Adaptive signal processing
Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
SNMP, SNMPv2, and CMIP: the practical guide to network management
SNMP, SNMPv2, and CMIP: the practical guide to network management
The simple book (2nd ed.): an introduction to internet management
The simple book (2nd ed.): an introduction to internet management
Application of sampling methodologies to network traffic characterization
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
IEEE/ACM Transactions on Networking (TON)
A comparative analysis of fuzzy versus conventional policing mechanisms for ATM networks
IEEE/ACM Transactions on Networking (TON)
Design of a fuzzy traffic controller for ATM networks
IEEE/ACM Transactions on Networking (TON)
Traffic sampling methods for end-to-end QoS evaluation in large heterogeneous networks
TNC'98 Proceedings of the TERENA networking conference '98 on Towards networking and services in the year 2001
SNMP: A Guide to Network Management
SNMP: A Guide to Network Management
The Fuzzy Systems Handkbook with Cdrom
The Fuzzy Systems Handkbook with Cdrom
Adaptive Sampling Methods to Determine Network Traffic Statistics including the Hurst Parameter
LCN '98 Proceedings of the 23rd Annual IEEE Conference on Local Computer Networks
EXPLICIT WINDOW ADAPTATION: A METHOD TO ENHANCE TCP PERFORMANCE
EXPLICIT WINDOW ADAPTATION: A METHOD TO ENHANCE TCP PERFORMANCE
Cybernetics and Systems Analysis
Detecting malicious nodes in peer-to-peer streaming by peer-based monitoring
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Improving network measurement efficiency through multiadaptive sampling
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Exploiting packet-sampling measurements for traffic characterization and classification
International Journal of Network Management
A multiadaptive sampling technique for cost-effective network measurements
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.00 |
High-performance networks require sophisticated management systems to identify sources of bottlenecks and detect faults. At the same time, the impact of network queries on the latency and bandwidth available to the applications must be minimized. Adaptive techniques can be used to control and reduce the rate of sampling of network information, reducing the amount of processed data and lessening the overhead on the network. Two adaptive sampling methods are proposed in this paper based on linear prediction and fuzzy logic. The performance of these techniques is compared with conventional sampling methods by conducting simulative experiments using Internet and videoconference traffic patterns. The adaptive techniques are significantly more flexible in their ability to dynamically adjust with fluctuations in network behavior, and in some cases they are able to reduce the sample count by as much as a factor of two while maintaining the same accuracy as the best conventional sampling interval. The results illustrate that adaptive sampling provides the potential for better monitoring, control, and management of high-performance networks with higher accuracy, lower overhead, or both.