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#IODA RATES HOW TO#
#IODA RATES SOFTWARE#

In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2013. Preemptible I/O Scheduling of Garbage Collection for Solid State Drives.

Pre-emptive Garbage Collection of Memory Blocks.

#IODA RATES SOFTWARE#

In IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2011. A Semi-Preemptive Garbage Collector for Solid State Drives. Shipman, Sarp Oral, Feiyi Wang, and Jongman Kim. In Proceedings of the 15th USENIX Symposium on File and Storage Technologies (FAST), 2017. LightNVM: The Linux Open-Channel SSD Subsystem. Matias Bjørling, Javier Gonzalez, and Philippe Bonnet.In Proceedings of the 16th USENIX Symposium on File and Storage Technologies (FAST), 2018. The CASE of FEMU: Cheap, Accurate, Scalable and Extensible Flash Emulator. Huaicheng Li, Mingzhe Hao, Michael Hao Tong, Swaminathan Sundararaman, Matias Bjørling, and Haryadi S.ACM Transactions on Storage (TOS), 1(1), 2021. RAIL: Predictable, Low Tail Latency for NVMe Flash. Heiner Litz, Javier Gonzalez, Ana Klimovic, and Christos Kozyrakis.In Proceedings of the 8th ACM Symposium on Cloud Computing (SoCC), 2017. Latency Reduction and Load Balancing in Coded Storage Systems. Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, and Cheng Huang.In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2016. EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding. Rashmi, Mosharaf Chowdhury, Jack Kosaian, Ion Stoica, and Kannan Ramchandran. In Proceedings of the 17th USENIX Symposium on File and Storage Technologies (FAST), 2019. Fully Automatic Stream Management for Multi-Streamed SSDs Using Program Contexts. Taejin Kim, Duwon Hong, Sangwook Shane Hahn, Myoungjun Chun, Sungjin Lee, Jooyoung Hwang, Jongyoul Lee, and Jihong Kim.Data Set Management Commands Proposal for ATA8-ACS2.Using Software to Reduce High Tail Latencies on SSDs. Chris Petersen, Wei Zhang, and Alexei Naberezhnov.In Proceedings of the 19th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2014. SDF: Software-Defined Flash for Web-Scale Internet Storage System.

Jian Ouyang, Shiding Lin, Song Jiang, Zhenyu Hou, Yong Wang, and Yuanzheng Wang.In IEEE International Symposium on Workload Characterization (IISWC), 2019.

Trimming the Tail for Deterministic Read Performance in SSDs.

Nima Elyasi, Changho Choi, Anand Sivasubramaniam, Jingpei Yang, and Vijay Balakrishnan.

Tiny-Tail Flash: Near-Perfect Elimination of Garbage Collection Tail Latencies in NAND SSDs.

Shiqin Yan, Huaicheng Li, Mingzhe Hao, Michael Hao Tong, Swaminathan Sundararaman, Andrew A.

Ross Stenfort, Ta-Yu Wu, and Lee Prewitt.

Achieve Consistent Low Latency for Your Storage-Intensive Workloads.

Micron 9100 U.2 and HHHL NVMe PCIe SSDs.

All-Flash NVMe Reference Architecture.

Why Deterministic Storage Performance is Important.

Communications of the ACM (CACM), 56(2), 2013.

Luiz Barroso, Mike Marty, David Patterson, and Parthasarathy Ranganathan.

IODA is also the nearest to the ideal, no disturbance case compared to 7 state-of-the-art preemption, suspension, GC coordination, partitioning, tiny-tail flash controller, prediction, and proactive approaches. Our evaluation shows that IODA improves the 95-99.99th latencies by up to 75x. Overall, IODA only adds 5 new fields to the NVMe interface and a small modification in the flash firmware, while keeping most of the complexity in the host OS. In the case of concurrent internal operations, IODA introduces busy remaining time exposure and predictable-latency-window formulation to guarantee predictable data reconstructions. In IODA, SSDs are expected to quickly fail an I/O on purpose to allow predictable I/Os through proactive data reconstruction. IODA exploits data redundancy in the context of IOD for a strong latency predictability contract. We present IODA, an I/O deterministic flash array design built on top of small but powerful extensions to the IOD interface for easy deployment.

#IODA RATES HOW TO#

While promising, challenges remain on how to exploit it for truly predictable performance. To combat this issue, the recent NVMe IO Determinism (IOD) interface advocates host-level controls to SSD internal management tasks. Predictable latency on flash storage is a long-pursuit goal, yet, unpredictability stays due to the unavoidable disturbance from many well-known SSD internal activities.