WedgeChain: A Trusted Edge-Cloud Store With Asynchronous (Lazy) Trust
Faisal Nawab
Abstract
We propose WedgeChain, a data store that spans both edge and cloud nodes (an edge-cloud system). WedgeChain consists of a logging layer and a data indexing layer. In this study, we encounter two challenges: (1) edge nodes are untrusted and potentially malicious, and (2) edge-cloud coordination is expensive. WedgeChain tackles these challenges by the following proposals:
(1) Lazy (asynchronous) certification: where data is committed at the untrusted edge and then lazily certified at the cloud node. This lazy certification method takes advantage of the observation that an untrusted edge node is unlikely to act maliciously if it knows it will be detected (and punished) eventually. Our lazy certification method guarantees that malicious acts (i.e., lying) are eventually detected. (2) Data-free certification: our lazy certification method only needs to send digests of data to the cloud-instead of sending all data to the cloud-which enables saving network and cloud resources and reduce costs. (3) LSMerkle: we extend a trusted index (mLSM [32]) to enable indexing data at the edge while utilizing lazy and data-free certification.
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Install the CLIlune papers fulltext 22cd94da-b6d1-4410-9720-4eba5abac589Cited by top-tier papers3
- Dissecting BFT Consensus: In Trusted Components we Trust!Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks et al.EuroSys 2023 · 27 citations
- Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud SystemsSamaa Gazzaz, Vishal Chakraborty, Faisal NawabICDE 2022 · 12 citations
- CooLSM: Distributed and Cooperative Indexing Across Edge and Cloud MachinesNatasha Mittal, Faisal NawabICDE 2021 · 4 citations
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