AnServApp 2023

3rd International Workshop on Analytics for Service and Application Management

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.

Topics of interest include but are not limited to:

  • Application Management Services (AMS)
  • AI/ML/DL powered ticket resolution
  • Event log analysis
  • Network and service security
  • Knowledge management
  • Predictive maintenance
  • Asset tracking and provisioning
  • Workload optimization
  • Sentiment analysis
  • Social media
  • Lower carbon foot print applications / services / systems
  • Smart cities and smart transportation services / systems
  • Social media apps / services / systems
  • Smart education services / systems
  • Edge, fog, cloud services / systems
  • Sustainability and resilience of applications / services / systems

Workshop Co-chairs

Nur Zincir-Heywood, Dalhousie University, Canada
Khurram Aziz, Dalhousie University, Canada
Pal Varga, Budapest University of Technology and Economics, Hungary

Keynote

Creating a Smart Application Marketplace Alberto Leon-Garcia, University of Toronto

Alberto Leon-Garcia is Professor in Electrical and Computer Engineering at the University of Toronto. He is a Fellow of the Royal Society of Canada, and a Life Fellow of the Institute of Electronics and Electrical Engineering "For contributions to multiplexing and switching of integrated services traffic". He authored the textbooks: Probability and Random Processes for Electrical Engineering, and Communication Networks: Fundamental Concepts and Key Architecture. Leon-Garcia was Founder and CTO of AcceLight Networks in Ottawa from 1999 to 2002. AcceLight developed a multi-service switch-router with all-optical fabric. Leon-Garca was Scientific Director of the NSERC Strategic Network for Smart Applications on Virtual Infrastructures (SAVI), and Principal Investigator of the project on Connected Vehicles and Smart Transportation. SAVI designed and deployed a national testbed in Canada that converges cloud computing and software-defined networking. CVST designed and deployed an application platform for smart transportation. Leon-Garcia’s research is currently focussed on the design of intelligent automated management systems for large-scale infrastructures. Leon-Garcia was Founder of StreamWorx.ai which developed massive-scale, real-time streaming analytics software for network operations and cybersecurity applications. StreamWorx was acquired and is now part of OpenText. Leon-Garcia has held several Chair positions at the University of Toronto: Nortel Chair in Network Architecture and Services; Skoll Chair in Computer Networks and Innovation; Canada Research Chair in Autonomic Service Architecture; and Distinguished Professor in Smart Infrastructures.

2023 AnServApp Workshop Paper Sessions

WS-1: Keynote (9:00 AM – 10:30 AM)

Creating a Smart Application Marketplace, Alberto Leon-Garcia, University of Toronto.

Coffee Break (10:30 AM – 11:00 AM)

WS-2: Analytics for Services Management (11:00 AM – 12:30 PM)

  1. LLM-based policy generation for intent-based management of applications
  2. 5G E2E Network Slicing Predictable Traffic Generator
  3. MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection

Lunch Break (12:30 PM – 1:30 PM)

WS-3: Analytics for Applications (1:30 PM – 3:00 PM)

  1. Settling issues in IEEE 802.1AS networks in PI based clock servos
  2. A Marketplace Solution for Distributed Network Management and Orchestration of Slices
  3. AI Toolbox Concept for the Arrowhead Framework
  4. Tailoring MLOps Techniques for Industry 5.0 Needs

Coffee Break (3:00 PM – 3:30 PM)

WS-4: Analytics for Operations and Management (3:30 PM – 4:30 PM)

  1. Enterprise Application Outage Prediction Using XGBoost and LSTM
  2. Vendor Agnostic Network Service Orchestration with Stacked NSO Services
  3. ML-based translation methods for protocols and data formats
  4. Closing of the workshop
© CNSM 2023