Using gans for sharing networked time series data: Challenges, initial promise, and open questions
Limited data access is a longstanding barrier to data-driven research and development in
the networked systems community. In this work, we explore if and how generative …
the networked systems community. In this work, we explore if and how generative …
Real-time incident prediction for online service systems
Incidents in online service systems could dramatically degrade system availability and
destroy user experience. To guarantee service quality and reduce economic loss, it is …
destroy user experience. To guarantee service quality and reduce economic loss, it is …
- TRANSFER: A Novel Framework for Efficient Deep Transfer Learning in Networking
In this paper, we propose a novel framework, namely Q-TRANSFER, to address the
insufficiency problem of the actual training data sets in modern networking platforms in order …
insufficiency problem of the actual training data sets in modern networking platforms in order …
Online VNF chaining and predictive scheduling: Optimality and trade-offs
For NFV systems, the key design space includes the function chaining for network requests
and the resource scheduling for servers. The problem is challenging since NFV systems …
and the resource scheduling for servers. The problem is challenging since NFV systems …
A Comprehensive Study of Bugs in Software Defined Networks
A Bhardwaj, Z Zhou, TA Benson - 2021 51st Annual IEEE/IFIP …, 2021 - ieeexplore.ieee.org
Software-defined networking (SDN) enables innovative and impressive solutions in the
networking domain by decoupling the control plane from the data plane. In an SDN …
networking domain by decoupling the control plane from the data plane. In an SDN …
A real application enabled traffic generator for networking ai model development
Network measurement and management are more challenging in the next generation
network systems due to the increasing demand for communications and complex network …
network systems due to the increasing demand for communications and complex network …
Proactive live migration for virtual network functions using machine learning
VM (Virtual Machine) live migration is a server virtualization technique for deploying a
running VM to another server node while minimizing downtime of service the VM provides …
running VM to another server node while minimizing downtime of service the VM provides …
LOCOMOTIVE 5G Core for 6G ready Resilient and Highly Available Network Slices and SFCs
S Sarkar, S Vittal - 2022 18th International Conference on …, 2022 - ieeexplore.ieee.org
The presence of a Load Balancer (LB) s is much significant to keep up the High Availability
(HA) and resilience of the scalable 5G Core (5GC). The whole system may collapse just …
(HA) and resilience of the scalable 5G Core (5GC). The whole system may collapse just …
The next generation platform as a service: Composition and deployment of platforms and services
The emergence of widespread cloudification and virtualisation promises increased flexibility,
scalability, and programmability for the deployment of services by Vertical Service Providers …
scalability, and programmability for the deployment of services by Vertical Service Providers …
Cloud native applications profiling using a graph neural networks approach
The convergence of Telecommunication and industry operational networks towards cloud
native applications has enabled the idea to integrate protection layers to harden security …
native applications has enabled the idea to integrate protection layers to harden security …