Scalable Network Management Using Lightweight Programmable Network Services

2006 ◽  
Vol 14 (1) ◽  
pp. 15-47 ◽  
Author(s):  
Kenneth L. Calvert ◽  
James Griffioen ◽  
Su Wen
Author(s):  
Christos Bouras ◽  
Apostolos Gkamas ◽  
Kostas Stamos

In this chapter, the authors present some of the latest developments related to the provisioning of Quality of Service (QoS) in today’s networks and the associated network management structures that are or will be deployed to support them. They first give a brief overview of the most important Quality of Service proposals in the areas of Layer 2 (L2) and Layer 3 (L3) QoS provisioning in backbone networks, and they discuss the network management structures and brokers that have been proposed in order to implement these services. As a case study, they describe the pan-european research and academic network, which is supported centrally by GEANT and which encompasses multiple independent NRENs (National Research and Education Networks). In the last few years, GEANT has developed and deployed a number of production and pilot services meant for the delivery of quality network services to the end users across Europe.


Along with the heterogeneous devices, Web-based content increases the necessity for computational services. However, recent trends make it difficult to execute such computations at the terminal side, whereas service providers often allow computations during different load operations. Many computational services are using conventional distributed systems, which provide successful packet transmission in IP networks. In this chapter, proxy architecture and its related tasks are discussed. Some of the necessary requirements, such as incremental scalability, 24x7 availability, and cost-effectiveness, are recognized for scalable network services. To administrate a large cluster and to construct a cluster-based scalable network services, a layered architecture is recommended. This architecture captures the scalable network service requirements and utilizes service-programming models to perform Transformation, Aggregation, Caching, and Customization (TACC) of Internet substance. For better performance, the architecture with the TACC programming model uses data semantics to create novel network services.


Author(s):  
Armando Fox ◽  
Steven D. Gribble ◽  
Yatin Chawathe ◽  
Eric A. Brewer ◽  
Paul Gauthier

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3852
Author(s):  
Nina Slamnik-Kriještorac ◽  
Erik de Britto e Silva ◽  
Esteban Municio ◽  
Henrique C. Carvalho de Resende ◽  
Seilendria A. Hadiwardoyo ◽  
...  

By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing the overall latency. Fostering the synergy between 5G and MEC brings ultra-reliable low-latency in data transmission, and paves the way towards numerous latency-sensitive automotive use cases, with the ultimate goal of enabling autonomous driving. Despite the benefits of significant latency reduction, bringing MEC platforms into 5G-based vehicular networks imposes severe challenges towards poorly scalable network management, as MEC platforms usually represent a highly heterogeneous environment. Therefore, there is a strong need to perform network management and orchestration in an automated way, which, being supported by Software Defined Networking (SDN) and Network Function Virtualization (NFV), will further decrease the latency. With recent advances in SDN, along with NFV, which aim to facilitate management automation for tackling delay issues in vehicular communications, we study the closed-loop life-cycle management of network services, and map such cycle to the Management and Orchestration (MANO) systems, such as ETSI NFV MANO. In this paper, we provide a comprehensive overview of existing MANO solutions, studying their most important features to enable network service and resource orchestration in MEC-enhanced vehicular networks. Finally, using a real testbed setup, we conduct and present an extensive performance analysis of Open Baton and Open Source MANO that are, due to their lightweight resource footprint, and compliance to ETSI standards, suitable solutions for resource and service management and orchestration within the network edge.


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