Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1145/3747846
Serverless computing has gained popularity for its ability to shift the burden of server management from developers to cloud providers, which allows providers to exercise greater control over resource management, optimizing configurations to enhance efficiency and performance. The diversity of serverless computing tasks, from short-lived, event-driven tasks to more complex workloads, highlights the growing importance of efficient file I/O performance for I/O-intensive workloads, yet effectively handling ephemeral storage for I/O-intensive tasks remains a challenge. Traditional file system approaches often introduce substantial latency and fail to fully leverage available memory resources within the execution environment, limiting performance and efficiency. Our work stems from the observation of the under-utilization of memory resources in serverless computing platforms and the potential efficiency improvement of I/O operations using an in-memory file system. Based on this observation, we propose Ephemera , a system designed to enhance ephemeral storage efficiency and memory utilization. Ephemera satisfies three design goals: transparent memory I/O integration , heterogeneous tasks resource synergy , and harmonized cluster workload orchestration . Ephemera integrates three components: the Runtime Daemon, responsible for managing a container’s in-memory file system; the Tenant Manager, facilitating memory configuration sharing across containers; and the Cluster Controller, optimizing workload balancing. Our experiments demonstrate that Ephemera significantly improves performance for I/O-intensive tasks compared to traditional file systems. Specifically, Ephemera decreases I/O processing time by 50% on average and reduces latency by up to 95.73% in certain scenarios with negligible overhead.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3747846
- OA Status
- diamond
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4412554211Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3747846Digital Object Identifier
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Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File SystemWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-07-22Full publication date if available
- Authors
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Lingxiao Jin, Zinuo Cai, H Wang, Zongpu Zhang, Ruhui Ma, Haibing Guan, Yuan Liu, Rajkumar BuyyaList of authors in order
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https://doi.org/10.1145/3747846Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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Computer science, Operating system, Ephemera, Parallel computing, File system, Embedded system, Art, Visual artsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4390921308, https://openalex.org/W4308426122, https://openalex.org/W4381327203, https://openalex.org/W4213358906, https://openalex.org/W4403489759, https://openalex.org/W4309647922, https://openalex.org/W4404401025, https://openalex.org/W2970215440, https://openalex.org/W4205761438, https://openalex.org/W4391623927, https://openalex.org/W6884630248, https://openalex.org/W4321495163, https://openalex.org/W4394923278, https://openalex.org/W4281633380, https://openalex.org/W3164810656, https://openalex.org/W2048402506, https://openalex.org/W4381612896, https://openalex.org/W4388041207, https://openalex.org/W4323644321, https://openalex.org/W2996705685, https://openalex.org/W4380881087, https://openalex.org/W4386774771, https://openalex.org/W3158545849, https://openalex.org/W4214690606, https://openalex.org/W2786276604, https://openalex.org/W4385623190, https://openalex.org/W4224313989, https://openalex.org/W4402570599, https://openalex.org/W3205898353, https://openalex.org/W4315977519, https://openalex.org/W4308426104, https://openalex.org/W4309647896, https://openalex.org/W4404343279, https://openalex.org/W4386363021, https://openalex.org/W4404400739, https://openalex.org/W3169457558, https://openalex.org/W4224307896, https://openalex.org/W2915032613, https://openalex.org/W4249299790, https://openalex.org/W2505839951, https://openalex.org/W4235985664, https://openalex.org/W4255729962, https://openalex.org/W4213153339, https://openalex.org/W4394907705, https://openalex.org/W4390075082 |
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