INFLOW '13: Interactions of NVM/Flash with Operating-Systems and Workloads

The goal of INFLOW'13 is to bring together researchers and practitioners working in systems, across the hardware/software stack, who are interested in the cross-cutting issues of NVM/Flash technologies, Operating Systems, and emerging Workloads.

In recent years, NVM based storage devices have been gaining popularity as a medium of storage. Flash based SSDs in particular have had a widespread adoption by the industry driven by the need for greater storage performance. NVM storage devices have dramatically different properties than conventional hard disks. Yet, most of these devices are still exposed to operating systems as block-level devices similar to hard disks. There are still several fundamental research issues to be explored on how to efficiently interface with NVM and Flash based storage devices, and the implications of such devices in large scale workload deployments and on emerging workloads such as Analytics applications. The INFLOW Workshop is an attempt to bring top researchers across the World to exchange ideas and discuss recent innovations related to NVM/Flash technologies and their interactions with Operating systems and workloads, and doing this in the context of current enterprises and consumer markets.

Checkout the CFP, website, and submission site.

Contact Information

Please contact with any questions.

Important Dates

Paper submission deadline: July 8, 2013 (EXTENDED)
Acceptance notification: July 26, 2013
Camera-ready deadline: August 26, 2013
Conference: November 3, 2013


We invite research papers from all areas of Flash SSD and its interactions with operating systems and workloads. Major Areas of interests include, but are not limited to:

  • Operating systems support for Flash and other NVM technologies
  • New filesystem / storage software design ideas to support Flash
  • Virtualization trends for SSD storage
  • Application/OS optimizations tailored for Flash storage unique properties
  • Application/OS optimizations tailored for other NVM technologies
  • SSD caching techniques
  • Workload characterization using NV
  • Hybrid SSD technologies and their implications on workloads
  • Acceleration techniques for Flash Storage and NVM technologies
  • Flash SSD and NVM in Cloud Computing

Workshop Organizers

Program Co-chairs

  • Gokul Kandiraju, IBM T. J. Watson Research Center
  • Kaoutar El Maghraoui, IBM T. J. Watson Research Center

Program Committee

  • Ricardo Bianchini, Rutgers University
  • Peter Desnoyers, Northeastern University
  • Michael Factor, IBM Research, Haifa, Israel
  • Sudhanva Gurumurthy, University of Virginia & AMD
  • Youngjae Kim, Oak Ridge National Labs
  • Dilma Da Silva, Qualcomm
  • Jin-Soo Kim, KAIST, Korea
  • Vijayan Prabhakaran, Microsoft Research
  • Michael Swift, University of Wisconsin
  • Carlos Varela, Rensselaer Polytechnic Institute
  • Lamia Youseff, Google
  • Erez Zadok Stony, Brook University

  • Platinum Sponsors

    • The Murty
      Family Foundation
  • Gold Sponsors

    • Apple
  • Silver Sponsors

  • Bronze Sponsors