INFLOW 2013 - 1st SOSP Workshop of 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.
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
Dilma Da Silva, Qualcomm
Jin-Soo Kim, KAIST, Korea
Vijayan Prabhakaran, Microsoft Research
Michael Swift, University of Wisconsin
Bhuvan Urgaonkar, The Pennsylvania State University
Carlos Varela, Rensselaer Polytechnic Institute
Lamia Youseff, Google
Erez Zadok Stony, Brook University