Serverless computing has become very popular in recent years due to its flexibility and cost
efficiency. Serverless computing is a cloud computing model that allows developers to write …

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 …

Serverless computing is renowned for its computation elasticity, yet its full potential is often
constrained by the requirement for functions to operate within local and dedicated …

Serverless platforms essentially face a tradeoff between container startup time and
provisioned concurrency (ie, cached instances), which is further exaggerated by the frequent …

Function as a Service (FaaS) and the associated serverless computing paradigm alleviates
users from resource management and allows cloud platforms to optimize system …

Reducing write data to encrypted Non-Volatile Main Memory (NVMM) can directly improve
NVMM's endurance, performance, and energy efficiency. However, existing works that …

The sharing of clusters with various on-NIC offloads by high-level entities (users, containers,
etc.) has become increasingly common. Performance isolation across these entities is …

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

Serverless computing has rapidly prospered as a new cloud computing paradigm with agile
scalability, pay-as-you-go pricing, and ease-to-use features for Machine Learning (ML) …

With the proliferation of Serverless Computing, the Function-asa-Service (FaaS) paradigm is
nowadays ubiquitous. As a result, the domain has attracted extensive research, both in …