Recently, academics and the corporate sector have paid attention to serverless computing,
which enables dynamic scalability and an economic model. In serverless computing, users …

To improve the efficiency of reinforcement learning (RL), we propose a novel asynchronous
federated reinforcement learning (FedRL) framework termed AFedPG, which constructs a …

Nowadays, there exists a lot of cross-region data transmission demand on the cloud. It is
promising to use serverless computing for data compressing to save the total data size …

Serverless computing promises scalability and cost-efficiency by decomposing monolithic
tasks into small, stateless, self-contained functions. As functions only reserve hardware …

Serverless computing along with Function‐as‐a‐Service (FaaS) is forming a new computing
paradigm that is anticipated to found the next generation of cloud systems. The popularity of …

The metadata service (MDS) sits on the critical path for distributed file system (DFS)
operations, and therefore it is key to the overall performance of a large-scale DFS. Common" …

In today's production machine learning (ML) systems, models are continuously trained,
improved, and deployed. ML design and training are becoming a continuous workflow of …

FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual
machines with dynamically allocated resources. This shift trades locality and statefulness for …

Serverless computing has revolutionized application deployment, obviating traditional
infrastructure management and dynamically allocating resources on demand. A significant …

Cloud object storage such as AWS S3 is cost-effective and highly elastic but relatively slow,
while high-performance cloud storage such as AWS ElastiCache is expensive and provides …