Triggerflow: Trigger-based Orchestration of Serverless Workflows (ACM DEBS 2020)
Автор: Pedro Garcia Lopez
Загружено: 2020-06-29
Просмотров: 231
Описание:
ACM DEBS 2020
Paper id: #5
Track: Research
Authors: Pedro Garcia Lopez, Aitor Arjona, Josep Sampé, Aleksander Slominski, Lionel Villard
Keywords: Serverless, Orchestration, Event, Triggers, Knative
Abstract :
As more applications are being moved to the Cloud thanks to serverless computing, it is increasingly necessary to support native life cycle execution of those applications in the data center.
But existing systems either focus on short-running workflows (like IBM Composer or Amazon Express Workflows) or impose considerable overheads for synchronizing massively parallel jobs (Azure Durable Functions, Amazon Step Functions, Google Cloud Composer). None of them are open systems enabling extensible interception and optimization of custom workflows.
We present Triggerflow: an extensible Trigger-based Orchestration architecture for serverless workflows built on top of Knative Eventing and Kubernetes technologies. We demonstrate that Triggerflow is a novel serverless building block capable of constructing different reactive schedulers (State Machines, Directed Acyclic Graphs, Workflow as code). We also validate that it can support high-volume event processing workloads, auto-scale on demand and transparently optimize scientific workflows.
URL:
https://github.com/triggerflow/trigge...
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