Load Balance-Aware Multi-Core Parallel Routing for Large-Scale FPGAs

2018 ◽  
Author(s):  
Minghua Shen ◽  
Nong Xiao
Keyword(s):  
Load Balance ◽  
Large Scale

scholarly journals PeerFlow: Secure Load Balancing in Tor

2017 ◽  
Vol 2017 (2) ◽  
pp. 74-94 ◽  
Author(s):  
Aaron Johnson ◽  
Rob Jansen ◽  
Nicholas Hopper ◽  
Aaron Segal ◽  
Paul Syverson
Keyword(s):  
Load Balancing ◽  
Load Balance ◽  
Large Scale ◽  
Scanning System ◽  
Large Scale Network ◽  
Improve Accuracy ◽  
Scale Network ◽  
Network Simulations ◽  
Improved Design ◽  
Speed And Accuracy

Abstract We present PeerFlow, a system to securely load balance client traffic in Tor. Security in Tor requires that no adversary handle too much traffic. However, Tor relays are run by volunteers who cannot be trusted to report the relay bandwidths, which Tor clients use for load balancing. We show that existing methods to determine the bandwidths of Tor relays allow an adversary with little bandwidth to attack large amounts of client traffic. These methods include Tor’s current bandwidth-scanning system, TorFlow, and the peer-measurement system EigenSpeed. We present an improved design called PeerFlow that uses a peer-measurement process both to limit an adversary’s ability to increase his measured bandwidth and to improve accuracy. We show our system to be secure, fast, and efficient. We implement PeerFlow in Tor and demonstrate its speed and accuracy in large-scale network simulations.

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.

Load Balance and Trajectory Design in Multi-UAV Aided Large-Scale Wireless Rechargeable Networks

2020 ◽  
Vol 69 (11) ◽  
pp. 13756-13767 ◽  
Author(s):  
Pengfei Wu ◽  
Fu Xiao ◽  
Haiping Huang ◽  
Ruchuan Wang
Keyword(s):  
Load Balance ◽  
Large Scale ◽  
Trajectory Design ◽  
Multi Uav

Improvement on the Anycast Routing Algorithm Based on Genetic Algorithm

2011 ◽  
Vol 305 ◽  
pp. 389-393
Author(s):  
Min Shuo Li ◽  
Hua Wen Liu
Keyword(s):  
Genetic Algorithm ◽  
Load Balance ◽  
Large Scale ◽  
Simulation Experiment ◽  
Routing Algorithm ◽  
Large Scale Network ◽  
Anycast Routing ◽  
Scale Network ◽  
Performance Discrepancy ◽  
Improved Algorithm

Anycast routing can raise the QoS of networks and offers load-balance, it is the leading issue in the domain of computer, electric and communication. With the study of the anycast routing algorithm based on genetic algorithm, we put forth an improved anycast routing algorithm in the thesis. Through a lot simulation experiment on simulating platform, we compare and evaluate the performance discrepancy of the improved algorithm and the old one. The improved anycast-routing algorithm befits large-scale network, can satisfy the demand of the development of the net, It has more competent application merit.

scholarly journals Parallelization of a Large-Scale Watersheds Hydrological Model using CPU and GPU

2018 ◽  
Author(s):  
Henrique R. A. Freitas ◽  
Celso Mendes
Keyword(s):  
Numerical Method ◽  
Extreme Events ◽  
Load Balance ◽  
Large Scale ◽  
Hydrological Model ◽  
Hydrological Models ◽  
Water Flows ◽  
Model Efficiency

Hydrological models are commonly employed to calculate water flows on rivers and watersheds for the analysis of extreme events in nature. Computations in these models can grow depending on the numerical method, and also on the spatial and temporal resolutions, thus affecting the model efficiency and utility. This work parallelizes the MGB hydrological model on either CPU with OpenMP or GPU with OpenACC, respectively, aiming at the improvement in performance by employing computing resources of an HPC system. An analysis of the sequential and parallel executions is presented together with the runtime, speedup, efficiency, and load balance achieved.

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