Survivable Virtual Network Mapping against Double-Link Failures Based on Virtual Network Capacity Sharing

计算机科学 虚拟网络 生存能力 服务质量 计算机网络 分布式计算 可靠性(半导体) 钥匙(锁) 灵活性(工程) 切片 服务(商务) 计算机安全 统计 量子力学 物理 经济 万维网 经济 功率(物理) 数学
作者
Emanuele Viadana,Omran Ayoub,Francesco Musumeci,Massimo Tornatore
标识
DOI:10.23919/cnsm52442.2021.9615603
摘要

Network Slicing is one of the key enabling technologies in 5G networks, as it allows the same network infrastructure to host numerous services, characterized by different Quality of Service (QoS) requirements. Network slicing provides greater flexibility when assigning resources to virtual networks (VNs, or, equivalently, “network slices”), allowing to meet very diverse service requirements. However, network slicing also brings numerous challenges in terms of management of network resources. Among these, service reliability is one of the most important, especially in light of the rising importance of ultra-reliable services in 5G. In this study, we investigate the Survivable Virtual Network Mapping (SVNM) problem focusing on double-link failures. SVNM against double-link failures can be guaranteed enforcing appropriate SVNM constraints, but this approach requires excessive redundant capacity. Capacity sharing represents a more capacity-efficient solution to ensure survivability against double-link failures. Hence, we propose a new SVNM strategy that allows capacity sharing across different virtual networks in case of double-link failure. To evaluate benefits of the proposed technique we categorize six different SVNM scenarios (with and without capacity sharing, jointly applied with SVNM or not) and formalize them through Integer Linear Programming (ILP) models. Results show that the proposed technique for SVNM with capacity sharing enables availability gains (up to about 29%) over traditional SVNM against single-link failures and significant capacity savings (up to about 50%) over SVNM against double-link failures. The advantages are more significant for increasing number of virtual networks.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
空空完成签到,获得积分10
刚刚
乐乐应助周金鑫采纳,获得10
刚刚
2秒前
xmhxpz完成签到,获得积分10
5秒前
5秒前
安逸完成签到,获得积分10
5秒前
一名研究牲完成签到,获得积分10
6秒前
nkk发布了新的文献求助10
6秒前
想吃很多都不胖完成签到 ,获得积分10
7秒前
木木发布了新的文献求助10
8秒前
9秒前
涵忆发布了新的文献求助20
9秒前
蔡徐坤应助格格采纳,获得10
9秒前
望凌烟完成签到,获得积分10
10秒前
积极的依白应助土豪的柔采纳,获得10
11秒前
肖承祥完成签到 ,获得积分10
11秒前
seekingalone完成签到,获得积分10
11秒前
宋佳珍完成签到,获得积分10
13秒前
无铭亚空发布了新的文献求助10
14秒前
突突突完成签到,获得积分10
14秒前
14秒前
柏林完成签到 ,获得积分10
16秒前
沛林应助科研通管家采纳,获得10
17秒前
CodeCraft应助科研通管家采纳,获得10
17秒前
传奇3应助科研通管家采纳,获得10
17秒前
17秒前
无语发布了新的文献求助10
18秒前
顾矜应助科研通管家采纳,获得10
18秒前
英俊的铭应助科研通管家采纳,获得30
18秒前
18秒前
无极微光应助科研通管家采纳,获得20
18秒前
18秒前
千空应助科研通管家采纳,获得10
18秒前
18秒前
丘比特应助科研通管家采纳,获得10
18秒前
孙周应助科研通管家采纳,获得10
18秒前
Jasper应助科研通管家采纳,获得10
18秒前
18秒前
renrunxue应助科研通管家采纳,获得10
18秒前
大个应助科研通管家采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6028666
求助须知:如何正确求助?哪些是违规求助? 7694077
关于积分的说明 16187228
捐赠科研通 5175858
什么是DOI,文献DOI怎么找? 2769783
邀请新用户注册赠送积分活动 1753178
关于科研通互助平台的介绍 1638965