Articles producció científica> Enginyeria Informàtica i Matemàtiques

Triggerflow: Trigger-based orchestration of serverless workflows

  • Dades identificatives

    Identificador: imarina:9218782
    Autors:
    Arjona ALópez PGSampé JSlominski AVillard L
    Resum:
    As more applications are being moved to the Cloud thanks to serverless computing, it is increasingly necessary to support the native life cycle execution of those applications in the data center. But existing cloud orchestration systems either focus on short-running workflows (like IBM Composer or Amazon Step Functions Express Workflows) or impose considerable overheads for synchronizing massively parallel jobs (Azure Durable Functions, Amazon Step Functions). 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. We demonstrate that Triggerflow is a novel serverless building block capable of constructing different reactive orchestrators (State Machines, Directed Acyclic Graphs, Workflow as code, Federated Learning orchestrator). We also validate that it can support high-volume event processing workloads, auto-scale on demand with scale down to zero when not used, and transparently guarantee fault tolerance and efficient resource usage when orchestrating long running scientific workflows.
  • Altres:

    Autor segons l'article: Arjona A; López PG; Sampé J; Slominski A; Villard L
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: Arjona Perez, Aitor
    Paraules clau: Serverless Orchestration Event-based Engine serverless orchestration
    Resum: As more applications are being moved to the Cloud thanks to serverless computing, it is increasingly necessary to support the native life cycle execution of those applications in the data center. But existing cloud orchestration systems either focus on short-running workflows (like IBM Composer or Amazon Step Functions Express Workflows) or impose considerable overheads for synchronizing massively parallel jobs (Azure Durable Functions, Amazon Step Functions). 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. We demonstrate that Triggerflow is a novel serverless building block capable of constructing different reactive orchestrators (State Machines, Directed Acyclic Graphs, Workflow as code, Federated Learning orchestrator). We also validate that it can support high-volume event processing workloads, auto-scale on demand with scale down to zero when not used, and transparently guarantee fault tolerance and efficient resource usage when orchestrating long running scientific workflows.
    Àrees temàtiques: Software Saúde coletiva Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar Hardware and architecture Engenharias iv Engenharias iii Engenharias i Comunicação e informação Computer science, theory & methods Computer networks and communications Ciências sociais aplicadas i Ciências biológicas ii Ciências biológicas i Ciência da computação
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: aitor.arjona@urv.cat aitor.arjona@urv.cat
    Identificador de l'autor: 0000-0001-5451-4865 0000-0001-5451-4865
    Data d'alta del registre: 2024-07-27
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0167739X21001989?via%3Dihub
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Future Generation Computer Systems-The International Journal Of Escience. 124 215-229
    Referència de l'ítem segons les normes APA: Arjona A; López PG; Sampé J; Slominski A; Villard L (2021). Triggerflow: Trigger-based orchestration of serverless workflows. Future Generation Computer Systems-The International Journal Of Escience, 124(), 215-229. DOI: 10.1016/j.future.2021.06.004
    DOI de l'article: 10.1016/j.future.2021.06.004
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Computer Networks and Communications,Computer Science, Theory & Methods,Hardware and Architecture,Software
    Serverless
    Orchestration
    Event-based
    Engine
    serverless
    orchestration
    Software
    Saúde coletiva
    Medicina ii
    Medicina i
    Matemática / probabilidade e estatística
    Interdisciplinar
    Hardware and architecture
    Engenharias iv
    Engenharias iii
    Engenharias i
    Comunicação e informação
    Computer science, theory & methods
    Computer networks and communications
    Ciências sociais aplicadas i
    Ciências biológicas ii
    Ciências biológicas i
    Ciência da computação
  • Documents:

  • Cerca a google

    Search to google scholar