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Accepted WiPs

The following reports will be presented during the Work-in-Progress (WiP) session on Thursday, February 17, 2011, 2:00 p.m.–3:30 p.m., in Salon IV/V/VI.

New Cache Writeback Algorithms for Servers and Storage
Sorin Faibish, Peter Bixby, John Forecast, Philippe Armangau, and Sitaram Pawar, EMC
WiP PDF

OS Support for High-Performance NVMs using Vector Interfaces
Vijay Vasudevan and David G. Andersen, Carnegie Mellon University; Michael Kaminsky, Intel Labs
WiP PDF

PREFAIL: Programmable and Efficient Failure Testing Framework
Pallavi Joshi, Haryadi S. Gunawi, and Koushik Sen, University of California, Berkeley
WiP PDF

Don't Thrash: How to Cache your Hash on Flash
Michael A. Bender, Stony Brook University and Tokutek, Inc.; Martin Farach-Colton, Rutgers University and Tokutek, Inc.; Rob Johnson, Stony Brook University; Bradley C. Kuszmaul, MIT and Tokutek, Inc.; Dzejla Medjedovic, Stony Brook University; Pablo Montes, Pradeep Shetty, Richard P. Spillane, and Erez Zadok, Stony Brook University
WiP PDF

A File System for Storage Class Memory
Xiaojian Wu and A.L. Narasimha Reddy, Texas A&M University
WiP PDF

Repairing Erasure Codes
Dimitris S. Papailiopoulos and Alexandros G. Dimakis, University of Southern California
WiP PDF

Rewriting the storage stack for Big Data
A. Byde, G. Milos, T. Moreton, A. Twigg, T. Wilkie, and J. Wilkes, Acunu
WiP PDF

T2M: Converting I/O Traces to Workload Models
Vasily Tarasov, Koundinya Santhosh Kumar, and Erez Zadok, Stony Brook University; Geoff Kuenning, Harvey Mudd College
WiP PDF

Skyline-enabled Storage System
H. Howie Huang and Nan Zhang, George Washington University
WiP PDF

Load-Aware Replay of I/O Traces
Sankaran Sivathanu, Georgia Institute of Technology; Jinpyo Kim and Devaki Kulkarni, VMware Inc.; Ling Liu, Georgia Institute of Technology
WiP PDF

Flash SSD Oriented IO Management for Data Intensive Applications
Yongkun Wang, Kazuo Goda, Miyuki Nakano, and Masaru Kitsuregawa, The University of Tokyo
WiP PDF

A Novel Nested Qos Model for Efficient Resource Usage in Storage Servers
Hui Wang and Peter Varman, Rice University
WiP PDF

Reading from a Write Optimized Parallel File System Under Highly Concurrent Shared File Workloads
Adam Manzanares, Los Alamos National Laboratory; Milo Polte, Carnegie Mellon University; Meghan Wingate and John Bent, Los Alamos National Laboratory; Garth Gibson, Carnegie Mellon University
WiP PDF

OrangeFS: Advancing PVFS
Michael Moore, David Bonnie, Walt Ligon, Nicholas Mills, and Shuangyang Yang, Clemson University; Becky Ligon, Mike Marshall, Elaine Quarles, Sam Sampson, and Boyd Wilson, Omnibond Systems
WiP PDF

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Last changed: 14 Feb. 2011 jel