5^th International Workshop on Analytics for Service and Application Management
(AnServApp 2025)

SCOPE

With enterprise organizations generating petabytes of data each day, their use of, and reliance on data analytics to provide contextual insight into their operations is imperative for improving the implementation, management and delivery of services and applications. Approaches such as predictive data analytics, data mining, machine learning and deep learning are promising mechanisms to harness this immense stream of service and application data to meet the needs of an organization. The main goal of AnServApp is to present research and work-in-progress results in the area of data analytics, machine learning and cognitive science for service and application management. In addition to regular papers, short papers describing late-breaking advances and work-in-progress reports from ongoing research are also welcomed.

TOPICS OF INTEREST

Topics of interest include but are not limited to:

• AI/ML/DL powered solutions
• Digital Twins for networks and services
• Intent-based network management
• Multi-Agent Reinforcement Learning (RL)
• Distributed RL over communication networks
• Network and service security
• Resource management & orchestration
• Application Management Services (AMS)
• Ticket resolution and management
• Event log analysis
• Knowledge management
• Workload optimization
• Sentiment analysis
• Social media
• Lower carbon foot print applications / services / systems
• Smart cities and smart transportation services / systems
• Industry5.0 services and data analytics, predictive maintenance, asset tracking
• Social media apps / services / systems
• Smart education services / systems
• Edge, fog, cloud services / systemsSustainability and resilience of applications / services / systems

WORKSHOP CO-CHAIRS

Pal Varga, Budapest University of Technology and Economics, Hungary -- pvarga ((at)) tmit.bme.hu
Nur Zincir-Heywood, Dalhousie University, Canada -- nzincirh ((at)) dal.ca

TECHNICAL PROGRAM COMMITTEE

Adel El-Atawy, Google, USA
Andreas Johnsson, Ericsson Research, Sweden
Ashiq Anjum, University of Leicester, UK
Ayse Bener, Ryerson University, Canada
Emir Halepovic, AT&T, USA
Filippo Poltronieri, University of Ferrara, Italy
Francesca Fossati, Sorbonne Université, France
Giuliano Casale, Imperial College London, UK
Jaime Galàn-Jimènez, University of Extremadura, Spain
Jaime Llorca, New York University, NY, USA
Jozsef Biro, Budapest University of Technology and Economics, Hungary
Kristina Dzeparoska, University of Toronto, Canada
Laurent Ciavaglia, Nokia, France
Marco Zambianco, FBK, Italy
Mauro Tortonesi, University of Ferrara, Italy
Philip Tee, University of Sussex and Moogsoft Inc, USA
Rita Orji, Dalhousie University, Canada
Ritu Chadha, Vencore Labs, USA
Roberto Rodrigues Filho, Federal University of Santa Catarina, Brazil
Sandrine Vaton, IMT Atlantique, France
Sidath Handurukande, Center for Innovation – Accenture, Ireland
Steven Latré, University of Antwerp - iMinds, Belgium
Taghrid Samak, Google, USA
Takeru Inoue, NTT, Japan
Tiago Cruz, University of Coibra, Portugal
Tim Wauters, University of Ghent, Belgium
Una-May O'Reilly, MIT, USA
Yu Deng, IBM, USA