scholarly journals High-Performance Network Traffic Processing Systems Using Commodity Hardware

2013 ◽  
pp. 3-27 ◽  
Author(s):  
José Luis García-Dorado ◽  
Felipe Mata ◽  
Javier Ramos ◽  
Pedro M. Santiago del Río ◽  
Victor Moreno ◽  
...  
Keyword(s):  
Network Traffic ◽  
High Performance ◽  
Commodity Hardware

scholarly journals High-speed network traffic capturing and processing tools

2021 ◽  
Vol 33 (4) ◽  
pp. 49-68
Author(s):  
Dmitry Victorovich Larin ◽  
Aleksandr Igorevich Getman
Keyword(s):  
Operating Systems ◽  
Network Traffic ◽  
High Speed ◽  
High Performance ◽  
Virtual Network ◽  
Packet Processing ◽  
Commodity Hardware ◽  
High Speed Network ◽  
Traffic Rate ◽  
Network Functions

Network stacks currently implemented in operating systems can no longer cope with the packet rates offered by 10 Gbit Ethernet. Thus, frameworks were developed claiming to offer a faster alternative for this demand. These frameworks enable arbitrary packet processing systems to be built from commodity hardware handling a traffic rate of several 10 Gbit interfaces, entering a domain previously only available to custom-built hardware. In this paper, we survey various frameworks for high-performance packet IO and their interaction with a modular frameworks and specialized virtual network functions software for high-speed packet processing. We introduce a model to estimate and assess the performance of these packet processing frameworks. Moreover, we analyze the performance of the most prominent frameworks based on representative measurements in packet capturing scenarios. Therefore, we provide a comparison between them and select the area of applicability.

High-performance implementation of in-network traffic pacing for small-buffer networks

2013 ◽  
Vol 36 (13) ◽  
pp. 1450-1459
Author(s):  
Y. Sinan Hanay ◽  
Abhishek Dwaraki ◽  
Kekai Hu ◽  
Tilman Wolf
Keyword(s):  
Network Traffic ◽  
High Performance

scholarly journals HPC as a service: A naive Model

2020 ◽  
Author(s):  
Hamza Ali Imran
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Raspberry Pi ◽  
Computing Power ◽  
Commodity Hardware ◽  
Beowulf Clusters ◽  
History Of ◽  
Important Field ◽  
Special Expertise ◽  
Performance Computing

Applications like Big Data, Machine Learning, Deep Learning and even other Engineering and Scientific research requires a lot of computing power; making High-Performance Computing (HPC) an important field. But access to Supercomputers is out of range from the majority. Nowadays Supercomputers are actually clusters of computers usually made-up of commodity hardware. Such clusters are called Beowulf Clusters. The history of which goes back to 1994 when NASA built a Supercomputer by creating a cluster of commodity hardware. In recent times a lot of effort has been done in making HPC Clusters of even single board computers (SBCs). Although the creation of clusters of commodity hardware is possible but is a cumbersome task. Moreover, the maintenance of such systems is also difficult and requires special expertise and time. The concept of cloud is to provide on-demand resources that can be services, platform or even infrastructure and this is done by sharing a big resource pool. Cloud computing has resolved problems like maintenance of hardware and requirement of having expertise in networking etc. An effort is made of bringing concepts from cloud computing to HPC in order to get benefits of cloud. The main target is to create a system which can develop a capability of providing computing power as a service which to further be referred to as Supercomputer as a service. A prototype was made using Raspberry Pi (RPi) 3B and 3B+ Single Board Computers. The reason for using RPi boards was increasing popularity of ARM processors in the field of HPC

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