A graph-based data model for API ecosystem insights
Erik Wittern, Jim Laredo, et al.
ICWS 2014
Building scalable, highly available publish/subscribe (pub/sub) systems can require sophisticated algorithms and a tremendous amount of engineering e?ort. This paper demonstrates a way to build a pub/sub broker on top of the OpenWhisk serverless platform that performs topic-based and contentbased matching. This approach radically simplifes the design and signifcantly reduces the amount of code while still achieving scalability targets. Furthermore, we present a publisher/subscriber client application to interact with the broker as well as an evaluator application that enforces heavy workload on the broker to measure the scalability and latency of the pub/sub system and discover the potential bottlenecks.
Erik Wittern, Jim Laredo, et al.
ICWS 2014
K. R. Kallapalayam Radhakrishnan, Vinod Muthusamy, et al.
Big Data 2022
Xue Han, Lianxue Hu, et al.
SCC 2020
Yara Rizk, Vatche Isahagian, et al.
BPM 2020