Paper Info
Title
FaaS Orchestration of Parallel Workloads
Abstract
Function as a Service (FaaS) is based on a reactive programming model where functions are activated by triggers in response to cloud events (e.g., objects added to an object store). The inherent elasticity and the pay-per-use model of serverless functions make them very appropriate for embarrassingly parallel tasks like data preprocessing, or even the execution of MapReduce jobs in the cloud. But current Serverless orchestration systems are not designed for managing parallel fork-join workflows in a scalable and efficient way. We demonstrate in this paper that existing services like AWS Step Functions or Azure Durable Functions incur in considerable overheads, and only Composer at IBM Cloud provides suitable performance. Successively, we analyze the architecture of OpenWhisk as an open-source FaaS systems and its orchestration features (Composer). We outline its architecture problems and propose guidelines for orchestrating massively parallel workloads using serverless functions.
Year
DOI
Venue
2019
10.1145/3366623.3368137
Proceedings of the 5th International Workshop on Serverless Computing
Keywords
Field
DocType
FaaS, Serverless, event-based, orchestration
Computer science,Orchestration (computing),Operating system
Conference
ISBN
Citations 
PageRank 
978-1-4503-7038-7
2
0.37
References 
Authors
0
6
Name
Order
Citations
PageRank
Daniel Barcelona-Pons181.18
Pedro García-López253645.60
Álvaro Ruiz320.37
Amanda Gómez-Gómez420.37
Gerard París5193.86
Marc Sánchez-Artigas681.18