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JASPER: Joint Optimization of Scaling, Placement, and Routing of Virtual Network Services

Authors :
Dräxler, Sevil
Karl, Holger
Mann, Zoltán Ádám
Publication Year :
2017

Abstract

To adapt to continuously changing workloads in networks, components of the running network services may need to be replicated (scaling the network service) and allocated to physical resources (placement) dynamically, also necessitating dynamic re-routing of flows between service components. In this paper, we propose JASPER, a fully automated approach to jointly optimizing scaling, placement, and routing for complex network services, consisting of multiple (virtualized) components. JASPER handles multiple network services that share the same substrate network; services can be dynamically added or removed and dynamic workload changes are handled. Our approach lets service designers specify their services on a high level of abstraction using service templates. From the service templates and a description of the substrate network, JASPER automatically makes scaling, placement and routing decisions, enabling quick reaction to changes. We formalize the problem, analyze its complexity, and develop two algorithms to solve it. Extensive empirical results show the applicability and effectiveness of the proposed approach.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1711.10839
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/TNSM.2018.2846572