InftyDedup: Scalable and Cost-Effective Cloud Tiering with Deduplication
Iwona Kotlarska, Andrzej Jackowski, Krzysztof Lichota, Michal Welnicki, Cezary Dubnicki, Konrad Iwanicki
Abstract
Cloud tiering is the process of moving selected data from on-premise storage to the cloud, which has recently become important for backup solutions. As subsequent backups usually contain repeating data, deduplication in cloud tiering can significantly reduce cloud storage utilization, and hence costs.
In this paper, we introduce InftyDedup, a novel system for cloud tiering with deduplication. Unlike existing solutions, it maximizes scalability by utilizing cloud services not only for storage but also for computation. Following a distributed batch approach with dynamically assigned cloud computation resources, InftyDedup can deduplicate multi-petabyte backups from multiple sources at costs on the order of a couple of dollars. Moreover, by selecting between hot and cold cloud storage based on the characteristics of each data chunk, our solution further reduces the overall costs by up to 26%-44%. InftyDedup is implemented in a state-of-the-art commercial backup system and evaluated in the cloud of a hyperscaler.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 3821c58f-3e0a-46d8-a8f4-6e475f805b8dCited by top-tier papers4
- Revisiting Network Coding for Warm Blob StorageChuang Gan, Yuchong Hu, Leyan Zhao, Xin Zhao et al.FAST 2025 · 9 citations
- Caribou: Fine-Grained Geospatial Shifting of Serverless Applications for SustainabilityViktor Urban Gsteiger, Pin Hong (Daniel) Long, Yiran (Jerry) Sun, Parshan Javanrood et al.SOSP 2024 · 9 citations
- Don't Maintain Twice, It's Alright: Merged Metadata Management in Deduplication File System with GogetaFSYanqi Pan, Wen Xia, Erci Xu, Hao Huang et al.FAST 2025 · 6 citations
- Reducing Cross-Cloud/Region Costs with the Auto-Configuring MACARON CacheHojin Park, Ziyue Qiu, Gregory R. Ganger, George AmvrosiadisSOSP 2024 · 3 citations
Builds on3
- GoSeed: Generating an Optimal Seeding Plan for Deduplicated StorageAviv Nachman, Gala Yadgar, Sarai SheinvaldFAST 2020 · 19 citations
- The what, The from, and The to: The Migration Games in Deduplicated SystemsRoei Kisous, Ariel Kolikant, Abhinav Duggal, Sarai Sheinvald et al.FAST 2022 · 12 citations
- DUPEFS: Leaking Data Over the Network With Filesystem Deduplication Side ChannelsAndrei Bacs, Saidgani Musaev, Kaveh Razavi, Cristiano Giuffrida et al.FAST 2022 · 12 citations
Related papers
- TiDedup: A New Distributed Deduplication Architecture for CephMyoungwon Oh, Sungmin Lee, Samuel Just, Youngjin Yu et al.USENIX ATC 2023 · 23 citations
- Automating Distributed Tiered Storage Management in Cluster ComputingHerodotos Herodotou, Elena KakoulliVLDB 2020 · 30 citations
- The Dilemma between Deduplication and Locality: Can Both be Achieved?Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia et al.FAST 2021 · 45 citations
- Towards Optimizing Storage Costs on the CloudKoyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh et al.ICDE 2023 · 8 citations
- Once Rolling Hashing is Enough: Exploiting Rolling Hash Reuse in Delta CompressionHaoliang Tan, Wenhao Ou, Xiangyu Zou, Cai Deng et al.EuroSys 2026 · 1 citation
