… large scale clients for intelligent services such as speech, vision, search, anomaly detection,
and text analysis. This allows users to integrate ready-to-use intelligence … create intelligent …

… Further, setting thresholds for each microservice could be labor-intensive as there are more
than thousands of microservices for large-scale industrial systems. As different microservices …

… The rapid advancement of artificial intelligence (AI) … of microservices architecture and
large-scale AI applications. By examining the principles, benefits, and challenges of microservices, …

… The system comprises more than 3,000 microservices running … of each microservice within
the system of microservices. To … Jha, ZT Kalbarczyk, and RK Iyer, “FIRM: An intelligent fine-…

… for a microservice-based cloud robotics system in intelligent … architecture based on a
microservice to provide a highly … design methods, based on microservice, easy for implementation. …

… In this section, we present microservice workload characteristics and microservice resource
usage … We conducted large-scale experiments in Alibaba clusters using more than 1000 …

… machine learning models and large-scale history data to locate the microservices that lead
to … Jha, ZT Kalbarczyk, and RK Iyer, “FIRM: An intelligent fine-grained resource management …

… Abstract—The emergence of microservice architecture in Cloud systems poses a new … to
identify the root cause of anomaly in large-scale microservice architecture. To solve this issue, …

With the rapid development of 5G network, business scenarios such as intelligent service
and new retail are becoming more and more popular. The demand for more flexible and …

… and readability of this work, we introduce some background of microservice co-location. …
We evaluate the effectiveness of PISM based on real traces from a large-scale production cluster…