A comprehensive survey of network function virtualization

B Yi, X Wang, K Li, M Huang - Computer Networks, 2018 - Elsevier
Today's networks are filled with a massive and ever-growing variety of network functions that
coupled with proprietary devices, which leads to network ossification and difficulty in network …

FAST: Flexible and low-latency state transfer in mobile edge computing

TV Doan, GT Nguyen, M Reisslein, FHP Fitzek - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation,
networking, and storage resources, close to end users, thus reducing end-to-end latency …

DINC: Toward distributed in-network computing

C Zheng, H Tang, M Zang, X Hong, A Feng… - Proceedings of the …, 2023 - dl.acm.org
In-network computing provides significant performance benefits, load reduction, and power
savings. Still, an in-network service's functionality is strictly limited to a single hardware …

NFV platforms: Taxonomy, design choices and future challenges

T Zhang, H Qiu, L Linguaglossa… - … on Network and …, 2020 - ieeexplore.ieee.org
Due to the intrinsically inefficient service provisioning in traditional networks, Network
Function Virtualization (NFV) keeps gaining attention from both industry and academia. By …

Designing optimal middlebox recovery schemes with performance guarantees

Y Kanizo, O Rottenstreich, I Segall… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Enabling functionality in a modern network is achieved through the use of middleboxes.
Middleboxes suffer from temporal unavailability due to various reasons, such as hardware …

Efficient flow migration for NFV with graph-aware deep reinforcement learning

P Sun, J Lan, J Li, Z Guo, Y Hu, T Hu - Computer Networks, 2020 - Elsevier
Abstract Network Function Virtualization (NFV) enables flexible deployment of network
services as applications. However, it is a big challenge to guarantee the Quality of Service …

Enabling NFV elasticity control with optimized flow migration

C Sun, J Bi, Z Meng, T Yang… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Network function virtualization (NFV) together with software defined networking (SDN) offers
the potential for enhancing service delivery flexibility and reducing overall costs. Based on …

Logsayer: Log pattern-driven cloud component anomaly diagnosis with machine learning

P Zhou, Y Wang, Z Li, X Wang… - 2020 IEEE/ACM 28th …, 2020 - ieeexplore.ieee.org
Anomaly diagnosis is a critical task for building a reliable cloud system and speeding up the
system recovery form failures. With the increase of scales and applications of clouds, they …

Competitive online convex optimization with switching costs and ramp constraints

M Shi, X Lin, S Fahmy - IEEE/ACM Transactions on Networking, 2021 - ieeexplore.ieee.org
We investigate competitive online algorithms for online convex optimization (OCO) problems
with linear in-stage costs, switching costs and ramp constraints. While OCO problems have …

MicroNF: An Efficient Framework for Enabling Modularized Service Chains in NFV

Z Meng, J Bi, H Wang, C Sun… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
The modularization of service function chains (SFCs) in network function virtualization (NFV)
could introduce significant performance overhead and resource efficiency degradation due …