López Herrera, Javier
Conference Papers
New Approaches for Modeling High Speed Network Traffic Analysis Systems: Performance Evaluation
Javier López, Armando Ferro, Alejandro Muñoz
2nd EuroSys Doctoral Workshop
Glasgow (Scotland)
1st April 2008
Glasgow (Scotland)
1st April 2008
Ksensor: Multithreaded kernel-level probe for passive QoS monitoring
Alejandro Muñoz, Armando Ferro, Fidel Liberal, Javier López
2007 International Conference on Parallel and Distributed Systems (ICPADS 2007)
Hsinchu, Taiwan
5-7 Dec. 2007
Hsinchu, Taiwan
5-7 Dec. 2007
ABSTRACT
Traffic monitoring is an increasingly important discipline for nowadays networking, as Accounting, Security and Traffic Engineering lay on it. Besides, traffic bandwidth has increased exponentially in the last few years, and high-speed network monitoring has become a challenging task. Performance requirements are highly relevant for passive QoS monitoring systems. A low-level study of the capturing and processing stages on a traffic analysis system (TAS) has shown room for improvement. We provide an architecture able to cope with high-speed traffic monitoring using commodity hardware. Our system is intended to exploit the parallelism available in up-to-date workstations, which also introduces constraints for multithreaded QoS analysis. This paper presents a kernel-level framework (ksensor) that, keeping the previous requirements, removes some issues from user-level processing and effectively integrates QoS algorithms, improving the overall performance.
Traffic monitoring is an increasingly important discipline for nowadays networking, as Accounting, Security and Traffic Engineering lay on it. Besides, traffic bandwidth has increased exponentially in the last few years, and high-speed network monitoring has become a challenging task. Performance requirements are highly relevant for passive QoS monitoring systems. A low-level study of the capturing and processing stages on a traffic analysis system (TAS) has shown room for improvement. We provide an architecture able to cope with high-speed traffic monitoring using commodity hardware. Our system is intended to exploit the parallelism available in up-to-date workstations, which also introduces constraints for multithreaded QoS analysis. This paper presents a kernel-level framework (ksensor) that, keeping the previous requirements, removes some issues from user-level processing and effectively integrates QoS algorithms, improving the overall performance.
A Kernel-Level Monitor over Multiprocessor Architectures for High-Performance Network Analysis with Commodity Hardware
Alejandro Muñoz, Armando Ferro, Fidel Liberal, Javier López
2007 Internationa Conference on Sensor Technologies and Applications (SensorComm 2007)
Valencia, Spain
14-20 Oct. 2007
Valencia, Spain
14-20 Oct. 2007
ABSTRACT
Traffic monitoring is an increasingly important discipline for nowadays networking, as Accounting, Security and also Quality of Service (QoS) lay on it. Besides, traffic bandwidth has increased exponentially in the last few years, and high-speed network monitoring is a challenging aim. Performance requirements are highly relevant for monitoring systems. A low-level study of the capturing stages on a traffic analysis system (TAS) has shown room for improvement. We provide an architecture able to cope with high-speed traffic monitoring using commodity hardware. Our design is also intended to exploit the parallelism available in up-to-date workstations. This paper presents a kernel-level monitoring system (ksensor) that, keeping the previous requirements, removes some issues from user-level processing, improving the overall performance.
Traffic monitoring is an increasingly important discipline for nowadays networking, as Accounting, Security and also Quality of Service (QoS) lay on it. Besides, traffic bandwidth has increased exponentially in the last few years, and high-speed network monitoring is a challenging aim. Performance requirements are highly relevant for monitoring systems. A low-level study of the capturing stages on a traffic analysis system (TAS) has shown room for improvement. We provide an architecture able to cope with high-speed traffic monitoring using commodity hardware. Our design is also intended to exploit the parallelism available in up-to-date workstations. This paper presents a kernel-level monitoring system (ksensor) that, keeping the previous requirements, removes some issues from user-level processing, improving the overall performance.