Serverless is an attractive platform for a variety of applications in the cloud due to its promise
of elasticity, low cost, and fast deployment. Instead of using traditional virtual machine …

Serverless computing is poised to fulfill the long-held promise of transparent elasticity and
millisecond-level pricing. To achieve this goal, service providers impose a finegrained …

Serverless computing has recently attracted a lot of attention from research and industry due
to its promise of ultimate elasticity and operational simplicity. However, there is no …

Much like on-premises systems, the natural choice for running database analytics workloads
in the cloud is to provision a cluster of nodes to run a database instance. However, analytics …

Serverless computing provides fine-grained resource elasticity for data analytics---a job can
flexibly scale its resources for each stage, instead of sticking to a fixed pool of resources …

Cloud function (CF) services, such as AWS Lambda, have been applied as the new
computing infrastructure in implementing analytical query engines. For bursty and sparse …

Serverless computing has gained attention due to its fine-grained provisioning, large-scale
multi-tenancy, and on-demand scaling. However, it also forces applications to externalize …

Serverless platforms facilitate transparent resource elasticity and fine-grained billing, making
them an attractive choice for data analytics. We find that while server-centric analytics …

The cloud facilitates the transition to a service-oriented perspective. This affects cloud-native
data management in general, and data analytics in particular. Instead of managing a multi …

Serverless computing is attracting considerable attention recently, but many published
papers use micro-benchmarks for evaluation that might result in impracticality. To address …