scholarly journals INTERNET DATA PACKET TRANSPORT: FROM GLOBAL TOPOLOGY TO LOCAL QUEUEING DYNAMICS

2007 ◽  
Vol 17 (07) ◽  
pp. 2485-2490 ◽  
Author(s):  
H. K. LEE ◽  
K.-I. GOH ◽  
B. KAHNG ◽  
D. KIM
Keyword(s):  
Delay Time ◽  
Length Distribution ◽  
Structural Features ◽  
Network Size ◽  
Data Packet ◽  
The Internet ◽  
Power Law Distribution ◽  
Average Delay ◽  
Data Packets ◽  
Average Delay Time

We study structural feature and evolution of the Internet at the autonomous systems level. Extracting relevant parameters for the growth dynamics of the Internet topology, we construct a toy model for the Internet evolution, which includes the ingredients of multiplicative stochastic evolution of nodes and edges and adaptive rewiring of edges. The model reproduces successfully structural features of the Internet at a fundamental level. We also introduce a quantity called the load as the capacity of node needed for handling the communication traffic and study its time-dependent behavior at the hubs across years. The load at hub increases with network size N as ~ N1.8. Finally, we study data packet traffic in the microscopic scale. The average delay time of data packets in a queueing system is calculated, in particular, when the number of arrival channels is scale-free. We show that when the number of arriving data packets follows a power law distribution, ~ n-λ, the queue length distribution decays as n1-λ and the average delay time at the hub diverges as ~ N(3-λ)/(γ-1) in the N → ∞ limit when 2 < λ < 3γ being the network degree exponent.

scholarly journals Pengembangan Sistem Ground Control Station Berbasis Internet Webserver pada Pesawat Tanpa Awak

2018 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Fredy Aga Nugroho ◽  
Raden Sumiharto ◽  
Roghib Muhammad Hujja
Keyword(s):  
Delay Time ◽  
Web Server ◽  
Streaming Video ◽  
Ground Control ◽  
Raspberry Pi ◽  
The Internet ◽  
Pixel Resolution ◽  
Ground Control Station ◽  
Internet Network

In unmanned aerial operations, the ground control station duties as a monitoring and command station so that operators on land can send mission orders, monitor the mission's course and monitor the condition of the UAV during the mission. It is necessary to have a GCS system capable of connecting with UAV that not limited with control transmitter range.This research develops GCS system using internet network and web server based. the system consists of two units, namely flying units and GCS units. The flying unit consists of Raspberry pi, modem, webcam, ADAHRS module and quadrotor with MultiWii controller. on the GCS unit consists of Raspberry pi connected on the internet network with 10Mbps download speed and 1.5Mbps upload.The GCS system can display aircraft conditions, stream video and perform command controls. Configure streaming video for delay time of no more than one second with 240x144 pixel resolution, 256kbps maximum bitrate and 5 fps framerate. This configuration runs at a 1.1 Mbps upload speed with a percentage of 93.83% bitrate compression. Aircraft condition data sent to GCS is optimal if internet bandwidth exceeds the bitrate of streaming video used on the system

scholarly journals Classification of Load Balancing in the Internet

2020 ◽  
Author(s):  
Rafael Almeida ◽  
Ítalo Cunha
Keyword(s):  
Load Balancing ◽  
Large Scale ◽  
Measurement Techniques ◽  
The Internet ◽  
Analysis Software ◽  
Complex Load ◽  
Packet Header ◽  
Measurement And Analysis ◽  
Measurement Campaigns

Recent advances in programmable data plans, software-defined networks and the adoption of IPv6 support new and more complex load balancing strategies. In this work, we introduce the Multipath Classification Algorithm (MCA), a probing algorithm that extends traceroute to identify and classify load balancing on Internet routes. We generalize the current formalism to describe load balancing and extend existing measurement techniques to consider that load balancing can use arbitrary combinations of packet header fields. We propose optimizations to reduce the probing cost, applicable to both MCA and existing load balancing measurement techniques. Through large-scale measurement campaigns, we characterize and study the evolution of load balancing on the IPv4 and IPv6 Internet, using various transport protocols. Our results show that load balancing is more prevalent and that load balancing strategies currently in use are more mature than the previous characterizations have found. We share our measurement and analysis software as well as datasets with the Internet measurement community.

scholarly journals Towards Understanding the Social Characteristic of YouKu: Measurement and Analysis

2012 ◽  
Vol 6-7 ◽  
pp. 1112-1117
Author(s):  
Yong Jun Li ◽  
Chun You ◽  
Xu Dong Bao
Keyword(s):  
Social Networking ◽  
Large Scale ◽  
Small World ◽  
Clustering Coefficient ◽  
The Internet ◽  
Social Characteristic ◽  
Social Networking Services ◽  
The Social ◽  
Measurement And Analysis ◽  
Current Systems

Online Social networking services are among the most popular sites and become the fast-growing business in the Internet. In-depth understanding the social characteristic of these networks can serve to optimize current systems, to design future social network based systems, and to eventually exploit the user base for commercial purposes. In this paper, we present a large-scale measurement study and analysis on the social structure of YouKu. Our results validate the power-law, small-world and clustering coefficient properties, present the correlation and difference among four centrality properties. Finally we discuss the utilization of these structural properties for the commercial purposes.

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