DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gouk, Donghyun | ko |
dc.contributor.author | Kwon, Miryeong | ko |
dc.contributor.author | Bae, Hanyeoreum | ko |
dc.contributor.author | Jung, Myoungsoo | ko |
dc.date.accessioned | 2024-09-11T15:00:07Z | - |
dc.date.available | 2024-09-11T15:00:07Z | - |
dc.date.created | 2023-10-23 | - |
dc.date.issued | 2024-03-04 | - |
dc.identifier.citation | The 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024 | - |
dc.identifier.uri | http://hdl.handle.net/10203/322918 | - |
dc.description.abstract | Processing data in storage is an energy-efficient solution to examine massive datasets. However, a general incarnation of such well-known task-offloading model in a real system is unfortunately unsuccessful due to not only poor performance but also many practical challenges, such as limited processing capabilities and high vulnerabilities at the storage-level. We propose DockerSSD, a fully flexible in-storage processing (ISP) model that can run a variety of applications near flash without their source-level modification. Specifically, it enables lightweight OS-level virtualization in modern SSDs, which allows the storage intelligence to be well harmonized with existing computing environment and makes ISP even faster. Instead of developing a vendor-specific ISP to offload, DockerSSD can reuse existing Docker images, create containers as a self-governing execution object in storage, and process data directly where they are in real-time. To this end, we design a new communication method and virtual firmware that operate together to download Docker images and manage their container execution without a change of the existing storage interface and runtime. We further accelerate ISP and reduce the execution latency by automating container-related network and I/O handling data paths over hardware. Our evaluation results show that DockerSSD exhibits 2.0× faster than state-of-the-art ISP models while 1.6× and 2.3× lower power and energy, respectively. | - |
dc.publisher | IEEE Computer Society | - |
dc.title | DockerSSD: Containerized In-Storage Processing and Hardware Acceleration for Computational SSDs | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | The 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024 | - |
dc.identifier.conferencecountry | SC | - |
dc.identifier.conferencelocation | Edinburgh, Scotland | - |
dc.contributor.localauthor | Jung, Myoungsoo | - |
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