Serverless computing is an emerging cloud computing paradigm, being adopted to develop
a wide range of software applications. It allows developers to focus on the application logic …

Serverless computing is becoming increasingly popular due to its ease of programming, fast
elasticity, and fine-grained billing. However, the serverless provider still needs to provision …

Serverless computing has seen rapid growth due to the ease-of-use and cost-efficiency it
provides. However, function scheduling, a critical component of serverless systems, has …

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

Function-as-a-Service (FaaS) serverless computing enables a simple programming model
with almost unbounded elasticity. Unfortunately, current FaaS platforms achieve this …

Serverless applications are typically composed of function workflows in which multiple short-
lived functions are triggered to exchange data in response to events or state changes …

Serverless Computing: What It Is, and What It Is Not? Page 1 FULL AUTOMATION OF IT
infrastructure and the delivery of efficient IT operations as billed services have been long-standing …

Big data applications extensively use cache techniques to accelerate data access. A key
challenge for improving cache utilization is provisioning a suitable cache size to fit the …

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