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With rapid improvements in NVM storage devices, the performance bottleneck isgradually shifting to the network, thus giving rise to the notion of "datamovement wall". To reduce the amount of data movement over the network,researchers have proposed near-data computing by shipping operations andcompute-extensions closer to storage devices. However, running arbitrary,user-provided extensions in a shared, disaggregated storage environmentpresents multiple challenges regarding safety, isolation, and performance.Instead of approaching this problem from scratch, in this work we make a casefor leveraging the Linux kernel eBPF framework to program disaggregated NVMstorage devices. eBPF offers a safe, verifiable, and high-performance way ofexecuting untrusted, user-defined code in a shared runtime. In this paper, wedescribe our experiences building a first prototype that supports remoteoperations on storage using eBPF, discuss the limitations of our approach, anddirections for addressing them.

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF