Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning
In 6G mobile systems, network slicing is an emerging technology to support services with
distinct requirements by dividing a common infrastructure into multiple logical networks …
distinct requirements by dividing a common infrastructure into multiple logical networks …
Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection
Anomaly detection in multivariate time series data is of paramount importance for ensuring
the efficient operation of large-scale systems across diverse domains. However, accurately …
the efficient operation of large-scale systems across diverse domains. However, accurately …
The netmob23 dataset: A high-resolution multi-region service-level mobile data traffic cartography
Digital sources have been enabling unprecedented data-driven and large-scale
investigations across a wide range of domains, including demography, sociology …
investigations across a wide range of domains, including demography, sociology …
Xpert: Empowering incident management with query recommendations via large language models
Large-scale cloud systems play a pivotal role in modern IT infrastructure. However, incidents
occurring within these systems can lead to service disruptions and adversely affect user …
occurring within these systems can lead to service disruptions and adversely affect user …
Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback
In microservice systems, the identification of root causes of anomalies is imperative for
service reliability and business impact. This process is typically divided into two phases:(i) …
service reliability and business impact. This process is typically divided into two phases:(i) …
OnSlicing: online end-to-end network slicing with reinforcement learning
Network slicing allows mobile network operators to virtualize infrastructures and provide
customized slices for supporting various use cases with heterogeneous requirements …
customized slices for supporting various use cases with heterogeneous requirements …
Tutti: coupling 5G RAN and mobile edge computing for latency-critical video analytics
Mobile edge computing (MEC), as a key ingredient of the 5G ecosystem, is envisioned to
support demanding applications with stringent latency requirements. The basic idea is to …
support demanding applications with stringent latency requirements. The basic idea is to …
Improving rating prediction in multi-criteria recommender systems via a collective factor model
Existing recommendation methods usually train several independent modules for each
rating information instead of an end-to-end manner. Therefore, these methods may be …
rating information instead of an end-to-end manner. Therefore, these methods may be …
Quickskill: Novice skill estimation in online multiplayer games
Matchmaking systems are vital for creating fair matches in online multiplayer games, which
directly affects players' satisfactions and game experience. Most of the matchmaking …
directly affects players' satisfactions and game experience. Most of the matchmaking …
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of
microservice systems. However, performing RCA on modern microservice systems can be …
microservice systems. However, performing RCA on modern microservice systems can be …