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SURE is a unikernel-based serverless framework that combines rapid function startup with a high-performance, secure data plane, and introduces a lightweight library-based sidecar, which reduces CPU overhead by over two orders of magnitude compared to traditional userspace sidecars.
Optimal parameters emerge naturally from the coupled dynamics of molecular aggregation and membrane mechanics, suggesting a possible strategy for cellular sorting systems to strike an efficient balance between rapid vesicle formation and high sorting quality.
The mPlane architecture is described and its applicability to several distributed measurement problems involving Content Delivery Networks (CDNs) and Internet Service Providers (ISPs) is shown.
This paper introduces a machine learning-based sys-tem for identifying the traffic of RTC applications that builds on the domains contacted before starting a call and leverages techniques from Natural Language Processing (NLP) to build meaningful features.
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