PDL EVENT

15th Annual
WORKSHOP & RETREAT
November 5 - 7, 2007


PRESENTATIONS



WELCOME AND INTRODUCTION

Greg Ganger - Parallel Data Lab Research and Retreat Overview 2007
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Randy Bryant, CMU - Data Intensive Super Computing
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SESSION I: Predictability and Utility

Bianca Schroeder - Disk Failures in the Real World: Data Corruption in the Storage Stack
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Raja Sambasivan - Diagnosing Performance Problems in Distributed Systems
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Soila Kavulya - Sherlock: Fingerpointing Problems in Distributed Systems
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SESSION II: Automation and Usability for Storage

John Strunk - Using Utility for Storage Provisioning and Tuning
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Brandon Salmon - Perspective: View-based Home Storage
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Lorrie Cranor - Usable Storage Security
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SESSION III: Short Work-In-Progress Talks

Rob Reeder - Expandable Grids for Visualizing Security and Privacy Policies
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Mike Abd-El-Malek - File System Virtual Machines
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Tudor Dumitraş - On-line Upgrades in Large-scale Distributed Systems
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Milo Polte - Metadata-indexed Cluster Filesystems
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SESSION IV: Storage and Networking

David Andersen - Flexible and Efficient Data Transfers with DOT
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Amar Phanishayee - TCP Throughput Collapse in Cluster-based Storage Systems
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SESSION V: Fault Tolerance

Joe Slember - Lazy and Efficient Convergence in Nondeterministic Applications
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James Hendricks - Low-overhead Byzantine Fault-tolerant Storage
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SESSION VI: Scaling Metadata Services

Swapnil Patil - GIGA+: Scalable Directories for Shared File Systems
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Shafeeq Sinnamohideen - Eliminating Cross-server Operations in Scalable Storage Systems
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SESSION VII: More Work-In-Progress Talks

Ippokratis Pandis - Scalable Staged Transaction Processing in Chip Multiprocessors
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Julio Lopez - DISC: Data-Intensive Super Computing -- Initial Experience and Future Directions
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Garth Gibson - PDSI Status and Plans
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SESSION VIII: When Workloads Mix

David McWherter - Performance Modeling: How to Share Your DBMS Greedily
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Matthew Wachs - Argon: Performance Insulation for Shared Storage Servers
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SESSION IX: Database Implementation Techniques

Ryan Johnson - To Share or Not to Share?
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Debabrata Dash - Efficient Use of the Query Optimizer for Automated Physical Design
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