OSSD: A case for object-based solid state drives

Lee, Young-Sik; Kim, Sang-Hoon; Lee, Jaesoo; Park, Chanik; Maeng, Seungryoul

doi:10.1109/msst.2013.6558448

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…Application related information is allowed to be exchanged through the object interface and this provides for performance benefits and object-level reliability. Lee et al [18] implemented a SSD based object storage system, where the attributes and I/O usage information is stored as metadata. Muninn is an objectbased versioning key-value store [15] to enable transparent versioning on file systems.…”

Section: Related Workmentioning

confidence: 99%

Toward Transparent Data Management in Multi-Layer Storage Hierarchy of HPC Systems

Wadhwa

Byna

Butt

2018

2018 IEEE International Conference on Cloud Engineering (IC2E)

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Abstract-Upcoming exascale high performance computing (HPC) systems are expected to comprise multi-tier storage hierarchy, and thus will necessitate innovative storage and I/O mechanisms. Traditional disk and block-based interfaces and file systems face severe challenges in utilizing capabilities of storage hierarchies due to the lack of hierarchy support and semantic interfaces. Object-based and semantically-rich data abstractions for scientific data management on large scale systems offer a sustainable solution to these challenges. Such data abstractions can also simplify users involvement in data movement. In this paper, we take the first steps of realizing such an object abstraction and explore storage mechanisms for these objects to enhance I/O performance, especially for scientific applications. We explore how an object-based interface can facilitate next generation scalable computing systems by presenting the mapping of data I/O from two real world HPC scientific use cases: a plasma physics simulation code (VPIC) and a cosmology simulation code (HACC). Our storage model stores data objects in different physical organizations to support data movement across layers of memory/storage hierarchy. Our implementation sclaes well to 16K parallel processes, and compared to the state of the art, such as MPI-IO and HDF5, our object-based data abstractions and data placement strategy in multi-level storage hierarchy achieves up to 7× I/O performance improvement for scientific data.

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Section: Related Workmentioning

confidence: 99%

Toward Transparent Data Management in Multi-Layer Storage Hierarchy of HPC Systems

Wadhwa

Byna

Butt

2018

2018 IEEE International Conference on Cloud Engineering (IC2E)

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“…Due to large storage space, we set a low clean chunk threshold to quickly initiate garbage collection. The reclaimed chunk is selected in a greedy manner: The chunk with the fewest valid pages is selected for reclamation (Lee et al 2013).…”

Section: Simulation Setupmentioning

confidence: 99%

“…Compared with the previous works, our proposed design can more effectively mitigate the write amplification with very minimum memory usage. Lee et al (2013) proposed object-aware data placement and hot/cold data separation techniques in ONFD to reduce write and deletion overhead. Our proposed design can work together with Lee et al (2013) to further improve write performance.…”

Section: Related Workmentioning

confidence: 99%

Improving Write Performance and Extending Endurance of Object-Based NAND Flash Devices

Guo

Min

Cai

et al. 2017

ACM Trans. Embed. Comput. Syst.

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Write amplification is a major cause of performance and endurance degradations in NAND flash-based storage systems. In an object-based NAND flash device (ONFD), two causes of write amplification are onode partial update and cascading update. Here, onode is a type of small-sized object metadata, and multiple onodes are stored in one NAND flash page. Updating one onode invokes partial page update (i.e., onode partial update), incurring unnecessary migration of the un-updated data. Cascading update denotes updating object metadata in a cascading manner due to object data update or migration. Although there are only several bytes that need to be updated in the object metadata, one or more pages have to be rewritten accordingly. In this work, we propose a system design to alleviate the write amplification issue in the object-based NAND flash device. The proposed design includes (1) a multi-level garbage collection technique to minimize unnecessary data migration incurred by onode partial update and (2) a B+ table tree, Semantics-Aware Flexible (SAF) data layout, and selective cache design to reduce the write operations associated with cascading update. To guarantee system consistency, we also propose a power failure handling technique. Experiment results show that our proposed design can achieve up to 20% write reduction compared to the best states of the art.

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ActiveSort: Efficient external sorting using active SSDs in the MapReduce framework

Lee

Quero

Kim

et al. 2016

Future Generation Computer Systems

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OSSD: A case for object-based solid state drives

Cited by 12 publications

References 15 publications

Toward Transparent Data Management in Multi-Layer Storage Hierarchy of HPC Systems

Toward Transparent Data Management in Multi-Layer Storage Hierarchy of HPC Systems

Improving Write Performance and Extending Endurance of Object-Based NAND Flash Devices

ActiveSort: Efficient external sorting using active SSDs in the MapReduce framework

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