scholarly journals Research Challenges for Network Function Virtualization - Re-Architecting Middlebox for High Performance and Efficient, Elastic and Resilient Platform to Create New Services -

2018 ◽  
Vol E101.B (1) ◽  
pp. 96-122 ◽  
Author(s):  
Kohei SHIOMOTO
Keyword(s):  
High Performance ◽  
Network Function Virtualization ◽  
Network Function ◽  
Research Challenges

scholarly journals FaaM: FPGA-as-a-Microservice - A Case Study for Data Compression

2019 ◽  
Vol 214 ◽  
pp. 07029
Author(s):  
David Ojika ◽  
Ann Gordon-Ross ◽  
Herman Lam ◽  
Bhavesh Patel
Keyword(s):  
High Performance ◽  
Network Function Virtualization ◽  
Communication Overhead ◽  
Network Function ◽  
Gate Arrays ◽  
Emerging Trends ◽  
Field Programmable ◽  
Amazon Web Services ◽  
Programmable Gate Arrays

Field-programmable gate arrays (FPGAs) have largely been used in communication and high-performance computing and given the recent advances in big data and emerging trends in cloud computing (e.g., serverless [18]), FPGAs are increasingly being introduced into these domains (e.g., Microsoft’s datacenters [6] and Amazon Web Services [10]). To address these domains’ processing needs, recent research has focused on using FPGAs to accelerate workloads, ranging from analytics and machine learning to databases and network function virtualization. In this paper, we present an ongoing effort to realize a high-performance FPGA-as-a-microservice (FaaM) architecture for the cloud. We discuss some of the technical challenges and propose several solutions for efficiently integrating FPGAs into virtualized environments. Our case study deploying a multithreaded, multi-user compression as a microservice using the FaaM architecture indicate that microservices-based FPGA acceleration can sustain high-performance compared to straightforward implementation with minimal to no communication overhead despite the hardware abstraction.

scholarly journals Network Function Virtualization: State-of-the-Art and Research Challenges

2016 ◽  
Vol 18 (1) ◽  
pp. 236-262 ◽  
Author(s):  
Rashid Mijumbi ◽  
Joan Serrat ◽  
Juan-Luis Gorricho ◽  
Niels Bouten ◽  
Filip De Turck ◽  
...  
Keyword(s):  
State Of The Art ◽  
Network Function Virtualization ◽  
Network Function ◽  
Research Challenges

scholarly journals Orchestration and Control in Software-Defined 5G Networks: Research Challenges

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Gianfranco Nencioni ◽  
Rosario G. Garroppo ◽  
Andres J. Gonzalez ◽  
Bjarne E. Helvik ◽  
Gregorio Procissi
Keyword(s):  
Access Network ◽  
Network Function Virtualization ◽  
Future Research ◽  
Major Step ◽  
Core Networks ◽  
Network Function ◽  
Research Challenges ◽  
Radio Access ◽  
Cost Efficient ◽  
And Control

The fifth generation (5G) of cellular networks promises to be a major step in the evolution of wireless technology. 5G is planned to be used in a very broad set of application scenarios. These scenarios have strict heterogeneous requirements that will be accomplished by enhancements on the radio access network and a collection of innovative wireless technologies. Softwarization technologies, such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), will play a key role in integrating these different technologies. Network slicing emerges as a cost-efficient solution for the implementation of the diverse 5G requirements and verticals. The 5G radio access and core networks will be based on a SDN/NFV infrastructure, which will be able to orchestrate the resources and control the network in order to efficiently and flexibly and with scalability provide network services. In this paper, we present the up-to-date status of the software-defined 5G radio access and core networks and a broad range of future research challenges on the orchestration and control aspects.

State of the Art and Research Challenges in the Security Technologies of Network Function Virtualization

2020 ◽  
Vol 24 (1) ◽  
pp. 25-35
Author(s):  
Xiaochun Wu ◽  
Kaiyu Hou ◽  
Xue Leng ◽  
Xing Li ◽  
Yinbo Yu ◽  
...  
Keyword(s):  
State Of The Art ◽  
Network Function Virtualization ◽  
Network Function ◽  
Security Technologies ◽  
Research Challenges

scholarly journals Deploying CPU-Intensive Applications on MEC in NFV Systems: The Immersive Video Use Case

Computers ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 55 ◽  
Author(s):  
Giorgio Cattaneo ◽  
Fabio Giust ◽  
Claudio Meani ◽  
Daniele Munaretto ◽  
Pietro Paglierani
Keyword(s):  
High Performance ◽  
End Users ◽  
Network Function Virtualization ◽  
Radio Link ◽  
Management Level ◽  
Network Function ◽  
High Data ◽  
Data Rates ◽  
Multi Access ◽  
Over The Top

Multi-access Edge Computing (MEC) will be a technology pillar of forthcoming 5G networks. Nonetheless, there is a great interest in also deploying MEC solutions in current 4G infrastructures. MEC enables data processing in proximity to end users. Thus, latency can be minimized, high data rates locally achieved, and real-time information about radio link status or consumer geographical position exploited to develop high-value services. To consolidate network elements and edge applications on the same virtualization infrastructure, network operators aim to combine MEC with Network Function Virtualization (NFV). However, MEC in NFV integration is not fully established yet: in fact, various architectural issues are currently open, even at standardization level. This paper describes a novel MEC in an NFV system which successfully combines, at management level, MEC functional blocks with an NFV Orchestrator, and can neutrally support any “over the top” Mobile Edge application with minimal integration effort. A specific ME app combined with an end-user app for the provision of immersive video services is presented. To provide low latency, CPU-intensive services to end users, the proposed architecture exploits High-Performance Computing resources embedded in the edge infrastructure. Experimental results showing the effectiveness of the proposed architecture are reported and discussed.

scholarly journals HS-MOEA/D: An Oriented Algorithm for Delay and Reliability VNF-SC Deployment

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hejun Xuan ◽  
Lei You ◽  
Zhenghui Liu ◽  
Yanling Li ◽  
Xiaokai Yang
Keyword(s):  
High Performance ◽  
Harmony Search ◽  
Evolutionary Strategy ◽  
Network Function Virtualization ◽  
Network Resources ◽  
Service Chain ◽  
Network Function ◽  
Demand Distribution ◽  
Network Flexibility ◽  
New Harmony

Network function virtualization (NFV) technology can realize on-demand distribution of network resources and improve network flexibility. It has become one of the key technologies for next-generation communications. Virtual network function service chain (VNF-SC) deployment is an important problem faced by network function virtualization technology. In this paper, the problem, VNF deployment for VNF-SC, is investigated. First, a two-objective mathematical model, which maximizes balancing and reliability of SFC, is established. In this model, VNFs are divided into two classes, i.e., part of required VNFs in each VNF-SC is dependent, others are independent. Second, harmony search-based MOEA/D (HS-MOEA/D) is proposed to solve the model effectively. In HS-MOEA/D, Chebyshev decomposition mechanism is used to transform multiobjective optimization problem into a series of single-objective optimization subproblems. A new evolutionary strategy is deeply studied in order to propose a new harmony search (HS) algorithm. Finally, to show high performance of the proposed algorithm, a large number of experiments are conducted. The simulation results show that the proposed algorithm enhances the reliability of SFC and reduces the end-to-end delay.

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