publish-assistant/site/data/cloud-edge/papers/FGCS-2025-digest.yaml

venue: FGCS
year: 2025
selected:
  - title: Multifacets of lossy compression for scientific data in the Joint-Laboratory
      of Extreme Scale Computing
    authors:
    - Franck Cappello
    - Mario C. Acosta
    - Emmanuel Agullo
    - Hartwig Anzt
    - Jon Calhoun 0001
    - Sheng Di
    - Luc Giraud
    - Thomas Grützmacher
    - Sian Jin
    - Kentaro Sano
    - Kento Sato
    - Amarjit Singh
    - Dingwen Tao
    - Jiannan Tian
    - Tomohiro Ueno
    - Robert Underwood
    - Frédéric Vivien
    - Xavier Yepes
    - Kazutomo Yoshii
    - Boyuan Zhang 0002
    tldr: "A joint JLESC survey covering error-bounded lossy compressors (SZ, ZFP, MGARD) across simulation, AI, and in-situ analytics use cases, with benchmarks on real scientific datasets at extreme scale."
    why_notable: "The most comprehensive cross-site evaluation of scientific data compression to date, providing actionable guidance on compressor selection for different numerical kernels and accuracy requirements."

  - title: Efficient distributed continual learning for steering experiments in real-time
    authors:
    - Thomas Bouvier
    - Bogdan Nicolae
    - Alexandru Costan
    - Tekin Bicer
    - Ian T. Foster
    - Gabriel Antoniu
    tldr: "Proposes a distributed continual learning architecture that keeps deep learning models synchronized with a running scientific experiment by streaming lightweight updates across edge detectors and HPC backends."
    why_notable: "One of the first systems to close the loop between experimental data streams and model adaptation in real-time without full retraining, validated on synchrotron detector workloads."

  - title: 'SmartKV: A cost-effective and low-latency geo-distributed key-value store
      for the computing continuum'
    authors:
    - Juan Aznar-Poveda
    - Maximilian Franz Ebner
    - Thomas Fahringer
    - Zahra Najafabadi Samani
    - Marlon Etheredge
    - Stefan Pedratscher
    - Nishant Saurabh
    tldr: "Introduces SmartKV, a geo-distributed key-value store that uses latency-aware replication policies to deliver consistent low-latency reads across edge, fog, and cloud tiers of the computing continuum."
    why_notable: "Provides a concrete, benchmarked storage primitive for the computing continuum that fills the gap between single-datacenter stores and high-latency cloud object storage."

  - title: Scalable compute continuum
    authors:
    - Valeria Cardellini
    - Patrizio Dazzi
    - Gabriele Mencagli
    - Matteo Nardelli 0001
    - Massimo Torquati
    tldr: "Defines a programming and deployment model for the compute continuum that abstracts resource heterogeneity from edge to cloud, enabling applications to scale dynamically across tiers."
    why_notable: "Provides a principled architectural reference for the continuum that can guide system designers building next-generation distributed runtime environments."

  - title: A comparative study of ad-hoc file systems for extreme scale computing
    authors:
    - Njoud O. Almaaitah
    - Francisco Javier García Blas
    - Genaro Sanchez-Gallegos
    - Jesús Carretero 0001
    - Marc-André Vef
    - André Brinkmann
    tldr: "Benchmarks GekkoFS, BeeGFS, and similar ad-hoc file systems under diverse HPC I/O patterns, characterizing their throughput, metadata performance, and suitability for burst-buffer scenarios."
    why_notable: "The most systematic evaluation of ad-hoc parallel file systems available, giving HPC centers clear data to choose or configure temporary storage for large scientific workflows."

  - title: Advancing anomaly detection in computational workflows with active learning
    authors:
    - Krishnan Raghavan
    - George Papadimitriou 0002
    - Hongwei Jin
    - Anirban Mandal
    - Mariam Kiran
    - Prasanna Balaprakash
    - Ewa Deelman
    tldr: "Applies active learning to reduce the labeling burden for workflow anomaly detection, selectively querying an oracle for the most informative execution traces within a Pegasus workflow framework."
    why_notable: "Demonstrates that active learning can make anomaly detection practical in real scientific workflows where labeled failure data is scarce, with experiments on production workloads."

  - title: 'MITgcm-AD v2: Open source tangent linear and adjoint modeling framework
      for the oceans and atmosphere enabled by the Automatic Differentiation tool Tapenade'
    authors:
    - Shreyas Sunil Gaikwad
    - Sri Hari Krishna Narayanan
    - Laurent Hascoët
    - Jean-Michel Campin
    - Helen Pillar
    - An Nguyen
    - Jan Hückelheim
    - Paul D. Hovland
    - Patrick Heimbach
    tldr: "Describes MITgcm-AD v2, a production-quality adjoint of the MITgcm ocean-atmosphere model generated with Tapenade, enabling global sensitivity analyses and data assimilation at scale."
    why_notable: "A landmark in scientific computing software sustainability: a fully open, differentiable climate model that enables gradient-based inversion for ocean state estimation."

  - title: 'zCeph: Design and implementation of a ZNS-friendly distributed file system'
    authors:
    - Jinyong Ha 0001
    - Yongseok Son
    tldr: "Redesigns the Ceph distributed file system to exploit Zoned Namespace SSDs natively, eliminating write amplification and improving throughput by aligning file system semantics with ZNS zone constraints."
    why_notable: "Demonstrates how next-generation storage hardware (ZNS SSDs) demands rethinking distributed storage stack designs, with significant performance gains on real hardware."

  - title: 'RADiCe: A Risk Analysis Framework for Data Centers'
    authors:
    - Fabian Mastenbroek
    - Tiziano De Matteis
    - Vincent van Beek
    - Alexandru Iosup
    tldr: "Provides a quantitative risk analysis framework for data centers that models cascading failures across power, cooling, and compute subsystems using simulation to estimate availability and cost trade-offs."
    why_notable: "Fills a practical gap for data center operators who need principled tools to evaluate infrastructure resilience beyond simple redundancy rules."

  - title: Deadline-constrained security-aware workflow scheduling in hybrid cloud architecture
    authors:
    - Somayeh Abdi
    - Mohammad Ashjaei
    - Saad Mubeen
    tldr: "Formulates workflow scheduling in hybrid clouds as a multi-objective problem that jointly minimizes cost and execution time while meeting both deadline and data-security placement constraints."
    why_notable: "One of the few scheduling works that treats security classification of tasks as a first-class constraint alongside performance, with practical validation on scientific workflow benchmarks."

  - title: 'Regen: An object layout regenerator on large-scale production HPC systems'
    authors:
    - Dong Kyu Sung
    - Sunggon Kim
    - Sangjin Lee 0003
    - Houjun Tang
    - Alex Sim
    - Kesheng Wu
    - Suren Byna
    - Yongseok Son
    tldr: "Regen transparently reorganizes the on-disk layout of HDF5 and NetCDF objects in parallel file systems to match actual access patterns, improving I/O performance without application changes."
    why_notable: "Deployed and validated on a production HPC system, showing significant I/O speedups for real scientific datasets, making it immediately relevant to storage administrators."

  - title: Formal definition and implementation of reproducibility tenets for computational
      workflows
    authors:
    - Nicholas J. Pritchard
    - Andreas Wicenec
    tldr: "Formalizes a set of reproducibility requirements for scientific workflows and implements a verification layer within the DALIUGE workflow engine that checks compliance at design and execution time."
    why_notable: "Provides the community with a concrete, tool-supported definition of workflow reproducibility, moving beyond aspirational guidelines to enforceable runtime checks."