WIP: Pods: Privacy Compliant Scalable Decentralized Data Services

Author:

Spenger Jonas,Carbone Paris,Haller Philipp

Publisher

Springer International Publishing

Reference23 articles.

1. Akidau, T., et al.: Millwheel: fault-tolerant stream processing at internet scale. Proc. VLDB Endow. 6(11), 1033–1044 (2013). https://doi.org/10.14778/2536222.2536229, http://www.vldb.org/pvldb/vol6/p1033-akidau.pdf

2. Akidau, T., et al.: The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proc. VLDB Endow. 8(12), 1792–1803 (2015). https://doi.org/10.14778/2824032.2824076, http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf

3. Lecture Notes in Computer Science;E Arfelt,2019

4. Burckhardt, S., Gillum, C., Justo, D., Kallas, K., McMahon, C., Meiklejohn, C.S.: Serverless workflows with durable functions and netherite. CoRR abs/2103.00033 (2021). https://arxiv.org/abs/2103.00033

5. California Legislature: California consumer privacy act of 2018 (CCPA) (2018). https://leginfo.legislature.ca.gov/faces/codes_displayText.xhtml?division=3.&part=4.&lawCode=CIV&title=1.81.5

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1. Splice: Efficiently Removing a User's Data from In-memory Application State;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

2. Portals: An Extension of Dataflow Streaming for Stateful Serverless;Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software;2022-11-29

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