5 citations · 5 across the 6 of their papers we have counts for
6 papers
AI-Driven Multi-Region Provisioning for Cloud Services Using Spot Fleets
Javier Fabra, Enrique Molina-Giménez, Pedro García-López
Cloud service platforms increasingly rely on elastic infrastructures to support dynamic workloads. Spot instances provide discounted computing resources but introduce uncertainty d…
KubePACS: Kubernetes Cluster Using Performant, Highly Available, and Cost Efficient Spot Instances
Taeyoon Kim, Kyumin Kim, Enrique Molina-Giménez +2
Cloud users aim to minimize cost while maximizing performance by selecting the most suitable instance types for their workloads. To reduce expenses, spot instances have been widely…
FaaS Is Not Enough: Serverless Handling of Burst-Parallel Jobs
Daniel Barcelona-Pons, Aitor Arjona, Pedro García-López +2
Function-as-a-Service (FaaS) struggles with burst-parallel jobs due to needing multiple independent invocations to start a job. The lack of a group invocation primitive complicates…
Scaling a Variant Calling Genomics Pipeline with FaaS
Aitor Arjona, Arnau Gabriel-Atienza, Sara Lanuza-Orna +6
With the escalating complexity and volume of genomic data, the capacity of biology institutions' HPC faces limitations. While the Cloud presents a viable solution for short-term el…
Exploiting Inherent Elasticity of Serverless in Irregular Algorithms
Gerard Finol, Gerard París, Pedro García-López +1
Serverless computing, in particular the Function-as-a-Service (FaaS) execution model, has recently shown to be effective for running large-scale computations. However, little atten…
A milestone for FaaS pipelines; object storage vs VM-driven data exchange
Germán T. Eizaguirre, Marc Sánchez-Artigas, Pedro García-López
Serverless functions provide high levels of parallelism, short startup times, and "pay-as-you-go" billing. These attributes make them a natural substrate for data analytics workflo…