristics, and that second data in the computer memory matches the second characteristics. Yet another aspect includes applying the first data reduction scheme to the first data, and applying the second data reduction scheme to the second data.
  • Dynamically Managing A High Speed Storage Tier Of A Data Storage System

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  • US Patent:
    20180285370, Oct 4, 2018
  • Filed:
    Mar 30, 2017
  • Appl. No.:
    15/475012
  • Inventors:
    - Armonk NY, US
    Marc A. Kaplan - Bethel CT, US
    Sven Oehme - Morgan Hill CA, US
    Wayne A. Sawdon - San Jose CA, US
  • International Classification:
    G06F 17/30
  • Abstract:
    A computer-implemented method according to one embodiment includes identifying an event associated with a high speed storage tier of a data storage system, determining a policy rule that is triggered in response to the event, and implementing one or more data management actions associated with the high speed storage tier according to the policy rule.

Youtube

DDN's Sven Oehme on the Future of Parallel Fi...

In depth interview with The Next Platform and DDN's Chief Research Off...

  • Duration:
    21m 22s

Securing AI and ML Projects, A Next Generatio...

The urgency with which organizations are looking to roll out transform...

  • Duration:
    31m 36s

Global Forum 2017 - Sven Oehme

  • Duration:
    38s

SC18: Tackling the Technical Challenges of Mo...

Tackling the Technical Challenges of Modern Workloads Presented by Sve...

  • Duration:
    19m 29s

Big Lab Problems Solved with Spectrum Scale: ...

In this video from the DDN User Group at SC16, Sven Oehme Chief Resear...

  • Duration:
    24m 4s

File Oct 10, 8 40 25 PM

Sven Oehme Global Forum 2017.

  • Duration:
    38s

Mylife

Sven Oehme Photo 2

Sven Oehme New York NY

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Reunite with Sven Oehme. It's easy to find friends, co-workers, and classmates you've lost touch with over the years at MyLife.

Plaxo

Sven Oehme Photo 3

Sven Oehme

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Almaden ResearchSenior SW Development Architect Scale-out Storage...

Facebook

Sven Oehme Photo 4

Sven Oehme

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Sven Oehme Photo 5

Sven Oehme

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