The auto-scaling feature is fundamental to serverless computing, and it automatically allows
applications to scale as needed. Hence, this allows applications to be configured to adapt to …

In serverless computing, each function invocation is executed in a container (or a Virtual
Machine), and container cold startup results in long response latency. We observe that some …

The secure container that hosts a single container in a micro virtual machine (VM) is now
used in serverless computing, as the containers are isolated through the microVMs. There …

The edge–cloud continuum combines heterogeneous resources, which are complex to
manage. Serverless edge computing is a suitable candidate to manage the continuum by …

Although serverless computing is a popular paradigm, current serverless environments have
high overheads. Recently, it has been shown that serverless workloads frequently exhibit …

Serverless computing is emerging as an enabling technology for elastic and low-cost AI
applications in the edge of core networks. It allows AI developers to decompose a complex …

Serverless computing separates function execution from state management. Simple retry-
based fault tolerance might corrupt the shared state with duplicate updates. Existing …

While serverless computing is increasingly popular, its energy and power consumption
behavior is hardly explored. In this work, we perform a thorough characterization of the …

Serialization and deserialization play a dominant role in the state transfer time of serverless
workflows, leading to substantial performance penalties during workflow execution. We …

We design, implement, and evaluate YuanRong, the first production general-purpose
serverless platform with a unified programming interface, multi-language runtime, and a …