WebAssembly Modules as Alternative to Docker Containers in IoT Application Development
Bibliographic record
Abstract
Containers have been commonly used in recent years for application deployment in many fields of computing, including the Internet of Things (IoT). Thus, there is an opportunity for the use of WebAssembly (WASM) to improve application security and fault tolerance. Applications using WebAssembly expose small and purpose-built APIs to different application modules when combined with WASM’s strong sandboxing capabilities and increase application security under the principle of least privilege. Applications leverage the small startup time of WASM modules compared to Docker containers to create small unit-of-work-sized modules. These small, sandboxed modules can increase application fault tolerance when combined with providing modules with focused APIs. We investigated the viability of WASM as an alternative to Docker containers for IoT applications. Experiments were conducted to evaluate the overhead of WASM on heavy code throughput and latency. The results showed that WASM has a modest performance cost and provides secure application modularity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".