RASCAR: Recovery-Aware Switch-Controller Assignment and Routing in SDN

计算机科学 前进飞机 控制器(灌溉) 路径(计算) 启发式 分布式计算 解耦(概率) 布线(电子设计自动化) 计算机网络 工程类 农学 生物 控制工程 人工智能 网络数据包
作者
S. Sedef Savas,Massimo Tornatore,Ferhat Dikbıyık,Ayşegül Yayımlı,Charles U. Martel,Biswanath Mukherjee
出处
期刊:IEEE Transactions on Network and Service Management [Institute of Electrical and Electronics Engineers]
卷期号:15 (4): 1222-1234 被引量:23
标识
DOI:10.1109/tnsm.2018.2879865
摘要

Decoupling control and data planes in a software-defined network (SDN) has its advantages along with its challenges. Especially, resilient communication between elements in the data plane (switches) and in the control plane (controllers) is key to SDN's success as disruption of this communication after a failure can severely affect data-plane functions. After a failure, simultaneous recovery of all switch-controller communication paths (control paths) may not be possible, and multiple recovery stages may be required. Since restoration of disrupted data paths depends on the recovery of disrupted control paths feeding control information to switches, the performance of control-path recovery seriously affects data-path recovery performance. The assignment of controller to switches and the routing of controller-switch control paths are what determines the control-plane recovery performance, and hence should be performed in conjunction with a recovery plan after failures. This study proposes an algorithm for recovery-aware switch-controller assignment and routing (RASCAR), which enables fast data-path recovery after a set of failures (e.g., single point of failures and disasters). We formulate the problem as an integer linear program and propose an efficient heuristic algorithm to solve large problem instances. Our illustrative numerical studies show that RASCAR significantly reduces the data-path restoration times after any failure with a minor increase in resource consumption of control paths.

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
东8发布了新的文献求助20
1秒前
执名之念发布了新的文献求助20
1秒前
1秒前
科研通AI6.2应助123采纳,获得10
3秒前
eddie777完成签到,获得积分10
4秒前
5秒前
炸洋芋完成签到,获得积分10
5秒前
风来关注了科研通微信公众号
5秒前
可爱的函函应助好困采纳,获得10
5秒前
小蘑菇应助河里蹿采纳,获得10
6秒前
163关闭了163文献求助
6秒前
笑一笑发布了新的文献求助10
8秒前
香蕉觅云应助刘西瓜采纳,获得10
8秒前
ZZQ完成签到 ,获得积分10
10秒前
李健应助dbdxyty采纳,获得10
10秒前
eddie777发布了新的文献求助10
11秒前
11秒前
Ava应助Maestro_S采纳,获得10
11秒前
何时出发完成签到,获得积分10
12秒前
xiaolu发布了新的文献求助20
12秒前
斯文败类应助笑点低硬币采纳,获得10
12秒前
Youx发布了新的文献求助10
12秒前
13秒前
16秒前
ticsadis完成签到,获得积分10
16秒前
123发布了新的文献求助10
16秒前
16秒前
自由如风完成签到 ,获得积分10
16秒前
xxxdie完成签到,获得积分10
17秒前
Jasper应助林中鸟采纳,获得10
17秒前
香蕉觅云应助南暮采纳,获得10
18秒前
河里蹿发布了新的文献求助10
19秒前
桐桐应助坚强寻真采纳,获得30
19秒前
21秒前
菜菜完成签到 ,获得积分10
21秒前
李健的粉丝团团长应助ake采纳,获得10
22秒前
22秒前
吗喽小祁完成签到,获得积分10
22秒前
大模型应助阿衍采纳,获得10
23秒前
Precipitate完成签到,获得积分10
24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
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Netter collection Volume 9 Part I upper digestive tract及Part III Liver Biliary Pancreas 3rd 2024 的超高清PDF,大小约几百兆,不是几十兆版本的 1050
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
Research Handbook on the Law of the Sea 1000
Contemporary Debates in Epistemology (3rd Edition) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6169813
求助须知:如何正确求助?哪些是违规求助? 7997355
关于积分的说明 16634247
捐赠科研通 5274702
什么是DOI,文献DOI怎么找? 2813855
邀请新用户注册赠送积分活动 1793558
关于科研通互助平台的介绍 1659377