World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6428
World Ranking
10681
National Ranking
672

Research.com Recognitions

  • 2020 - ACM Senior Member

Overview

Giuliano Casale is affiliated with Imperial College London in the United Kingdom. Their research primarily focuses on computer science with significant contributions to subfields including computer networks and communications, information systems, management information systems, artificial intelligence, and statistics, probability, and uncertainty.

Their work extensively covers topics related to cloud computing and resource management, IoT and edge/fog computing, age of information optimization, software system performance and reliability, advanced queuing theory analysis, anomaly detection techniques and applications, and caching and content delivery.

Frequent co-authors collaborating with Giuliano Casale include Shreshth Tuli, Nicholas R. Jennings, Yicheng Gao, Alim Ul Gias, and Lulai Zhu.

Giuliano Casale's publication record spans various academic venues. They have a notable presence in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Network and Service Management
  • ACM SIGMETRICS Performance Evaluation Review
  • ACM Transactions on Modeling and Performance Evaluation of Computing Systems

Selected recent papers authored or co-authored by Casale include:

  • "TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data," 2022, arXiv (Cornell University)
  • "TranAD," 2022, Proceedings of the VLDB Endowment
  • "AI augmented Edge and Fog computing: Trends and challenges," 2023, Journal of Network and Computer Applications
  • "Quality-Aware DevOps Research: Where Do We Stand?," 2021, IEEE Access
  • "PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing," 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

The researcher has been recognized with the ACM Senior Member award in 2020.

Best Publications

  • TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

    Unknown

  • A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

    Rajkumar Buyya;Satish Narayana Srirama;Giuliano Casale;Rodrigo Calheiros

  • Quality-of-service in cloud computing: modeling techniques and their applications

    Danilo Ardagna;Giuliano Casale;Michele Ciavotta;Juan F Pérez

  • MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds

    Danilo Ardagna;Elisabetta Di Nitto;Giuliano Casale;Dana Petcu

  • JMT: performance engineering tools for system modeling

    Marco Bertoli;Giuliano Casale;Giuseppe Serazzi

  • HUNTER: AI based holistic resource management for sustainable cloud computing

    Shreshth Tuli;Sukhpal Singh Gill;Minxian Xu;Peter Garraghan

  • MODAClouds: A model-driven approach for the design and execution of applications on multiple Clouds

    Unknown

  • Burstiness in multi-tier applications: symptoms, causes, and new models

    Ningfang Mi;Giuliano Casale;Ludmila Cherkasova;Evgenia Smirni

  • An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems

    Pooyan Jamshidi;Giuliano Casale

  • Injecting realistic burstiness to a traditional client-server benchmark

    Ningfang Mi;Giuliano Casale;Ludmila Cherkasova;Evgenia Smirni

  • TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

    Unknown

  • Modelling and Simulation Challenges in Internet of Things

    Gabor Kecskemeti;Giuliano Casale;Devki Nandan Jha;Justin Lyon

  • Markovian Workload Characterization for QoS Prediction in the Cloud

    Sergio Pacheco-Sanchez;Giuliano Casale;Bryan Scotney;Sally McClean

  • ATOM: Model-Driven Autoscaling for Microservices

    Alim Ul Gias;Giuliano Casale;Murray Woodside

  • Trace data characterization and fitting for Markov modeling

    Giuliano Casale;Eddy Z. Zhang;Evgenia Smirni

  • Evaluating Approaches to Resource Demand Estimation

    Simon Spinner;Giuliano Casale;Fabian Brosig;Samuel Kounev

  • Estimating service resource consumption from response time measurements

    Stephan Kraft;Sergio Pacheco-Sanchez;Giuliano Casale;Stephen Dawson

  • AI augmented Edge and Fog computing: Trends and challenges

    Unknown

  • KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes

    G. Casale;E.Z. Zhang;E. Smirni

  • Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

    Sukhpal Singh Gill;Sukhpal Singh Gill;Peter Garraghan;Vlado Stankovski;Giuliano Casale

  • Evaluating Weighted Round Robin Load Balancing for Cloud Web Services

    Weikun Wang;Giuliano Casale

  • DICE: quality-driven development of data-intensive cloud applications

    G. Casale;D. Ardagna;M. Artac;F. Barbier

  • SLA-driven planning and optimization of enterprise applications

    Hui Li;Giuliano Casale;Tariq Ellahi

  • COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

    Shreshth Tuli;Shivananda R. Poojara;Satish N. Srirama;Giuliano Casale

  • Java Modelling Tools: an Open Source Suite for Queueing Network Modelling andWorkload Analysis

    M. Bertoli;G. Casale;G. Serazzri

Frequent Co-Authors

Evgenia Smirni
Evgenia Smirni William & Mary
Danilo Ardagna
Danilo Ardagna Polytechnic University of Milan
Paolo Cremonesi
Paolo Cremonesi Polytechnic University of Milan
Elisabetta Di Nitto
Elisabetta Di Nitto Polytechnic University of Milan
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Pooyan Jamshidi
Pooyan Jamshidi University of South Carolina
Richard R. Muntz
Richard R. Muntz University of California, Los Angeles
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Erol Gelenbe
Erol Gelenbe Institute of Theoretical and Applied Informatics

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