Joint Optimization of Scaling and Placement of Virtual Network Services

被引:16
作者
Draexler, Sevil [1 ]
Karl, Holger [1 ]
Mann, Zoltan Adam [2 ]
机构
[1] Paderborn Univ, Paderborn, Germany
[2] Univ Duisburg Essen, Essen, Germany
来源
2017 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID) | 2017年
基金
欧盟地平线“2020”; 匈牙利科学研究基金会;
关键词
D O I
10.1109/CCGRID.2017.25
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The management of complex network services requires flexible and efficient service provisioning as well as optimized handling of continuous changes in the workload of the services. To adapt to changes in the demand, service components need to be replicated (scaling) and allocated to physical resources (placement) dynamically. In this paper, we propose a fully automated approach to the joint optimization problem of scaling and placement, enabling quick reaction to changes. We formalize the problem, analyze its complexity, and develop two algorithms to solve it. Empirical results show the applicability and effectiveness of the proposed approach.
引用
收藏
页码:365 / 370
页数:6
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