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CooLSM: Distributed and Cooperative Indexing Across Edge and Cloud Machines

Natasha Mittal, Faisal Nawab

2021Year
4Citations
2Top-tier citations

Abstract

We tackle one of the fundamental data management challenges in edge-cloud computing, the problem of data indexing. We propose Cooperative LSM (CooLSM), a distributed Log-Structured Merge Tree that is designed to overcome the unique challenges of edge-cloud indexing such as machine and workload heterogeneity and the communication latency asymmetry between the edge and the cloud. To tackle these challenges, CooLSM deconstructs the LSM tree [23] into its basic parts. This deconstruction allows a better distribution and placement of resources across edge and cloud devices. For example, append-specific functionality is managed at the edge to ensure appending and serving data in real-time, whereas resource-intensive operations such as compaction and querying is managed at the cloud where more compute resources are available.

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