scholarly journals EmuStack: An OpenStack-Based DTN Network Emulation Platform (Extended Version)

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Haifeng Li ◽  
Huachun Zhou ◽  
Hongke Zhang ◽  
Bohao Feng ◽  
Wenfeng Shi
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Large Scale ◽  
Network Simulation ◽  
Network Virtualization ◽  
Qualitative Change ◽  
Delay Tolerant Network ◽  
Network Emulation ◽  
Simulation Based ◽  
Delay Tolerant

With the advancement of computing and network virtualization technology, the networking research community shows great interest in network emulation. Compared with network simulation, network emulation can provide more relevant and comprehensive details. In this paper, EmuStack, a large-scale real-time emulation platform for Delay Tolerant Network (DTN), is proposed. EmuStack aims at empowering network emulation to become as simple as network simulation. Based on OpenStack, distributed synchronous emulation modules are developed to enable EmuStack to implement synchronous and dynamic, precise, and real-time network emulation. Meanwhile, the lightweight approach of using Docker container technology and network namespaces allows EmuStack to support a (up to hundreds of nodes) large-scale topology with only several physical nodes. In addition, EmuStack integrates the Linux Traffic Control (TC) tools with OpenStack for managing and emulating the virtual link characteristics which include variable bandwidth, delay, loss, jitter, reordering, and duplication. Finally, experiences with our initial implementation suggest the ability to run and debug experimental network protocol in real time. EmuStack environment would bring qualitative change in network research works.

Quality of Service on Link Aggregation Network Virtualization for Docker Containers

2019 ◽  
Vol 886 ◽  
pp. 227-232
Author(s):  
Yanapat Chuchuen ◽  
Kritwara Rattanaopas ◽  
Sarapee Chunkaew
Keyword(s):  
Traffic Control ◽  
Load Balance ◽  
High Speed ◽  
Large Scale ◽  
Network Virtualization ◽  
Network Bandwidth ◽  
Working Together ◽  
Multiple Network ◽  
Implementation Tool

Docker engine is an extremely powerful tool for PaaS platform of cloud computing. It gives benefits for large-scale of internet services. Web service is basic service for everyone who requires to access internet that web infrastructure must has scalability with load-balance web server called reverse proxy. The key answers for a large-scale web must have multiple web servers working together with high speed bandwidth. Moreover, multiple clusters can find in the same data center there are required to assign priority and quality of each cluster service. We investigate load-balance assign link aggregation with network QoS by using pipework script and traffic control tool in frontend reverse proxy server on each cluster. Our research evaluates scenario of network QoS ratios which include 50/50, 60/40, 70/30 and 80/20. We compare network bandwidth between both web reverse proxy clusters. The results present our designed and implementation tool not only can control network QoS on each web reverse proxy cluster in all load-balance link aggregation modes which include round-robin, XOR and ALB but also those of clusters can access multiple network interface. In experiment, average network bandwidths in all QoS cases are around 200 MB per second for link aggregation of 2 gigabit interface.

scholarly journals AVL and Monitoring for Massive Traffic Control System over DDS

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Basem Almadani ◽  
Shehryar Khan ◽  
Muhammad Naseer Bajwa ◽  
Tarek R. Sheltami ◽  
Elhadi Shakshuki
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Large Scale ◽  
Huge Number ◽  
Management Group ◽  
Communication Paradigm ◽  
Time Requirements ◽  
Traffic Control System ◽  
Data Distribution Service ◽  
The City

This paper proposes a real-time Automatic Vehicle Location (AVL) and monitoring system for traffic control of pilgrims coming towards the city of Makkah in Saudi Arabia based on Data Distribution Service (DDS) specified by the Object Management Group (OMG). DDS based middleware employs Real-Time Publish/Subscribe (RTPS) protocol that implements many-to-many communication paradigm suitable in massive traffic control applications. Using this middleware approach, we are able to locate and track huge number of mobile vehicles and identify all passengers in real-time who are coming to perform annual Hajj. For validation of our proposed framework, various performance matrices are examined over WLAN using DDS. Results show that DDS based middleware can meet real-time requirements in large-scale AVL environment.

scholarly journals A Novel Traffic Control Scheme for Multi-Layered Satellite Network Based on Chain Reaction Model

2016 ◽  
Vol 12 (1) ◽  
pp. 28
Author(s):  
Ning Li ◽  
Pengfei Wang ◽  
Zhongliang Deng ◽  
Ke Han
Keyword(s):  
Traffic Control ◽  
Loss Rate ◽  
Reaction Model ◽  
Packet Loss Rate ◽  
Delay Tolerant Network ◽  
Satellite Network ◽  
Chain Reaction ◽  
Control Scheme ◽  
New Business ◽  
Delay Tolerant

Multi-Layered Satellite Network (MLSN) is a kind of delay tolerant network with characters of intermittent connection, long packet queuing time, complex and uncertain delay time, etc. The call congestion rate of new business is higher in delay tolerant network which leads to the reduction of communication quality and the high packet loss rate. The existing traffic control scheme is hard to meet the individual requirements of new business. It becomes more and more important to study the most effective traffic control scheme so as to increase the satellite bandwidth utilization. According to the nuclear chain reaction of atomic physics, a novel traffic control method based on chain reaction model (TCCR) is presented in this paper to realize dynamic data transmission and control for MLSN. The optimal flow distribution scheme will be obtained by analyzing the network transmission information in this algorithm. Simulation by OPENT is done which proves that TCCR can obviously improve the network total throughput, shorten link transmission delay, and reduce packet loss rate of MLSN.

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