Demo: Emulating Distributed Workloads with DistWalk

This demo showcases DistWalk, an open-source distributed workload emulator designed to study the end-to-end latency implications of Linux-based systems. DistWalk is capable of deploying sequences of compute, network, and storage operations arranged within graph-like topologies, to be carried out across multiple servers. It supports a variety of communication protocols and traffic patterns, and enables the customization of several factors, such as the duration and parallelism of compute-intensive operations, the network security and connection handling strategy, and the I/O data access and synchronization mode, among others. DistWalk can be used to experiment with a variety of deployment models for distributed workloads, from bare-metal to virtualized or containerized environments, e.g., using Cloud/Edge infrastructures, OpenStack, Kubernetes, or other orchestrators. This allows Cloud/Edge researchers and developers to perform experimental comparisons of the latency achievable by distributed workload patterns across a wide range of system-level configurations.

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Publication Details

Published
2025-09-23
DOI
https://doi.org/10.1109/ic2e65552.2025.00021
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

Demo: Emulating Distributed Workloads with DistWalk

Remo Andreoli, A. Napolitano, Tommaso Cucinotta, Tommaso Burlon
Distributed and Parallel Computing Systems
article

Demo: Emulating Distributed Workloads with DistWalk

Remo Andreoli, A. Napolitano, Tommaso Cucinotta, Tommaso Burlon
article en

Abstract

This demo showcases DistWalk, an open-source distributed workload emulator designed to study the end-to-end latency implications of Linux-based systems. DistWalk is capable of deploying sequences of compute, network, and storage operations arranged within graph-like topologies, to be carried out across multiple servers. It supports a variety of communication protocols and traffic patterns, and enables the customization of several factors, such as the duration and parallelism of compute-intensive operations, the network security and connection handling strategy, and the I/O data access and synchronization mode, among others. DistWalk can be used to experiment with a variety of deployment models for distributed workloads, from bare-metal to virtualized or containerized environments, e.g., using Cloud/Edge infrastructures, OpenStack, Kubernetes, or other orchestrators. This allows Cloud/Edge researchers and developers to perform experimental comparisons of the latency achievable by distributed workload patterns across a wide range of system-level configurations.

Scuola Superiore Sant'Anna (IT)
Openalex Percentile: Top 65%
Distributed and Parallel Computing Systems
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