Network Testing Utilizing Programmable Network Hardware

QoS requirements on modern network hardware, including switches and routers, require the ability to conduct precise measurements of the packet processing and forwarding of network elements. This requires tracing packet processing and detecting the loss of packets with high timing accuracy. Current approaches for network testing rely on special and purpose-built devices, which are costly and inflexible as these devices cannot be reconfigured to include new testing or monitoring functionality. In this article, we demonstrate the power behind novel programmable network switches to enable highly accurate and flexible testing and monitoring of network element functionality before and during deployment. While the cost of such switches is comparable to traditional commodity switches, their processing logic can be programmed to realize specific networking functionality. In the context of P4STA, an open source measurement framework previously presented by us, we show how the programmability of modern network switches helps to perform highly accurate and purpose-independent testing of network elements. In addition, we also highlight its ability to support reconfigurable monitoring tasks within the network after deployment

Taking Saratoga from Space-Based Ground Sensors to Ground-Based Space Sensors

The Saratoga transfer protocol was developed by Surrey Satellite Technology Ltd (SSTL) for its Disaster Monitoring Constellation (DMC) satellites. In over seven years of operation, Saratoga has provided efficient delivery of remote-sensing Earth observation imagery, across private wireless links, from these seven low-orbit satellites to ground stations, using the Internet Protocol (IP). Saratoga is designed to cope with high bandwidth-delay products, constrained acknowledgement channels, and high loss while streaming or delivering extremely large files. An implementation of this protocol has now been developed at the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) for wider use and testing. This is intended to prototype delivery of data across dedicated astronomy radio telescope networks on the ground, where networked sensors in Very Long Baseline Interferometer (VLBI) instruments generate large amounts of data for processing and can send that data across private IP- and Ethernet-based links at very high rates. We describe this new Saratoga implementation, its features and focus on high throughput and link utilization, and lessons learned in developing this protocol for sensor-network applications.Comment: Preprint of peer-reviewed conference paper accepted by and to appear at the IEEE Aerospace 2011 conference, Big Sky, Montana, March 201

Improving Inter-service bandwidth fairness in Wireless Mesh Networks

Includes bibliographical references.We are currently experiencing many technological advances and as a result, a lot of applications and services are developed for use in homes, offices and out in the field. In order to attract users and customers, most applications and / or services are loaded with graphics, pictures and movie clips. This unfortunately means most of these next generation services put a lot of strain on networking resources, namely bandwidth. Efficient management of bandwidth in next generation wireless network is therefore important for ensuring fairness in bandwidth allocation amongst multiple services with diverse quality of service needs. A number of algorithms have been proposed for fairness in bandwidth allocation in wireless networks, and some researchers have used game theory to model the different aspects of fairness. However, most of the existing algorithms only ensure fairness for individual requests and disregard fairness among the classes of services while some other algorithms ensure fairness for the classes of services and disregard fairness among individual requests

Stellar: Network Attack Mitigation using Advanced Blackholing

© ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies - CoNEXT ’18, http://dx.doi.org/10.1145/3281411.3281413.Network attacks, including Distributed Denial-of-Service (DDoS), continuously increase in terms of bandwidth along with damage (recent attacks exceed 1.7 Tbps) and have a devastating impact on the targeted companies/governments. Over the years, mitigation techniques, ranging from blackholing to policy-based filtering at routers, and on to traffic scrubbing, have been added to the network operator’s toolbox. Even though these mitigation techniques pro- vide some protection, they either yield severe collateral damage, e.g., dropping legitimate traffic (blackholing), are cost-intensive, or do not scale well for Tbps level attacks (ACL filltering, traffic scrubbing), or require cooperation and sharing of resources (Flowspec). In this paper, we propose Advanced Blackholing and its system realization Stellar. Advanced blackholing builds upon the scalability of blackholing while limiting collateral damage by increasing its granularity. Moreover, Stellar reduces the required level of cooperation to enhance mitigation effectiveness. We show that fine-grained blackholing can be realized, e.g., at a major IXP, by combining available hardware filters with novel signaling mechanisms. We evaluate the scalability and performance of Stellar at a large IXP that interconnects more than 800 networks, exchanges more than 6 Tbps tra c, and witnesses many network attacks every day. Our results show that network attacks, e.g., DDoS amplification attacks, can be successfully mitigated while the networks and services under attack continue to operate untroubled.EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNetDFG, FE 570/4-1, Gottfried Wilhelm Leibniz-Preis 201