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Found 5 papers, 3 papers with code
A Learning-Based Caching Mechanism for Edge Content Delivery
Improved byte hit rates at the edge not only alleviate the load on the network backbone but also minimize operational costs and expedite content delivery to end-users.
MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms
Our experiments have shown that for various machine learning workloads, batching can hugely improve the system's efficiency by reducing the processing overhead per request.
Performance Modeling of Metric-Based Serverless Computing Platforms
In previous studies, we built such performance models for steady-state and transient analysis of scale-per-request serverless computing platforms (e. g., AWS Lambda, Azure Functions, Google Cloud Functions) that could give developers immediate feedback about the quality of service and cost of their deployments.
A Pub-Sub Architecture to Promote Blockchain Interoperability
While the development of different blockchain networks shows great potential for blockchains, the isolated networks have led to data and asset silos, limiting the applications of this technology.
Distributed, Parallel, and Cluster Computing
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach
In the deterministic case, we use a linear transformation to move the representation of input data in the latent space such that the reconstructed data is likely to have the same public attribute but a different private attribute than the original input data.
