Person

Pamela Isabel Delgado Borda

Related publications (7)

Towards reproducible software studies with MAO and Renku

Pamela Isabel Delgado Borda, Christine Choirat

In software engineering, the developers' joy of decomposing and recomposing microservice-based applications has led to an enormous wave of microservice artefact technologies. To understand them better, researchers perform hundreds of experiments and empiri ...

ELSEVIER2022

Hybrid, Job-Aware, and Preemptive Datacenter Scheduling

Pamela Isabel Delgado Borda

Scheduling in datacenters is an important, yet challenging problem. Datacenters are composed of a large number, typically tens of thousands, of commodity computers running a variety of data-parallel jobs. The role of the scheduler is to assign cluster reso ...

EPFL2018

Kairos: Preemptive Data Center Scheduling Without Runtime Estimates

Willy Zwaenepoel, Pamela Isabel Delgado Borda, Diego Didona, Florin Dinu

The vast majority of data center schedulers use task runtime estimates to improve the quality of their scheduling decisions. Knowledge about runtimes allows the schedulers, among other things, to achieve better load balance and to avoid head-of-line blocki ...

2018

Job-aware Scheduling in Eagle: Divide and Stick to Your Probes

Willy Zwaenepoel, Pamela Isabel Delgado Borda, Diego Didona, Florin Dinu

We present Eagle, a new hybrid data center scheduler for data-parallel programs. Eagle dynamically divides the nodes of the data center in partitions for the execution of long and short jobs, thereby avoiding head-of-line blocking. Furthermore, it provides ...

ACM2016

Hawk: Hybrid Datacenter Scheduling

Willy Zwaenepoel, Anne-Marie Kermarrec, Pamela Isabel Delgado Borda, Florin Dinu

This paper addresses the problem of efficient scheduling of large clusters under high load and heterogeneous workloads. A heterogeneous workload typically consists of many short jobs and a small number of large jobs that consume the bulk of the cluster's r ...

USENIX Association2015

Distal: A Framework for Implementing Fault-tolerant Distributed Algorithms

André Schiper, Pamela Isabel Delgado Borda, Zarko Milosevic, Martin Biely

We introduce Disal, a new framework that simplifies turning pseudocode of fault tolerant distributed algorithms into efficient executable code. Without proper tool support, even small amounts of pseudocode normally ends up in several thousands of lines of ...

2013

DISTAL: Domain-speciﬁc Language for Implementing Distributed Algorithms

Pamela Isabel Delgado Borda

Distributed algorithms research focuses on interactions and communication between independent systems and processors in diverse scenarios. These algorithms are usually written as abstract pseudo-code, and turning them into compilable and runnable code is a ...

2012

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