27 citations · 27 across the 5 of their papers we have counts for
6 papers
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing
Sayantan Chowdhury, Ben Liang, Ali Tizghadam +1
Network traffic classification using machine learning techniques has been widely studied. Most existing schemes classify entire traffic flows, but there are major limitations to th…
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
End-to-end delay is a critical attribute of quality of service (QoS) in application domains such as cloud computing and computer networks. This metric is particularly important in…
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Ensuring quality of service (QoS) guarantees in service systems is a challenging task, particularly when the system is composed of more fine-grained services, such as service funct…
Probabilistic Bounds on the End-to-End Delay of Service Function Chains using Deep MDN
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Ensuring the conformance of a service system's end-to-end delay to service level agreement (SLA) constraints is a challenging task that requires statistical measures beyond the ave…
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
Motivated by interest in providing more efficient services in customer service systems, we use statistical learning methods and delay history information to predict the conditional…
Elascale: Autoscaling and Monitoring as a Service
Hamzeh Khazaei, Rajsimman Ravichandiran, Byungchul Park +3
Auto-scalability has become an evident feature for cloud software systems including but not limited to big data and IoT applications. Cloud application providers now are in full co…