Design and Implementation of a Virtual Platform of Solid-State Disks

Lee, Ying-Chieh; Kuo, Chin-Ting; Chang, Li-Pin

doi:10.1109/les.2012.2213795

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…Lee and Kuo [4] used a RAM disk as a faster storage backend, in this manner they could emulate any device that is slower than the system RAM. The disadvantage of this approach is that RAM is often small and expensive, which makes it impractical for simulating large devices.…”

Section: Related Workmentioning

confidence: 99%

Freezing Time: A New Approach for Emulating Fast Storage Devices Using VM

Bona

Elias

Ziviani

et al. 2018

2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS

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Section: Related Workmentioning

confidence: 99%

Freezing Time: A New Approach for Emulating Fast Storage Devices Using VM

Bona

Elias

Ziviani

et al. 2018

2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS

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“…A typical design uses the RAID-style striping over channels [Park et al 2012;Seong et al 2010;Nam et al 2011]. Because logical sectors do not migrate among channels under the RAID-style striping, we believe that our buffer algorithm can easily be extended to the multichannel architecture.…”

Section: Resultsmentioning

confidence: 99%

Plugging Versus Logging

Chang

2015

ACM Trans. Embed. Comput. Syst.

Self Cite

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A promising technique to improve the write performance of solid-state disks (SSDs) is to use a disk write buffer. The goals of a write buffer is not only to reduce the write traffic to the flash chips but also to convert host write patterns into long and sequential write bursts. This study proposes a new buffer design consisting of a replacement policy and a write-back policy. The buffer monitors how the host workload stresses the flash translation layer upon garbage collection. This is used to dynamically adjust its replacement and writeback strategies for a good balance between write sequentiality and write randomness. When the garbage collection overhead is low, the write buffer favors high write sequentiality over low write randomness. When the flash translation layer observes a high overhead of garbage collection, the write buffer favors low write randomness over high write sequentiality. The proposed buffer design outperformed existing approaches by up to 20% under various workloads and flash translation algorithms, as will be shown in experiment results. ACM Reference Format:Li-Pin Chang, Yo-Chuan Su, and I-Chen Wu. 2015. Plugging versus logging: Adaptive buffer management for hybrid-mapping SSDs.

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“…A storage emulator also will affect the latency and throughput observed as it takes time to process the requested I/O. One approach for such an emulator is to use the main memory as a backend (Lee et al 2012). However, its capacity is still at least an order of magnitude smaller than that of storage devices.…”

Section: Introductionmentioning

confidence: 99%

“…The evaluation shows we were able to emulate disks with RAM like speeds with an overhead of less than 25% in I/O request time while keeping precision as high as 94% on average. Lee et al (2012) is presented an emulation technique based on using a RAM disk as the storage backend. One of the disadvantages is that memory is small and expensive, so it can only execute small workloads.…”

Section: Introductionmentioning

confidence: 99%

Freezing time emulating new and faster devices with virtual machines

et al. 2020

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Recent proposals of emerging data storage devices make it necessary to reevaluate all levels of the storage hierarchy to optimize the software stack performance. However, these new devices are not always widely available and therefore early experiments may be impossible. Emulators aim at mimicking as close as possible the behavior of a component, nonetheless, emulating new and fast storage devices is a challenging task due to time perception. In this work, we propose an approach to emulate storage devices using virtual machines (VMs) allowing the evaluation of a new device within a real system. We use a technique called freezing time, which pauses a VM to manipulate its clock and hide the real I/O completion time. Our approach is implemented at the hypervisor level and it is transparent to the guest operating system or application. We evaluate the technique under a real system using regular magnetic disks to emulate faster storage devices. Our method presented a latency error of 6.5% compared to a real device. Moreover, decoupled experiment between two laboratories, at the Barcelona Super Computing Center (BSC) in Spain, and the Center of Computer Science and Free Software (C3SL) in Brazil, demonstrated that our approach is reproducible and promising to allow the virtual evaluation of next-gen storage devices.

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Design and Implementation of a Virtual Platform of Solid-State Disks

Cited by 5 publications

References 2 publications

Freezing Time: A New Approach for Emulating Fast Storage Devices Using VM

Freezing Time: A New Approach for Emulating Fast Storage Devices Using VM

Plugging Versus Logging

Freezing time emulating new and faster devices with virtual machines

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