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STAN Current State and Future Work Scalable Hardware-Aided Trusted Data Management Nico Weichbrodt, 2019-09-03/04 Moving Databases to the Cloud Everyone moves to the cloud Higher scalability and availability But: no trust in the cloud


  1. STAN – Current State and Future Work Scalable Hardware-Aided Trusted Data Management Nico Weichbrodt, 2019-09-03/04

  2. Moving Databases to the Cloud Everyone moves to the cloud Higher scalability and availability But: no trust in the cloud provider → Trusted Execution with Intel SGX ⇒ DBMS needs to be adapted 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 2

  3. Intel SGX Recap Enclave are isolated compartments Enclave Confidentiality and integrity protection Special memory area for enclaves: EPC Application EPC size very small: ≈ 93 MiB on current hardware There are plans to increase this Memory Layout of enclaves fixed after creation NEW : SGXv2 add/remove/change permissions of pages after enclave creation 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 3

  4. Previous Research Efficiently handling data inside an SGX enclave SGX-aware virtual memory engine Prototype based on SQLite → STANlite (Sartakov et al., IC2E 2018) Analysing SGX performance overhead Trace enclave transitions Give recommendations on how to improve performance → sgx-perf (Weichbrodt et al. Middleware 2018) Reducing database memory footprint inside enclave Decomposing of applications into features Dynamically load and unload features into/out of enclaves → Adaptive SGX-enabled Systems (Krieter et al. VaMoS 2019) 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 4

  5. Work Program Status – 1.5 Years Later WP3: Proactive Working Set Management (TUB) Prefetching experiments, ≈ 20% performance inc. in best case Not evaluated further WP4: Extended Code Generation for Secure Interaction (TUB/HSH) No automatic partitioning sgx-perf code recommendations WP5: System Support for Integrity Preservation (TUB) STANlite virtual memory engine WP6: Trust-aware DBMS Architecture (HSH) Adaptive SGX-enabled Systems with dynamic loading ⇒ First Half done 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 5

  6. Current Research Current dynamic loading has a couple issues ✗ Not thread safe, no global objects ✗ Not a real dynamic linker (no linking of jumps/calls) ✗ Function pointer ownership problems ✗ Based on SGXv1 with executable heap ⇒ New version called sgx-dl Fix all issues above and use SGXv2 NEW: Hot-Patching for functions 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 6

  7. Architecture sgx-dl is a simple library linked into the enclave SXG SDK has preliminary support for SGXv2 We have our own additional changes (<100 SLOC driver, <1000 SDK) All issues fixed: thread safe ✓ , support for global object ✓ , no fixed memory layout ✓ , no function pointers ✓ , no executable heap ✓ New issues No function pointers and unloading results in a lot of checks → performance overhead ✗ Optimisation: Everything is always loaded mode 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 7

  8. Language Support sgx-dl is language agnostic, it loads ELF files In theory, everything that uses/supports C ABI should work Complete (tested) support for C and its features ✓ Loaded functions that are dynamically called need to have signature void *fctname(void *args) like pthread threads Some support for C++ ✓ SGX C++ standard library exists, but we did not really test this Rudimentary support for Rust ✗ No Rust standard library so only [no_std] code is supported Baidu Rust SGX SDK might work here 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 8

  9. Hot-Patching Problem: Enclave is potentially large (almost or even bigger than EPC size) Patches need to be applied → restart needed Encrypt state, save to disk, restart enclave, reload state and decrypt Solution: Hot-Patching of the affected functions, no restart needed Only possible for already dynamic functions 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 9

  10. First Benchmarks System: Intel NUC7PJYH2, Intel Pentium Silver, 4x 1.5GHz (SGXv2 capable) SGXv2 only available with Gemini Lake so far Skyhawk Lake: 2020 Cooper Lake: 2020, SGX on multi-socket servers 8 GiB memory, SSD Microbenchmark: Tiny enclave, measure call overhead to dynamic functions Load three functions, call one, this one calls the other two Enclave restart time: 0.13 s These enclaves are tiny so we don’t save that much time 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 10

  11. Microbechmark Hot-Patching/Calling Overhead Microbenchmark simple function executions enclave restart vs hot patching Threads: 1 4000 Baseline Patching (Optimised) Patching (All Checks) 3500 3000 function executions since last timestamp SAMPLE RATE = 100000 cycles 2500 2000 1500 1000 500 0 0 5x10 7 1x10 8 1.5x10 8 2x10 8 2.5x10 8 3x10 8 timestamp counter 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 11

  12. Macrobenchmark Small enclave (fits EPC) STANlite (SQLite) with dynamic functions in SQL-VM add/sub/mul/div/mod No changes made to state machine except argument un-/wrapping State is already encrypted in untrusted memory, so no state saving needed, just additional code to set the pointers right This is actually bad for us, as it reduces the benefit of hot-patching Enclave restart time: 0.8 s 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 12

  13. Macrobenchmark Hot-Patching/Calling Overhead Macrobenchmark STANlite enclave restart vs hot patching Query: SELECT ID, A, B, A+B FROM BENCH ORDER BY ID ASC LIMIT 1 Rows: 100,000 35 Baseline Patching 30 25 SAMPLE RATE = 1000000 cycles SELECTS since last timestamp 20 15 10 5 0 0 2x10 9 4x10 9 6x10 9 8x10 9 1x10 10 timestamp counter 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 13

  14. Macrobenchmark Speedtest2 (small dataset) 10 baseline with dynamic loading Execution Time ( Seconds ) 8 6 4 2 0 100 110 120 130 140 145 150 160 161 170 180 190 210 230 240 250 260 270 280 290 300 310 320 980 990 Name of Experiment Adapted from STANlite 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 14

  15. Next steps Publish sgx-dl Current conference target: EuroSys 2020, deadline November Nicer benchmarks/more applications Enclaves that don’t fit EPC, make more functions of SQLite dynamic Integrate with a DBMS e.g., MonetDB Next Round Distributed Secure Computing – Intel SGX Card (3x E3-1585L v5 with PCIe interconnect) SGX multi-socket servers RDMA + SGX + DPDK or similar 2019-09-03/04 Nico Weichbrodt STAN – Current State and Future Work Page 15

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