Towards Optimal I/O Scheduling for MEMS-Based Storage
MSS '03 Proceedings of the 20 th IEEE/11 th NASA Goddard Conference on Mass Storage Systems and Technologies (MSS'03)
Optimizing Probe-Based Storage
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
MEMS-based Storage Devices and Standard Disk Interfaces: A Square Peg in a Round Hole?
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
Using MEMS-based storage in computer systems---MEMS storage architectures
ACM Transactions on Storage (TOS)
Using MEMS-based storage in computer systems---device modeling and management
ACM Transactions on Storage (TOS)
An overview on MEMS-based storage, its research issues and open problems
SNAPI '04 Proceedings of the international workshop on Storage network architecture and parallel I/Os
Workload-based configuration of MEMS-based storage devices for mobile systems
EMSOFT '08 Proceedings of the 8th ACM international conference on Embedded software
Power management of MEMS-based storage devices for mobile systems
CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
P/PA-SPTF: Parallelism-aware request scheduling algorithms for MEMS-based storage devices
ACM Transactions on Storage (TOS)
Optimizing probe-based storage
FAST'03 Proceedings of the 2nd USENIX conference on File and storage technologies
MEMS-based storage devices and standard disk interfaces: a square peg in a round hole?
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
A new address mapping scheme for high parallelism MEMS-Based storage devices
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
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Magnetic disks may be reaching physical performance limits due to the superparamagneticeffect. To close the performance gap between processors and storage,researchers are exploring a variety of new storage technologies [17]. Among thesenew technologies, probe-based micro-electrical mechanical systems (MEMS) magneticstorage arrays are attractive [3]. Probe-based storage is dense and highly parallel.It uses rectilinear motion in contrast to rotating media. Commercial devices areexpected within the next several years.The wide range of possible architectures and the unique performance characteristicsof probe-based storage require that standard file system algorithms for disks,including scheduling and layout, must be revisited to determine their efficiency domain.Because these devices do not yet exist, analysis of system performance dependson simulation models. At this early stage of development, models that bridge thegap between the physics of the device and its performance characteristics can provideimportant feedback to both hardware and software designers.This paper compares results from three models of probe-based storage that conveysuccessively more accurate descriptions of the underlying physics. We conclude thatthe physical accuracy of the model has a significant impact on the predicted performanceunder real workloads.