scholarly journals Relationship-Oriented Software Defined AS-Level Fast Rerouting for Multiple Link Failures

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Chunxiu Li ◽  
Xin Li ◽  
Ke Li ◽  
Jiafu Huang ◽  
Zhansheng Feng ◽  
...  
Keyword(s):  
Distributed Control ◽  
Large Scale ◽  
Network Performance ◽  
Failure Recovery ◽  
Internet Routing ◽  
Link Failures ◽  
Significant Control ◽  
Control Overhead ◽  
Fast Reroute ◽  
Multiple Link Failures

Large-scale deployments of mission-critical services have led to stringent demands on Internet routing, but frequently occurring network failures can dramatically degrade the network performance. However, Border Gateway Protocol (BGP) can not react quickly to recover from them. Although extensive research has been conducted to deal with the problem, the multiple failure scenarios have never been properly addressed due to the limit of distributed control plane. In this paper, we propose a local fast reroute approach to effectively recover from multiple link failures in one administrative domain. The principle of Software Defined Networking (SDN) is used to achieve the software defined AS-level fast rerouting. Considering AS relationships, efficient algorithms are proposed to automatically and dynamically find protection paths for multiple link failures; then OpenFlow forwarding rules are installed on routers to provide data forwarding continuity. Our approach is able to ensure applicability to ASes with flexibility and adaptability to multiple link failures, contributing toward improving the network performance. Through experimental results, we show that our proposal provides effective failure recovery and does not introduce significant control overhead to the network.

Capture Strategy Based on a Distributed Control System for a Large-scale Space End-Effector

ROBOT ◽  
2011 ◽  
Vol 33 (4) ◽  
pp. 434-439 ◽  
Author(s):  
Dangyang JIE ◽  
Fenglei NI ◽  
Yisong TAN ◽  
Hong LIU ◽  
Hegao CAI
Keyword(s):  
Control System ◽  
Distributed Control ◽  
Large Scale ◽  
Scale Space ◽  
Distributed Control System ◽  
End Effector

scholarly journals HTPC: heterogeneous traffic-aware partition coding for random packet spraying in data center networks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiawei Huang ◽  
Shiqi Wang ◽  
Shuping Li ◽  
Shaojun Zou ◽  
Jinbin Hu ◽  
...  
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Network Performance ◽  
Rooted Tree ◽  
Heterogeneous Traffic ◽  
Data Center Networks ◽  
Packet Reordering ◽  
Traffic Characteristics ◽  
Network Utilization ◽  
The Impact

AbstractModern data center networks typically adopt multi-rooted tree topologies such leaf-spine and fat-tree to provide high bisection bandwidth. Load balancing is critical to achieve low latency and high throughput. Although the per-packet schemes such as Random Packet Spraying (RPS) can achieve high network utilization and near-optimal tail latency in symmetric topologies, they are prone to cause significant packet reordering and degrade the network performance. Moreover, some coding-based schemes are proposed to alleviate the problem of packet reordering and loss. Unfortunately, these schemes ignore the traffic characteristics of data center network and cannot achieve good network performance. In this paper, we propose a Heterogeneous Traffic-aware Partition Coding named HTPC to eliminate the impact of packet reordering and improve the performance of short and long flows. HTPC smoothly adjusts the number of redundant packets based on the multi-path congestion information and the traffic characteristics so that the tailing probability of short flows and the timeout probability of long flows can be reduced. Through a series of large-scale NS2 simulations, we demonstrate that HTPC reduces average flow completion time by up to 60% compared with the state-of-the-art mechanisms.

scholarly journals Adaptive Distributed Control for Large-Scale Systems with Unknown Interconnection

2020 ◽  
Vol 53 (2) ◽  
pp. 8738-8743
Author(s):  
M.F. Arevalo-Castiblanco ◽  
D. Tellez-Castro ◽  
E. Mojica-Nava ◽  
J. Sofrony
Keyword(s):  
Distributed Control ◽  
Large Scale ◽  
Large Scale Systems

scholarly journals A comprehensive evaluation of cache utilization characteristics in large scale WSN considering network driven cache replacement techniques

2018 ◽  
Vol 188 ◽  
pp. 05004
Author(s):  
Christos Panagiotou ◽  
Christos Antonopoulos ◽  
Stavros Koubias
Keyword(s):  
Smart City ◽  
Large Scale ◽  
Network Performance ◽  
Comprehensive Evaluation ◽  
Resource Conservation ◽  
Data Sources ◽  
Data Cache ◽  
Cache Replacement ◽  
Large Scale Networks ◽  
Result Analysis

WSNs as adopted in current smart city deployments, must address demanding traffic factors and resilience in failures. Furthermore, caching of data in WSN can significantly benefit resource conservation and network performance. However, data sources generate data volumes that could not fit in the restricted data cache resources of the caching nodes. This unavoidably leads to data items been evicted and replaced. This paper aims to experimentally evaluate the prominent caching techniques in large scale networks that resemble the Smart city paradigm regarding network performance with respect to critical application and network parameters. Through respective result analysis valuable insights are provided concerning the behaviour of caching in typical large scale WSN scenarios.

