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Chapitre D'ouvrage Année : 2021

Trade-offs and challenges of serverless data analytics

Pedro García-López
  • Fonction : Auteur
Marc Sánchez-Artigas
  • Fonction : Auteur
Simon Shillaker
  • Fonction : Auteur
Peter Pietzuch
  • Fonction : Auteur
David Breitgand
  • Fonction : Auteur
Gil Vernik
  • Fonction : Auteur
Tristan Tarrant
  • Fonction : Auteur
Ana Juan-Ferrer
  • Fonction : Auteur
Gerard París
  • Fonction : Auteur

Résumé

Serverless computing has become very popular today since it largely simplifies cloud programming. Developers do no longer need to worry about provisioning or operating servers, and they have to pay only for the compute resources used when their code is run. This new cloud paradigm suits well for many applications, and researchers have already begun investigating the feasibility of serverless computing for data analytics. Unfortunately, today’s serverless computing presents important limitations that make it really difficult to support all sorts of analytics workloads. This chapter first starts by analyzing three fundamental trade-offs of today’s serverless computing model and their relationship with data analytics. It studies how by relaxing disaggregation, isolation, and simple scheduling, it is possible to increase the overall computing performance, but at the expense of essential aspects of the model such as elasticity, security, or sub-second activations, respectively. The consequence of these trade-offs is that analytics applications may well end up embracing hybrid systems composed of serverless and serverful components, which we call ServerMix in this chapter. We will review the existing related work to show that most applications can be actually categorized as ServerMix .

Dates et versions

hal-04251895 , version 1 (20-10-2023)

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Citer

Pedro García-López, Marc Sánchez-Artigas, Simon Shillaker, Peter Pietzuch, David Breitgand, et al.. Trade-offs and challenges of serverless data analytics. Technologies and applications for big data value, Springer International Publishing, pp.41-61, 2021, 978-3-030-78307-5. ⟨10.1007/978-3-030-78307-5_3⟩. ⟨hal-04251895⟩
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