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 has gained importance over the last decade as an exciting new field,
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …

Unexpectedly, the rise of serverless computing has also collaterally started the
“democratization” of massive-scale data parallelism. This new trend heralded by PyWren …

Despite significant advances in data management systems in recent decades, the
processing of big data at scale remains very challenging. While cloud computing has been …

Serverless data analytics generate a large amount of intermediate data during computation
stages. However, serverless functions, which are short-lived and lack direct communication …

Analytical query workloads are prone to rapid fluctuations in resource demands. These
rapid, hard to predict resource demand changes make provisioning a challenge. Users must …

Serverless platforms offer high resource elasticity and pay-as-you-go billing, making them a
compelling choice for data analytics. To craft a" pure" serverless solution, the common …

Despite that Function-as-a-Service (FaaS) has settled down as one of the fundamental cloud
programming models, it is still evolving quickly. Recently, Amazon has introduced S3 Object …

Serverless platforms offer high resource elasticity and pay-as-you-go billing, making them a
compelling choice for data analytics. To craft a “pure” serverless solution, the common …

Leveraging serverless platforms for the efficient execution of distributed data analytics
frameworks, such as Apache Spark [3], has gained substantial interest since early 2022. The …