Greenhouse gas dynamics in an anthropogenically modified tropical river continuum

2021 ◽  
Author(s):  
Siddhartha Sarkar ◽  
Ajayeta Rathi ◽  
Sanjeev Kumar
Keyword(s):  
Flow Regime ◽  
Residence Time ◽  
Large Scale ◽  
Channel Length ◽  
Western India ◽  
River Continuum ◽  
Significant Control ◽  
Process Dynamics ◽  
Sabarmati River ◽  
The City

<p>Recent decades have witnessed large scale modifications in the natural flow regime of river systems. What follows are shifts in various instream processes that ultimately govern the air-water fluxes of major greenhouse gases (GHGs) like CH<sub>4</sub>, CO<sub>2</sub>, and N<sub>2</sub>O. However, due to paucity of data, the process dynamics and controls on fluxes of GHGs in tropical rivers are understudied, contributing to uncertainty in their global budget. In this study, an attempt was made to estimate the fluxes of GHGs and thereby decipher the controls on evasive processes in an anthropogenically affected Sabarmati River (catchment ~ 27,674 km<sup>2</sup> and channel length ~371 km) located in semi-arid western India. After originating from a relatively pristine region, Sabarmati passes through a major twin city (Ahmedabad-Gandhinagar), where construction of a riverfront resulted in increased residence time of water within the city limits.</p><p>To compare and understand changes in in-stream biogeochemical processes as a result of human interventions, sampling was carried out at 50 sites along the Sabarmati river continuum and a parallel running, but not so anthropogenically modified, Mahi River along with their tributaries. Results indicated relatively lower fluxes of GHGs in pristine upstream of Sabarmati and Mahi River continuum with CH<sub>4</sub>, CO<sub>2</sub> and N<sub>2</sub>O fluxes at 0.99 ± 0.35 mg C m<sup>-2 </sup>d<sup>-1</sup>, 4250.99 ± 477.74 mg C m<sup>-2 </sup>d<sup>-1 </sup>and 0.055 ± 0.026 mg N m<sup>-2 </sup>d<sup>-1</sup> respectively. The effect of higher residence time of water could be seen in the riverfront with increased CH<sub>4 </sub>and N<sub>2</sub>O fluxes at 3.27 ± 1.02 mg C m<sup>-2 </sup>d<sup>-1 </sup>and 0.129 ± 0.024 mg N m<sup>-2 </sup>d<sup>-1</sup>, respectively. However, the CO<sub>2</sub> flux did not show much increase. The fluxes increased significantly post city limits until its mouth in the Arabian Sea with extremely large flux for methane (CH<sub>4</sub>: 102.84 ± 41.32 mg C m<sup>-2 </sup>d<sup>-1</sup>, CO<sub>2</sub>: 9563.58 ± 1252.43 mg C m<sup>-2 </sup>d<sup>-1</sup>, and N<sub>2</sub>O: 0.16 ± 0.11 mg N m<sup>-2 </sup>d<sup>-1</sup>, respectively). Overall, it appeared that even within the anthropogenically stressed river, the nature of flow regime, exerts significant control on cycling of elements leading to differential fluxes. Also, the level of coupling between nitrogen and carbon appeared to change within the course of the river.</p>

Stabilization of Large-Scale Fuzzy Interconnected System

2017 ◽  
pp. 34-83
Keyword(s):  
Distributed Control ◽  
Output Feedback ◽  
System Approach ◽  
Large Scale ◽  
State Feedback ◽  
Controller Design ◽  
Singular System ◽  
Interconnected System ◽  
Distributed Control Problem ◽  
Static Output

The chapter addresses the stabilization problem for large-scale fuzzy interconnected systems. Our aim is to present the design results on both the state feedback and static-output feedback (SOF) stabilizing fuzzy controllers. Firstly, by using some bounding techniques, the reduced number of LMIs to the decentralized state feedback controller design will be derived. Then, by using some matrix transformation techniques and singular system approach, we will also derive some design results on decentralized SOF control in terms of LMIs. Moreover, the proposed design results on the decentralized control will be extended to address the distributed control problem. Finally, several examples are given to illustrate the use of corresponding results.

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