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Schedule: November 12-18th 2005
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FreeLoader: Scavenging Desktop Storage Resources for Scientific Data

Session: Storage and Data

Event Type: Paper

Time: 4:30pm - 5:00pm

Session Chair: Erik Riedel

Speaker(s): Sudharshan Vazhkudai, Xiaosong Ma, Vincent Freeh, Jonathan Strickland, Nandan Tammineedi, Stephen Scott

Location: 602-604


High-end computing is suffering a data deluge from experiments, simulations, and apparatus that creates overwhelming application dataset sizes. End-user workstations—despite more processing power than ever before—are ill-equipped to cope with such data demands due to insufficient secondary storage space and I/O rates. Meanwhile, a large portion of desktop storage is unused. We present the FreeLoader framework, which aggregates unused desktop storage space and I/O bandwidth into a shared cache/scratch space, for hosting large, immutable datasets and exploiting data access locality. Our experiments show that FreeLoader is an appealing low-cost solution to storing massive datasets, by delivering higher data access rates than traditional storage facilities. In particular, we present novel data striping techniques that allow FreeLoader to efficiently aggregate a workstation’s network communication bandwidth and local I/O bandwidth. In addition, the performance impact on the native workload of donor machines is small and can be effectively controlled.

This paper can be found in the ACM and IEEE Digital Libaries
Click here for ACM
Click here for IEEE

Chair/Speaker Details:

Erik Riedel (Chair)
Seagate Research

Sudharshan Vazhkudai
Oak Ridge National Laboratory

Xiaosong Ma
North Carolina State University and Oak Ridge National Lab

Vincent Freeh
North Carolina State University

Jonathan Strickland
North Carolina State University

Nandan Tammineedi
North Carolina State University

Stephen Scott
Oak Ridge National Laboratory