Tyler J. Skluzacek

TL;DR: funcX as discussed by the authors is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution, which can transform existing clouds, clusters and supercomputers into function serving systems, while funcX's cloud-hosted service provides transparent, secure, and reliable function execution across a federated ecosystem of endpoints.

TL;DR: funcX as discussed by the authors is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution, which can transform existing clouds, clusters and supercomputers into function serving systems, while funcX's cloud-hosted service provides transparent, secure, and reliable function execution across a federated ecosystem of endpoints.

TL;DR: funcX as mentioned in this paper is a high-performance function-as-a-service (FaaS) platform that enables intuitive, flexible, efficient, scalable and performant remote function execution on existing infrastructure including clouds, clusters, and supercomputers.

TL;DR: It is shown that DLHub supports low-latency model inference comparable to other model serving systems including TensorFlow Serving, SageMaker, and Clipper, and improved performance, by up to 95%, with batching and memoization enabled.

TL;DR: Klimatic implements a scalable crawling and processing architecture that uses an elastic container-based model to locate and retrieve relevant datasets and to extract metadata from headers and within files to build a global index of known geospatial data.