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 The Influence of Controller Parameters on the Quality of the Train Converter Current

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
M. Brenna ◽  
F. Foiadelli ◽  
D. Zaninelli
Keyword(s):  
Traffic Control ◽  
High Speed ◽  
Control Structure ◽  
Pi Controller ◽  
Signaling System ◽  
Harmonic Content ◽  
High Speed Trains ◽  
Set Up ◽  
A Current

This paper presents a stability analysis of train converters in order to evaluate how the controller parameters affect the absorbed current. The new dynamic model presented in this paper is capable of considering the time-variant nature of the system for the correct tuning of the feedback proportional-integral PI controller, applying a current controlled modulation technique never used in high-power traction converters. The reduction of the harmonic content of the current absorbed by a converter employed at the input stage onboard high-speed trains is really important, considering the interaction with the signaling system set up for traffic control. A computer model of the converter, considering both the power and the control structure, has also been implemented in order to deliver a validated tool for the developed theoretical analysis.

DWMH: An Improved Algorithm Based on WM for Large-Scale Pattern Set

2013 ◽  
Vol 765-767 ◽  
pp. 963-967
Author(s):  
Xiao Ning Xu ◽  
Ai Ping Li ◽  
Jun Xing Zhu
Keyword(s):  
High Speed ◽  
Large Scale ◽  
String Matching ◽  
Hash Table ◽  
Matching Algorithm ◽  
Set Size ◽  
Security Applications ◽  
Network Bandwidth ◽  
Key Technologies ◽  
Improved Algorithm

String matching algorithm is one of the key technologies in numerous network security applications and systems. Nowadays, the increasing network bandwidth and pattern set size both call for high speed string matching algorithm for large-scale pattern set. An improved algorithm based on WM algorithm for large-scale pattern set is proposed in this paper. The presented multiple pattern string matching algorithm, DWMH, which we call in brief, combines the idea of Horspool algorithm with WM algorithm and applies the method of double hash to revise WMs HASH table to achieve better performance. Our extensive experiments demonstrated that DWMH algorithm is more efficient than WM algorithm, particularly when the size of pattern set becomes large-scale.

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.

scholarly journals The movement and forces of spinning solution in the nozzle during high-speed centrifugal spinning

2019 ◽  
Vol 14 ◽  
pp. 155892501982820 ◽  
Author(s):  
Yaoshuai Duan ◽  
Zhiming Zhang ◽  
Binbin Lu ◽  
Boya Chen ◽  
Zilong Lai
Keyword(s):  
Rotational Speed ◽  
High Speed ◽  
Large Scale ◽  
Production Efficiency ◽  
Critical Value ◽  
Parametric Model ◽  
Rotating Speed ◽  
Centrifugal Spinning ◽  
Novel Method

High-speed centrifugal spinning is a novel method to fabricate nanofiber. It has the potential to fabricate nanofiber on a large scale because its production efficiency is much greater than traditional methods. Nozzle is an important part of high-speed centrifugal spinning equipment because its length, shape, and diameter all will affect the morphology and quality of nanofiber. It is useful to study the movement and forces of spinning solution in the nozzle. In this article, the principle and equipment structure of high-speed centrifugal spinning are briefly introduced at first. Then the movement and forces of spinning solution are analyzed by establishing parametric model at nozzle. It can be found that the spinning solution is ejected from nozzle when the rotating speed reaches a critical value. The critical rotating speed is inversely proportional to the radius of nozzle and directly proportional to the viscosity of spinning solution. There are several nozzle structures proposed and compared for nozzle optimization. Finally, the effects of nozzle parameters, concentration of spinning solution, and rotational speed on the morphology of nanofiber are verified by high-speed centrifugal spinning experiments. It lays the foundation for optimizing spinning equipment.

scholarly journals Parallel Fractal Compression Method for Big Video Data

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Shuai Liu ◽  
Weiling Bai ◽  
Gaocheng Liu ◽  
Wenhui Li ◽  
Hari M. Srivastava
Keyword(s):  
Computational Complexity ◽  
Large Scale ◽  
Video Sequence ◽  
Video Data ◽  
Compression Method ◽  
Fractal Compression ◽  
Network Bandwidth ◽  
Compression Time ◽  
Color Similarity

With the development of technologies such as multimedia technology and information technology, a great deal of video data is generated every day. However, storing and transmitting big video data requires a large quantity of storage space and network bandwidth because of its large scale. Therefore, the compression method of big video data has become a challenging research topic at present. Performance of existing content-based video sequence compression method is difficult to be effectively improved. Therefore, in this paper, we present a fractal-based parallel compression method without content for big video data. First of all, in order to reduce computational complexity, a video sequence is divided into several fragments according to the spatial and temporal similarity. Secondly, domain and range blocks are classified based on the color similarity feature to reduce computational complexity in each video fragment. Meanwhile, a fractal compression method is deployed in a SIMD parallel environment to reduce compression time and improve the compression ratio. Finally, experimental results show that the proposed method not only improves the quality of the recovered image but also improves the compression speed by compared with existing compression algorithms.

scholarly journals Architecture for IP-Based Next Generation Radio Access Network

2010 ◽  
pp. 61-76
Author(s):  
Ram Dantu ◽  
Parthasarathy Guturu
Keyword(s):  
Traffic Control ◽  
Access Network ◽  
Real Life ◽  
Next Generation ◽  
Dynamic Configuration ◽  
High Performing ◽  
Network Bandwidth ◽  
Radio Access ◽  
Real Life Data

High call volumes due to novel mobile data applications necessitate development of next generation wireless networks centered on high performing and highly available radio access networks (RANs). In this chapter, the authors present an innovative IP-based wireless routing architecture (for a RAN) with mechanisms for seamless handoff operations and high Quality of Service (QOS). Algorithms for dynamic configuration of the RAN, and efficacious network bandwidth management through traffic control are also presented. The authors establish the superiority of their system with real-life data indicating significant cost and availability improvements with our system over the traditional networks.

Assessment of quality of life in patients with the effects of transient ischemic stroke

2016 ◽  
pp. 37-39
Author(s):  
A. Babirad
Keyword(s):  
Quality Of Life ◽  
Ischemic Stroke ◽  
Large Scale ◽  
Cerebrovascular Diseases ◽  
Control Measures ◽  
Sociological Research ◽  
Cerebrovascular Events ◽  
Sf 36 ◽  
Angioplasty And Stenting

Cerebrovascular diseases are a problem of the world today, and according to the forecast, the problem of the near future arises. The main risk factors for the development of ischemic disorders of the cerebral circulation include oblique and aging, arterial hypertension, smoking, diabetes mellitus and heart disease. An effective strategy for the prevention of cerebrovascular events is based on the implementation of large-scale risk control measures, including the use of antiagregant and anticoagulant therapy, invasive interventions such as atheromectomy, angioplasty and stenting. In this connection, the efforts of neurologists, cardiologists, angiosurgery, endocrinologists and other specialists are the basis for achieving an acceptable clinical outcome. A review of the SF-36 method for assessing the quality of life in patients with the effects of transient ischemic stroke is presented. The assessment of quality of life is recognized in world medical practice and research, an indicator that is also used to assess the quality of the health system and in general sociological research.

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